10. Advanced Computer Vision & Genai Technology For HSE Monitoring

AFAQY S.A.F.E.R. AI CCTV HSE Violation Detection Solution

Introduction

Afaqy proposes a centralized, AI-powered video analytics solution for BEAH Waste Services, aimed at transforming operations across the BEAH network. The AFAQY S.A.F.E.R. is an AI CCTV HSE Violation Detection System which is an AI-powered safety system designed for the detection of unsafe events remotely. The proposed system integrates real-time video feeds with intelligent analytics across multiple plant sites, enabling proactive monitoring and automation. Each site will be equipped with smart surveillance cameras capable of detecting safety, operational, and compliance events. These cameras are connected to a unified backend that processes visual data using state-of-the-art computer vision models, delivering actionable insights through an intuitive plant-level dashboard.

Cameras deployed across four STPs (each consisting of multiple operational zones) will feed their video streams through PoE switches, with uplinks via optical fiber. The feeds are then routed through on-site Network Video Recorders (NVRs), and centralized at a main server for Al processing and storage. Fortinet firewalls will manage inter-site communication and secure data exchange. The output is visualized through a browser-accessible platform, where HSE managers can view live alerts, historical event logs, and KPI-driven analytics tailored to each operational context - from PPE compliance to leak detection and unauthorized access.

Key Components of the system

• AI Video Analytics Engine - Processes real-time video for detection tasks (PPE, leaks, intrusions, etc.)
• Web-Based Dashboard - User-friendly interface to view alerts, KPIs, video playback, and reports
• Camera Streams Ingestion Module - Optimized backend to ingest, store, and retrieve video streams
• Event Management System - Classifies, logs, and prioritizes incidents detected by AI models -Site Connectivity Layer - Ensures smooth communication between sites via firewall-secured links
• Data Sync & Backup Module - Provides fault tolerance and synchronizes event data centrally
• System API Layer - For possible integration with existing Intelex or HSE Systems

Document Purpose

This document provides a comprehensive guide to the HSE violation detection and ticketing system, outlining the complete workflow from violation detection to ticket resolution.

Key Features:

• Real-time HSE violation detection through camera monitoring
• Automated ticket generation with unique IDs
• Multi-stage ticket resolution flow (Active, Acknowledged, Under Review, Resolved)
• Employee tracking and violations history

Safety Detection & Compliance

Functional Coverage PPE & Safety:

Detection of PPE compliance (helmet, vest, gloves, goggles, boots, mask, harness) and unsafe practices.

Helmet Violation:

Detects workers without proper head protection in designated areas, preventing head injuries from falling objects or impact hazards.

Vest Violation:

Identifies workers not wearing high-visibility vests, ensuring visibility in high-traffic zones and preventing accidents.

Gloves Violation:

Monitors absence of protective gloves when handling hazardous materials, chemicals, or sharp objects to prevent hand injuries.

Goggles Violation:

Detects missing eye protection in areas with dust, chemical splashes, or debris, safeguarding workers’ vision.

Shoes Violation:

Identifies improper or missing safety footwear, protecting workers from punctures, slips, and crushing injuries.

Mask Violation:

Monitors respiratory protection compliance in areas with airborne contaminants, dust, or harmful gases.

Safety Harness Violation:

Detects workers at height without fall protection harnesses, preventing fatal falls from elevated work areas.

Worker Safety & Environment:

Monitoring environmental hazards (fire, smoke, spills, falls, lone workers, crowds, speeding) and unsafe conditions.

Fire Violation:

Real-time detection of flames or fire outbreaks to enable immediate emergency response and evacuation.

Smoke Violation:

Identifies smoke presence indicating potential fire hazards or equipment malfunctions requiring urgent attention.

Crowd Violation:

Monitors excessive worker congregation in restricted areas, preventing overcrowding and ensuring emergency exit accessibility. This is also applicable for confined spaces.

Lone Violation:

Detects isolated workers in hazardous zones where buddy system or supervision is mandatory for safety.

Speeding Violation:

Identifies vehicles or equipment exceeding safe speed limits in work zones, preventing collisions and accidents.

Spill Violation:

Detects liquid spills or leaks that create slip hazards or indicate chemical/oil containment breaches.

Fall Detection:

Real-time detection of worker falls or collapse, enabling immediate medical response and rescue operations.

Tickets User Interface

Violation:

A violation occurs when a worker is detected without required PPE equipment (helmet, safety coat, etc.) by the camera system.

Ticket:

A ticket is an automated record of similar violations, generated for each site unit, containing details like timestamp, location, violation type, and “involved workers” with “images of the violations”. Each ticket has a unique ID (e.g., TKT1101, TKT1102) for tracking and resolution purposes.

Ticket Details:

Each ticket displays comprehensive information including the site name and location (e.g., Maintenance Unit 1, AL SEEB STP, MUSCAT), ticket duration (e.g., $5 \mathrm{~min}, 15 \mathrm{~min}$ ), date and time of occurrence (e.g., 14 Jul, 2:49PM), the specific violation type detected (e.g., Helmet violation, Coat violation), and the number of violations captured in that ticket (e.g., 3 violations).

TKT1101

Maintenance Unit 1

14 Jul, 2:49PM

AL SEEB STP, MUSCAT

Ticket Duration: 20 min

Helmet violation

Tickets Page View:

This is the main Violations Tickets page that displays all HSE violation tickets in the system. The following page shows a total of 18 violation tickets at the top.

The tickets are organized into three categories:

• Active Tickets - Tickets that are currently open and require action
• Under Review - Tickets that are being reviewed by the team
• Resolved Tickets - Tickets that have been resolved and closed

The page offers multiple viewing and filtering options including grid view for visual overview, list view for detailed information, archived tickets to access historical records, and filters to search and sort tickets based on specific criteria.

Active Tickets (6)

Maintenance Unit 1 14 Jul, 3:00PM

• AL KHOUD Pumping Stati…

Ticket Duration: 5 min

Helmet violation

TKT1102

Assembly Unit 1 13 Jul , 3:30PM AL ANSAB STP, MUSCAT Ticket Duration: 20 min

Loading Unit 1 10 Jul, 12:09PM AL SEEB STP, MUSCAT Ticket Duration: 10min

Under Review (6)

Maintenance Unit 1 15 Jul, 2:00PM AL BARKA Pumping Stati… Ticket Duration: 10 min

Lone violation

TKT1105

Vest violation

TKT1107

Resolved Tickets (6)

Maintenance Unit 2 16 Jul, 7:00PM AL SEEB STP, MUSCAT Ticket Duration: 15 min

Helmet violation

TKT1109

Assembly Unit 2 08 Jul, 11:49AM AL ANSAB STP, MUSCAT Ticket Duration: $\mathbf{1 4 m i n}$

Gloves violation

Multi-Language Support: English & Arabic Version:

English and Arabic language support with seamless interface switching for all system features. (6)التذاكر النشطا

TKT1113

وحدة الصيانة 2 20min: مدة التذكرة

TKT1109

وحدة التجميع 2 20min: مدة التذكرة

قبد المراجعة(6)

TKT1107

TKT1102

14 Jul, 2:49PM وحدة التجميع 1 مدة التذكرة: 20min محطة معالحة الصرف الصحي الأنصبو -

مخالفة المعطف

TKT1103

Grid view:

The grid view organizes violation tickets into status-based categories (Active, Under Review, Resolved) with visual cards displaying camera snapshots, violation details, timestamps, and assigned users.

Active Tickets (6)

Maintenance Unit 1 14 Jul , 3:00PM AL KHOUD Pumping Stati… Ticket Duration: 5 min

Helmet violation

Τκτ1102

Assembly Unit 1 13 Jul , 3:30PM AL ANSAB STP, MUSCAT Ticket Duration: 20 min

Loading Unit 1 AL SEEB STP, MUSCAT

Vest violation

10 Jul, 12:09PM Ticket Duration: 10min

Under Review (6)

Maintenance Unit 1 15 Jul, 2:00PM AL BARKA Pumping Stati… Ticket Duration: 10 min

Lone violation

TKT1105

Assembly Unit 2 AL ANSAB STP, MUSCAT

08 Jul, 11:49AM Ticket Duration: 14 min

Resolved Tickets (6)

Maintenance Unit 2 16 Jul, 7:00PM AL SEEB STP, MUSCAT Ticket Duration: 15 min

Helmet violation

TKT1109

Gloves violation

Ticket List View:

Accessible from the top right corner button, this feature displays violation tickets organized chronologically by date sections (TODAY, YESTERDAY, etc.) in visual card format for easy navigation between multiple violations.

Dashboard Violations Tickets Cameras

Violations Tickets 18

TODAY ΚΤ1113 TKT1112 TKT1103

Maintenance Unit 1 AL SEEB STP,M., 13 Jul, 2:49PM

Assembly and Fabrication U… AL SEEB STP,M.. 13 Jul, 2:49PM

Maintenance Unit 6 AL ANSAB STP.. 13 Jul, 2:49PM

Helmet violation Helmet violation Vest violation

Assembly Unit 9

Maintenance Unit 1

AL ANSAB STP.. 13 Jul, 2:49PM Al Khoud Pump.. 13 Jul, 2:49PM

Helmet violation

YESTERDAY

TKT1109

TKT1117 TKT1115

Maintenance Unit 1

Loading Unit 1

Maintenance Unit 5 AL SEEB STP,M., 13 Jul, 2:49PM Al Khoud Pump., 13 Jul, 2:49PM Al Barka Pump.. 13 Jul, 2:49PM

Helmet violation

TKT1105

Assembly Unit 2

Al Khoud Pump.. 13 Jul, 2:49PM

WED, JAN 24

Maintenance Unit 7

Al Khoud Pump.. 13 Jul, 2:49PM

Maintenance Unit 10

• Al Khoud Pump.. 13 Jul, 2:49PM

TKT1108hh

Loading Unit 1

AL ANSAB STP.. 13 Jul, 2:49PM

Filter Popup:

A popup modal appears when clicking the Filters button, allowing users to select location, site, and violation type. After making selections, clicking the apply button filters the violation tickets to show only matching incidents, enabling quick access to specific violations based on user requirements.

Notifications:

All system alerts and updates related to PPE violations are displayed in the notifications panel. Realtime notifications are sent when new violations are detected, when tickets are assigned, when actions are required, or when ticket statuses change, ensuring timely response to safety incidents.

Dashboard Violations Tickets Cameras

Violations Tickets

Active Tickets (6)

Maintenance Unit 1 14 Jul, 2:49PM AL SEEB STP, MUSCAT Ticket Duration: 20 min

Helmet violation

ТКТ1102

Maintenance Unit 1 13 Jul, 3:30PM AL SEEB STP, MUSCAT Ticket Duration: 25 min

Coat violation

Under Review (6)

Assembly Unit 2 10 Jul, 1:00PM AL ANSAB STP, MUSCAT Ticket Duration: $\mathbf{1 5 m i n}$

Coat violation

• ТКТ1102

Assembly Unit 2 10 Jul, 12:09PM AL ANSAB STP, MUSCAT Ticket Duration: 40 min

Helmet violation

ТКТ1103

Notifications (3)

All Notifications Unread

System Update now Your system has been successfully updated with improved performance and security.

Ticket Ready for Review 5 min ago Assignee Huda AI-Qahtani has marked the violation ticket as resolved, click to review.

Employee request 15 min ago Employee Huda AI-Qahtani Khan has requested to change his Designation

Violation Detected 6 oct, 2025 Violations Detected at Unit 1 of AI Ansab STP.

Violation Detected 4 oct, 2025 Violations Detected at Unit 1 of AI Ansab STP. Click to view

Assembly Unit 2 08 Jul, 11:49AM AL KHOUD Pumping Stati…H Ticket Duration: 30 min

Coat violation

• ТКТ1103

No Active Tickets:

This screen will appear when there are no active tickets in the system.

Dashboard Violations Tickets Cameras EN AR they are being processed.

No Resolved Tickets

There are currently no resolved violation tickets. Resolved tickets will appear here once violations are addressed.

Active Tickets List:

When new violations occur, active tickets appear displaying all detected HSE violations with their details.

Active Tickets (6) TKT1101

Maintenance Unit 1 14 Jul, 3:00PM

• AL KHOUD Pumping Stati…

Ticket Duration: 5 min

Helmet violation

ΤΚΤ1102

Assembly Unit 1 13 Jul , 3:30PM

• AL ANSAB STP, MUSCAT

Ticket Duration: 20 min

Vest violation

TKT1103

No Tickets Under Review There are currently no tickets under review. Tickets under review will appear here when they are being processed.

No Resolved Tickets

There are currently no resolved violation tickets. Resolved tickets will appear here once violations are addressed.

Under Review Status:

Tickets marked as “Under Review” indicate active investigation or review of the violations.

ткт1102

Assembly Unit 1

AL ANSAB STP, MUSCAT

No Resolved Tickets

There are currently no resolved violation tickets. Resolved tickets will appear here once violations are addressed.

Approval Pending:

Tickets marked as “Approval Pending” indicate that the issue has been resolved but is awaiting final approval from manager or admin.

Resolved Ticket:

Authorization from qualified personnel (typically an HSE manager or supervisor) is required before permanent ticket closure. Reviewers can examine the resolution details and either approve the closure or return the ticket for additional action if the resolution is deemed insufficient.

Assembly Unit 1

13 Jul , 3:30PM AL ANSAB STP, MUSCAT Ticket Duration: 20 min

TKT1103

Under Review (6)

Maintenance Unit 1 15 Jul, 2:00PM AL BARKA Pumping Stati… Ticket Duration: 10 min

Lone violation

TKT1105

Loading Unit 1 10 Jul, 12:09PM AL SEEB STP, MUSCAT Ticket Duration: 10 min

Vest violation

Maintenance Unit 2

AL SEEB STP, MUSCAT

16 Jul, 7:00PM Ticket Duration: 15 min

Assembly Unit 2

AL ANSAB STP, MUSCAT

08 Jul, 11:49AM Ticket Duration: 14 min

Resolved Tickets (6)

Tickets Overview Page:

This is the detailed view of a specific violation ticket, displaying comprehensive ticket information including ticket status, linked users, violation images from multiple camera angles, event timeline, and real-time communication features for collaborative ticket resolution.

Linked Users: know your interests, and I’ll find the best courses for you!

Replying to

Violations

Loading Dock 2:49PM CAM1162 Duration: 20m

Water Pumps 2:49PM CAM1162 Duration: 20m

Events

Parking Lot 1 2:49PM CAM1162 Duration: 20m

Water Pumps 2:49PM

CAM1162 Duration: 20m

Status Changed: Active Ticket

By: System Jul 12, 2:49PM

New User Linked: Abdullah Khan

By: Zainab Rasheed Jul 12, 2:49PM

Resolution Assigned: Zainab Rasheed Bin Ghaffar

By: Muhammad Ali Jul 12, 2:49PM

Me: Message of the user who is being replied to…

Abdullah AI-Qahtani

6:40pm, 12/12/2025

Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Faisal Al-Harbi 6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Me 6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Resolution Assigned: Zainab Rasheed

Faisal Al-Harbi 6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Add Employee Feature:

The add employee button (+ icon) enables managers to link additional users to the ticket, allowing them to assign or involve more team members in resolving the violation and granting them access to view and comment on the ticket.

Linked Users:

Faisal Al-Harbi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Replying to

Violations

Loading Dock

2:49PM CAM1162 Duration: 20m

Water Pumps 2:49PM CAM1162 Duration: 20m

Me: Message of the user who is being replied to…

Huda Al-Qahtani Basement supervisor Assigned

Fahad Plant Owner

Add Employee

Search by name ◯ Name ID

Devon Lane Devon096 Guy Hawkins Guy017

Eleanor Pena Eleanor056 ) Kristin Watson Kristin023

Jacob Jones Jacob234 Albert Flores Albert098

Courtney Henry Courtney556

Cody Fisher Cody018 □

anged: Active Ticket Jul 12, 2:49PM

Linked: Saud AI-Mutairi Pahtani Jul 12, 2:49PM

ᄀ Assigned: Huda AI-Qahtani Jul 12, 2:49PM

Saud Al-Mutairi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Me

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Saud Al-Mutairi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Resolution Assigned: Huda AI-Qahtani

Faisal Al-Harbi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Add Comment

Events:

Shows a chronological timeline of all activities and status changes related to the ticket, including status updates (Active Ticket, Resolved), new user assignments, resolution assignments, and systemgenerated events with timestamps for complete audit trail and tracking purposes.

Dashboard Violations Tickets Cameras

Ткт9101 AL SEEB STP …

• Active

12 Jul, 2024, 2:49PM Ticket Time: 1h 52m 32s Total Violations Duration: 20m

Linked Users:

Zainab Rasheed Basement supervisor

M Ali Plant Owner

Violations

Faisal Al-Harbi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Replying to

Me: Message of the user who is being replied to…

Saud Al-Mutairi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Me

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Saud Al-Mutairi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Resolution Assigned: Huda AI-Qahtani

Faisal Al-Harbi

6:40pm, 12/12/2025 Hi! What do you want to learn today? Let me know your interests, and I’ll find the best courses for you!

Water Pumps

Water Pumps

2:49PM

Duration: 20m

Water Pumps

CAM1162

162

Loading Dock 2:49PM

Duration: 20m CAM1162 CAM1162 m

T

L

New User Linked: Saud AI-Mutairi

By: Huda Al-Qahtani Jul 12, 2:49PM

Resolution Assigned: Huda AI-Qahtani

By: Fahad Jul 12, 2:49PM

##

By: System

Events Status Changed: Active Ticket By: System

• Byrst ◯

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T.

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Comment Box:

The comment section on the right side provides a real-time chat interface where all linked users can communicate, share updates, ask questions, upload attachments/evidence, and collaborate on resolving the ticket through threaded conversations with timestamps.

Users

Manager

Tickets

Assign / Unassign

View & Delete

Assigned Employee

Tickets

Unassigned Employee

Resolve

Tickets

View

Approve Acknowledge

Acknowledged (By Assigned User):

Assigned personnel confirm receipt of the violation ticket and begins investigation or corrective action.

Zainab Rasheed Basement supervisor Assigned

M Ali Plant Owner

Resolved Ticket (By Assigned User):

Assigned personnel marks the violation as resolved after implementing corrective measures and documenting actions taken.

Assigned

M Ali Plant Owner

Resolution Approval (By Manager/Admin):

Approval from qualified personnel (typically a safety manager or supervisor) is required before permanent ticket closure/resolution. Reviewers can examine the resolution details and either approve the closure or return the ticket for additional action if the resolution is deemed insufficient.

Violation Detailed Preview:

A comprehensive view of a specific violation opens when clicked from the list. The violation preview section displays: Camera ID - Identifies which camera captured the violation Unit - Shows the specific site unit where the violation occurred Time of Occurrence - Records the exact date and time when the violation was detected Duration of Violation - Indicates how long the violation lasted

Preview - Under review

Sites Management

Sites Page:

The Sites page displays a comprehensive list of all registered sites and their associated units where HSE monitoring is active. Each site entry shows key information including site name, complete address, number of units, total staff count, contact phone number, and the date when the site was added to the system. Sites can be expanded to view individual units within them, with each unit displaying its own staff count, contact number, and registration timestamp for detailed organizational hierarchy and management.

Site Details:

The Site Details page provides a comprehensive overview of an individual site including essential information such as site name, city, phone number, and address with an edit option available. Each unit within the site displays its assigned personnel with role indicators (supervisors marked with crown icons) and default-assigned staff clearly labeled. Below the staff roster, a Linked Cameras section shows all monitoring cameras connected to each unit by their unique IDs (e.g., CAM1163). This layout enables administrators to efficiently manage staff assignments and track camera coverage across all units within the site.

Units

Linked Cameras

Unit 1 Unit 1 Unit 1

Unit:

The unit interface shows assigned personnel with roles and notification preferences. A profile icon appears in front of manager names (e.g., Devon Lane - PPE Supervisor), distinguishing them from regular employees. The “Add User” button is visible only to managers for adding team members, while employees see view-only access. Unit linked cameras are shown at the bottom, displaying all cameras monitoring that specific area.

Devon Lane PPE Supervisor

Muhammad Zahoor Bin Muham…

Site Operator

Eleanor Pena

HSE Officer

Linked Cameras

Notifications configuration:

Users click the bell icon next to their profile to open notification options (WhatsApp, email, or emergency call). After selecting a preference, a ringing indicator confirms activation, and violation alerts are delivered through the chosen channel. The emergency call option triggers instant voice calls via BEAH for critical incidents.

Assembly Unit

Devon Lane PPE Supervisor

Muhammad Zahoor Bin Muham…

Site Operator

Eleanor Pena

HSE Officer

Kristin Watson PPE Inspector

Linked Cameras

Users Management:

The Users Management page provides a centralized hub for managing all system personnel, categorized into Managers and Employees tabs. Administrators can search users by name and filter by sites, units, or departments. Each user entry displays their profile picture, name, assigned site and unit, phone number, job designation, department, and registration date. The action bar includes options to manage departments, download templates, import bulk user data, and invite new users for efficient personnel administration.

Roles:

Only admin can create departments and invite managers

Employee Details:

The Employee Details page displays comprehensive information about an individual employee in a clean, organized layout. The page shows the employee’s profile picture at the top, followed by key details including their full name, city, contact phone number, and complete address.

Additional information includes their assigned site location and specific units they are associated with. An Edit button in the top-right corner allows administrators to modify employee information as needed.

Name Salman Niazi

Site Lahore - Plant 1

Designation Site Engineer

Units Unit 2, Unit 4, Unit 5

Phone.no (302) 555-0107

City Muskat

Department Production Production Production Promation

Date of Joining 12/10/2024

DASHBOARD

The dashboard provides comprehensive real-time safety monitoring through four interactive visualizations panels, enabling managers to track violations across sites, analyze trends over time, assess incident criticality, and monitor resolution status.

◯ Vest Mask 24 ◯ Helmet 15 ◯ Goggles ◯ Gloves 7 ◯ Boots

VIOLATIONS OVER TIME

VIOLATIONS CRITICALITY

1. Site Violations Chart

This panel displays up to four site pie charts simultaneously, showing total violation counts for each location. Each pie chart breaks down violations by type (Vest, Mask, Helmet, Goggles, Gloves, Boots) with color-coded segments. Users can filter data by selecting custom date ranges to analyze violations during specific time periods. The center of each pie chart displays the total violation count for that site, enabling quick comparison across multiple facilities.

Features:

• View up to 4 sites simultaneously
• Date range selection for historical analysis
• Total violation counts per site
• Color-coded violation type breakdown

2. Violations Over Time

This stacked bar chart visualizes violation trends across different time periods. Users select a single site and choose the time aggregation view-Quarterly, Monthly, Weekly, or Daily. Each bar represents a time period with color-coded segments showing different violation types, enabling trend identification and pattern recognition. The chart helps identify peak violation days, recurring issues, and the effectiveness of safety interventions over time.

Features:

• Single site selection with dropdown
• Time period filters: Quarterly, Monthly, Weekly, Daily
• Stacked bars showing violation type distribution
• Trend analysis for proactive safety management

3. Violations Criticality (Live)

This scatter plot displays real-time violation criticality based on duration and time. The X -axis represents time (elapsed since detection), while the Y-axis shows violation duration. Each dot represents an individual violation, color-coded by severity: Yellow (Low), Orange (Medium), and Red (High). Hovering over any dot reveals the ticket ID and violation type icon. The “Live” indicator shows actively occurring violations, and violations move upward and rightward as time and duration increase. A Fullscreen view option enables detailed analysis of critical incidents requiring immediate attention.

Features:

• Real-time scatter plot with live updates
• Color-coded severity levels (Low, Medium, High)
• Hover to view ticket ID and violation icon
• X-axis: Time elapsed | Y-axis: Violation duration
• Fullscreen mode for detailed monitoring
• Live indicator for ongoing violations

4. Violations Status

This grouped bar chart displays violation resolution status across up to three selected sites. Each site shows three bars representing different status categories: Unassigned (red), Under Review (orange), and Resolved (green). Users can select a specific date to view status distribution for that day. The chart provides clear visibility into ticket workflows, helping managers identify bottlenecks in the resolution process and ensure timely incident closure.

Features:

• Compare up to 3 sites simultaneously (+2 selector)
• Date filter for historical status tracking
• Three status categories: Unassigned, Under Review, Resolved
• Color-coded bars for quick status identification
• Hover tooltips showing exact violation counts per status

Export:

By clicking the “Export” button, you can export dashboard reports to PDF, Excel, CSV, and other formats for management review and compliance documentation.

Recent Activities:

Quick access panel showing the latest system activities including new violations detected, actions taken on violations (acknowledged, resolved, approved), employee assignments, user additions, ticket updates, and other system events for rapid incident awareness.

LIVE CAMERA VIEW

The Cameras tab provides comprehensive camera configuration, live monitoring, and violation detection management across all sites and units.

Camera List & Live Preview

The left panel displays all registered cameras organized by location, showing:

• Camera Name - Custom identifier (Loading docks, Parking lot, Water pumps, etc.)
• Camera ID - Unique identifier (141312)
• Location - Site and Unit assignment (Al Seeb | Unit 1)
• Status - Active (green) or Inactive (orange) indicator

Users can filter cameras by Site and Unit using dropdown selectors at the top. The Add Camera button enables registration of new surveillance devices.

Live Preview Grid: Clicking on any camera opens a multi-view live feed display showing real-time camera streams with AI-powered violation detection overlays. Workers and safety equipment are highlighted with colored bounding boxes indicating detected violations. Each preview shows the camera name and location for quick identification.

Edit Camera Configuration

Clicking on a camera opens the comprehensive configuration panel with the following settings:

Dashboard Violations Tickets Cameras

← Edit Camera 141312

Connection Type

• NVR

O Direct Connection

Camera Name

Type

RTSP Address Type

Username Type

Password

Type

Linked Site

Select Select

Modules

Vest ◯

Connection Settings:

• Connection Type - NVR (Network Video Recorder) or Direct Connection
• Camera Name - Custom identifier for the camera
• RTSP Address - Stream URL for video feed access
• Username/Password - Authentication credentials for secure camera access

Linked Site Assignment:

• Site - Dropdown to assign camera to specific facility location
• Unit - Dropdown to assign camera to operational zone within the site

System Architecture

High-level Architecture

Following is the end-to-end system architecture from edge to cloud. Smart surveillance cameras at site deployments connect through PoE switches and NVRs, with Fortinet firewalls (optional) providing security. Video feeds are processed by the AI Processing Server running specialized detection modules (PPE compliance, fire/smoke detection, vehicle monitoring, etc.), while the Web Application Server hosts the centralized dashboard. Users access the system through web browsers, mobile apps, or API integrations, with all components communicating through secure VPN tunnels.

Data Processing Flow

Raw camera feeds undergo frame capture, image preprocessing, and feature extraction before entering the AI Analysis layer, where the AI Model Inference engine performs object detection, event recognition, and anomaly detection, with a Business Rule Engine applying configurable logic to determine violation severity. Post-processing modules generate prioritized alerts, enrich metadata with contextual information, and store indexed data for retrieval. Finally, the system delivers insights through multiple user interfaces including real-time violations view, dashboard updates, analytics dashboards, notification dispatch, search APIs, and live camera feeds, enabling comprehensive monitoring and rapid incident response.

System Deployment Flow

Following flowchart maps the complete project implementation lifecycle from kickoff to handover. The process begins with infrastructure setup (site assessment, camera installation, network configuration), proceeds through central system setup (database, Al model deployment, web application), followed by the configuration phase (camera registration, detection modules, user accounts). The deployment includes comprehensive testing (system, violation detection, integration), then rolls out in three phased modules: core safety features, environmental monitoring, and operational efficiency enhancements. The process concludes with training for administrators and end-users, documentation handover, and transition to ongoing support.

Database Architecture:

The top-level entity-relationship diagram depicts the relational database schema powering the HSE violation management system. The central Ticket entity aggregates violation incidents and connects to operational Units and Sites to keep track of physical locations, while the TicketAssignee junction table enables many-to-many relationships between tickets and users who can perform role-based actions (Manager, Admin, Assigned Employee). Each ticket has a dedicated Chat with ChatParticipants and ChatMessages for real-time collaboration, while individual Violation records store granular evidence including timestamps, duration, and file paths. The User entity maintains authentication credentials and site assignments, creating a fully normalized schema that supports multi-site operations, audit trails, and scalable incident tracking across the entire organization.

Site → Unit → Ticket → Violations:

Site Entity

• Top-level facility identification
• Supports multi-location deployments
• Enables organization-wide analytics

Unit Entity

• Fields: id, name, site_id, default_assignee_id
• Relationships: Site (1:N), User (default assignee), Ticket (1:N)

Represents operational zones (pump stations, control rooms, production areas) with pre-configured responsible personnel for automatic ticket routing.

Ticket Entity

• Fields: id, violation_type, violation_count, unit_id, status
• Relationships: Unit (N:1), Violation (1:N), User (M:N via TicketAssignee)

Central incident record that aggregates multiple violation events, links to specific operational units, and coordinates multi-user response workflows with status tracking (active, resolved, escalated).

Violations Entity

• Fields: id, ticket_id, start_time, end_time, evidence_path, type
• Relationships: Ticket (N:1)

Granular violation records containing precise timestamps for duration calculation, evidence paths for visual proof, and violation classification. Multiple violation instances can be linked to a single ticket for comprehensive incident documentation.

Hierarchical Benefits:

• Site-wide safety dashboards
• Unit-specific KPI tracking
• Automated escalation based on location
• Distributed responsibility management
• Complete incident traceability from site level to individual violation events
• Evidence-linked compliance documentation

User & Assignment Model

User Entity

• Fields: id, name, email, password, role, site_id
• Roles: Manager, Admin, Employee (enum-based access control)
• TicketAssignee Junction Table
• Fields: user_id, ticket_id
• Relationship: Many-to-many (multiple users per ticket, multiple tickets per user)

Advanced Assignment Features:

• Role-based automatic routing (critical violations → managers)
• Multi-assignee collaboration on complex incidents
• Default assignee configuration at unit level
• Assignment history tracking for accountability

Integrated Communication System

Chat → Participant → Message Architecture:

• Chat Entity: Incident-specific conversation threads
• Fields: id, name, ticket_id, created_at
• Linking: One ticket → One dedicated chat
• ChatParticipant Entity: Session membership tracking
• Fields: id, chat_id, user_id, joined_at
• Purpose: Controls conversation access and audit participation
• ChatMessage Entity: Full conversation history
• Fields: id, chat_id, sender_id, message, sent_at
• Purpose: Timestamped message log for compliance documentation

Communication Benefits:

• Real-time incident collaboration
• Contextual conversation linked to evidence
• Complete audit trail for regulatory compliance
• Cross-functional team coordination

Security Architecture:

Data Protection:

• Encrypted connections (TLS 1.3) for all database traffic
• Encrypted storage for sensitive fields (passwords, evidence)
• Row-level security for multi-tenant isolation
• SQL injection prevention through parameterized queries

Access Control:

• Role-based access control (RBAC) enforced at database and application layers
• Site-based data segmentation
• Audit logging of all data access
• Session management with timeout policies

AI/Computer Vision Performance

Performance evaluation centers on four non-negotiable criteria:

• Accuracy: Can it correctly identify violations? (Target: $\geq 90 \% \mathrm{mAP}$ )
• Completeness: Does it catch every hazard? (Target: $\geq 90 \%$ recall)
• Reliability: Are alerts trustworthy? (Target: <2 false positives/hour)
• Speed: Can it respond in real-time? (Target: <1.5 seconds latency)

Key Performance Metrics:

1. Detection Accuracy (mAP - mean Average Precision)

Mean Average Precision (mAP) measures the overall detection accuracy across all safety violation categories, combining both precision and recall performance.

Technical Measurement:

• mAP50: Detection accuracy at 50% overlap threshold between predicted and actual object boundaries
• mAP50-95: Average accuracy across multiple overlap thresholds from 50% to 95%, providing comprehensive accuracy assessment

The system achieves optimal performance through continuous training, with metrics demonstrating consistent improvement and convergence over training epochs.

These graphs show model training over 200+ epochs with decreasing losses and strong performance metrics: precision $\sim 85 \%$, recall $\sim 80 \%$, mAP50 82-84%.

Performance Analysis:

• Loss functions (box, classification, DFL) show consistent reduction indicating effective learning
• Precision stabilizes at approximately $85 \%$
• Recall reaches approximately $80 \%$
• mAP50 achieves 82-84% accuracy
• Smooth convergence demonstrates stable model training

Disclaimer: Performance metrics shown are based on validation testing done on 8 cameras BEAH PoC. Actual field performance may vary based on environmental conditions, lighting, camera angles, and site-specific factors. The system will undergo calibration during deployment for optimal accuracy.

2. Recall Rate for Safety Detection

Recall measures the system’s ability to detect actual safety violations, ensuring minimal missed incidents.

Formula:

• Recall = True Positives / (True Positives + False Negatives)
• Understanding the Terminology:
• True Positive (TP): System correctly identifies a safety violation
• Example: Worker without helmet → System detects “Helmet Violation” ✓
• False Negative (FN): System fails to detect an actual violation
• Example: Worker without helmet → System misses detection X
• Practical Example - Vest Violation Detection:
• Testing conducted on 101 cases demonstrated, during 8 cameras PoC at BEAH:
• True Positives (TP): 68 - Violations correctly identified
• False Negatives (FN): 6 - Violations missed by the system
• Calculated Recall: $91.8 \%(68 \div(68+6))$

High recall rates are critical for safety applications where missing a violation could result in worker injury.

3. Precision and False Positive Management

Precision measures how many of the system’s alerts are actually correct violations, directly impacting operational trust and alert credibility. Formula:

• Precision $=$ True Positives $/$ (True Positives + False Positives)
• Understanding False Positives:
• False Positive (FP): System incorrectly flags a violation when none exists
• Example: Worker wearing helmet → System wrongly detects “Helmet Violation” X
• True Negative (TN): System correctly identifies compliant behavior
• Example: Worker wearing helmet → System shows “Compliant” ✓
• Example Performance: In the vest violation testing:
• True Positives: 68
• False Positives: 1
• Precision: $98 \%(68 \div 69)$
• Impact of False Positives: Excessive false alarms lead to:
• Alert fatigue among operators
• Reduced trust in the system
• Delayed response to genuine violations
• Increased operational overhead

4. System Response Latency

Latency is the time delay between when a violation occurs and when the system generates an alert. Low latency is essential for real-time safety intervention.

Formula:

Latency $=$ Alert Generation Time - Event Detection Time

Current System Performance:

• Average Response Latency: 0.015 seconds
• This latency was derived while running the system on 8 cameras PoC at BEAH. Latency numbers may vary depending upon the number

Frame latency: 0.017 seconds
Frame latency: 0.015 seconds
Frame latency: 0.017 seconds
Frame latency: 0.013 seconds
Frame latency: 0.014 seconds
Frame latency: 0.016 seconds

cameras being processed.

Importance of Low Latency:

• Enables immediate supervisor notification
• Allows timely intervention before accidents occur
• Supports real-time dashboard monitoring
• Facilitates quick emergency response
• Provides accurate incident timestamps for investigation
• Factors Affecting Latency:
• Processing power of edge devices
• Network bandwidth and connectivity
• Model inference time
• Alert transmission mechanisms
• System load and concurrent detections

Performance Validation:

The AI/Computer Vision system performance is validated through:

Training Phase:

• Continuous monitoring of loss functions
• Tracking precision and recall improvements
• Validation on separate test datasets
• Convergence analysis ensuring stable learning

Testing Phase:

• Real-world scenario testing across all violation types
• Environmental condition variations (lighting, weather, angles)
• Multi-camera concurrent detection
• Long-duration operational testing

Operational Metrics:

• Detection accuracy across different times of day
• Performance under varying worker densities
• Reliability during adverse weather conditions
• Scalability with additional camera feeds

The combination of high accuracy, strong recall, minimal false positives, and low latency ensures the AI/Computer Vision system delivers reliable, real-time safety monitoring for workplace environments.

The video snippet of 8 cameras PoC, on which the above-mentioned analysis is done, can be seen on following google drive link:

https://drive.google.com/drive/folders/1WC_av8RHyry8c5UxQtzF D7ozDOgEJaDQ?usp=sharing

GenAI Features

Automated Incident Summaries:

The system generates AI-powered incident summaries automatically for each violation ticket, providing concise, human-readable reports that include violation type, duration, location, assigned personnel, and key events. These summaries enable quick incident review without manually analyzing raw data, timestamps, and evidence files.

Key Features:

• Automatic generation upon ticket creation or closure
• Context-aware summaries highlighting critical information
• Timeline reconstruction of incident progression

Natural Language (NL) Queries:

Users can interact with the system using conversational queries in plain English, eliminating the need for complex filters or SQL knowledge. The AI understands natural language questions and retrieves relevant data from the database. Similar conversational interactions are also available on WhatsApp or mobile Application, enabling users to query violation data and receive incident updates directly through their mobile devices. *All GenAI features will be fully available 6 weeks after the product is fully deployed. This 6 weeks period will be used to gather requirements and use cases for the client and only then GenAl will become active. **Arabic language version can also be deployed, once all requirements have been registered

Example Queries:

“How many helmet violations occurred at Seeb STP last week?” “Show me all unresolved tickets assigned to Saud Al-Mansour”

Benefits:

• Intuitive data access for non-technical users
• Faster insights without training on query syntax
• Context-aware responses with relevant visualizations
• Reduces dependency on technical staff for data retrieval

Following email conversation shows the interaction between user and the system, in natural language:

Re: New Helmet Violation Ticket Generated

Nama Alert < alert@nama.com > Tue, 14 Oct 2025 1:12:26 AM +0500

“Saud Al-Mansour”saud.mansour@nama.com

Greetings! This is an automated update regarding HSE Violation Ticket - TKT1041 .

Recent Activity:

• Mr. Saud acknowledged the ticket 15 minutes ago.
• – New chat messages received:

1. Mr. Saud (10:55): “Please ensure helmets are available on the floor.”
2. Miss Huda (11:08): “Yes, just sent 5 more.”

Please click here to open the ticket page for full details.

This is an automated system-generated email. For any concerns or queries, please reply to this mail.

On Tue, 14 Oct 2025 01:08:58 +0500 Saud Al-Mansour <saud.mansour@nama.com > wrote —

Thanks Can you please let me know if the assigned person has acknowledged this ticket and if there are any messages in ticket chat?

Saud AI-Mansour HSE Manager Nama Water Services

Greetings! A new HSE violation ticket has been generated. Please find the details below for your attention:

Please click here to view the ticket page and acknowledge.

This is an automated system-generated email. For any concerns or queries, please reply to this mail.

PROJECT IMPLENTATION/DELIVERY TIMELINE

System Integration

The system can integrate with multiple enterprise ticketing platforms (e.g. Intelex) and HSE management systems via RESTful APIs, automating violation reporting, ticket generation, and real-time data exchange across safety infrastructure.

Integration Capabilities:

1. Ticketing System Integration

Automated violation-to-ticket conversion with structured data payload:

Key Fields:

• Unique ticket ID and timestamps
• Violation type, count, and duration tracking
• Evidence path for image/video proof
• Site/unit location identification
• Multi-level assignee structure with rolebased routing
• Real-time status tracking

2. HSE System Integration

• Automatic incident logging to HSE databases
• Real-time violation statistics and trend analysis
• Compliance reporting with timestamped evidence
• Audit trail maintenance for regulatory inspections

3. API Architecture

• RESTful API Endpoints:
• POST/api/violations - Create new violation ticket
• GET /api/violations/{id} - Retrieve ticket details
• PATCH /api/violations/{id} - Update ticket status
• POST /api/assignees - Assign personnel to tickets

Integration Features:

• JSON data format for universal compatibility
• Webhook support for real-time event notifications
• Bidirectional data synchronization
• OAuth 2.0 and API key authentication
• Rate limiting and request throttling

4. Data Synchronization

• Real-time violation alerts pushed to ticketing systems
• Status updates synchronized across platforms
• User directory integration for automatic assignee lookup
• Location mapping with facility management systems

5. Proof of Concept Testing

• API-based integration tested with sandbox environments
• Full API documentation provided
• Sample data flow demonstrations
• Performance benchmarking under load conditions

The system provides full API-based integration enabling automated incident management, real-time data exchange, and seamless workflow with existing enterprise safety infrastructure.

Security & Privacy

Overview:

This section evaluates the implementation of comprehensive security measures and privacy controls to protect sensitive data, ensure secure communications, and safeguard worker privacy while maintaining compliance with data protection regulations.

Key Requirements:

1. Data Transmission Security:

• Implementation of TLS (Transport Layer Security) protocols for all data transmitted between edge devices, central managers, and cloud infrastructure
• End-to-end encryption for video streams and metadata to prevent unauthorized interception
• Secure API communications with certificate-based authentication

2. Data at Rest Encryption:

• AES-256 encryption or equivalent for all stored data including video recordings, incident logs, and analytics data
• Encrypted databases for storing worker information, incident reports, and system configurations
• Secure key management systems with regular key rotation policies

3. Security Information and Event Management (SIEM):

• Integration with SIEM systems for comprehensive security monitoring and threat detection
• Real-time logging of all system access, configuration changes, and security events
• Automated alerts for suspicious activities, unauthorized access attempts, and system anomalies
• Audit trails maintaining complete records of user activities for compliance and forensic analysis

1. Personally Identifiable Information (PII) Protection:

• Automatic face blurring/masking capabilities to protect worker identities in recorded footage (optional)
• Role-based access controls ensuring only authorized personnel can view identifiable information
• Compliance with data protection regulations (local privacy laws)
• Configurable privacy zones where monitoring can be disabled or restricted

5. Access Control & Authentication:

• Multi-factor authentication (MFA) for system access
• Role-based permissions limiting access based on user responsibilities
• Session management with automatic timeout policies
• Regular user access reviews and audit logs

Training & Handover

Training Program:

• Comprehensive training for system administrators, operators, and end users
• Modules: system architecture, dashboard navigation, alert management, incident reporting, data analytics, AI event interpretation
• Hands-on practical sessions with live system access
• 5-10 BEAH employees will be provided a 1 week comprehensive training

Training Materials:

• User manuals and quick reference guides
• Video tutorials for step-by-step guidance
• Completion certificates issued to all participants
• Includes hands-on labs, system administration, and incident response procedures

Handover Package:

• Complete configuration records and system documentation
• User credentials and access protocols
• Maintenance procedures and troubleshooting guides
• Full operational independence transfer to client team

References & POC

AFAQY successfully executed a Proof of Concept (POC) deployment for NAMA Water Services at the AI Ansab Sewerage Treatment Plant (STP) in Muscat, Oman. The POC involved the installation of Eight (8) AI-enabled CCTV cameras equipped with edge-based AI analysis to monitor critical Health, Safety, and Environment (HSE) indicators in real time within the tanker discharge zone, a high-risk operational area. The system demonstrated advanced capabilities in detecting PPE compliance, unauthorized zone entry, and unsafe acts such as mobile usage, smoking, and slips or falls.

The AI-powered platform provided a centralized dashboard for live monitoring, event logging, and automated alert generation, ensuring immediate visibility and faster decision-making for supervisors. The POC was successfully demonstrated to the client, showcasing the operational effectiveness, system scalability, and real-time analytics of the AFAQY SAFER AI HSE Platform.

Following this demonstration, NAMA Water Services invited AFAQY to participate in this tender, a testament to the platform’s performance, reliability, and alignment with the client’s long-term digital safety vision.

SaaS SLA (Service Lease Agreement)

عمانـت/ Omantel

CLNNNOHM ΔLNAHDHA

Project Reference

We have always tried our best hands at satisfying our clients with our work. Below are some references regarding the completion of relevant projects.

Hardware SLA

Severity level is a code provided to Incidents, Problems and Changes, indicating their underlying technical complexity and their impact on technical resources & Business processes. Used in conjunction with Business Impact and Business Urgency, it is one of the factors for allocating IT priorities. At Tamkeen Severity levels are defined as below: High: It is termed as complete outage or unavailability of service. IT infrastructure / Network related issues due to which customers can’t continue to work or related to revenue loss. Continued attention & support is required till the problem resolution.

Normal: An outage which is not directly impacting on the overall services or business processes while does have minimal impact. The same needs to be addressed as priority as extended outage can lead to loss of data or revenue.

Low: Minor issues, routine Q&A, scheduled maintenance and support consulting which do not affect work at all rather an inconvenience or scheduled task which needs attention.

AFAQY Helpdesk & Technical team in consultation with customers shall identify the criticality / severity of issue reported to expedite the onsite response time.

HARDWARE SPECS

AFAQY’s AI-HSE Monitoring System is built on a robust hardware foundation designed for reliability, scalability, and seamless integration with existing infrastructure. The deployment utilizes industrialgrade PoE cameras, AI edge processing units, and secure network components engineered to operate efficiently in demanding environmental conditions. Each device is selected to ensure high-resolution video capture, low latency data transmission, and optimized performance for real-time AI analytics. The hardware setup is fully compliant with international standards for safety and interoperability, ensuring long-term operational stability and ease of maintenance.

Technical Specifications

• Hardware specifications provided as reference. AFAQY can accommodate alternative brands (Dahua, Axis, etc.) based on BEAH preferences while maintaining equivalent performance standards.

• Hikvision 4MP DeepinView ANPR Moto Varifocal Bullet Camera
• High quality imaging with 4 MP resolution
• Excellent low-light performance via Dark Fighter technology
• Clear imaging against strong back light due to 140 dB WDR technology
• License Plate Recognition
• Efficient H.265+ compression technology to save bandwidth and storage
• 5 streams to meet a wide variety of applications
• Water and dust resistant (IP67) and vandal proof (IK10)

• Planet Industrial 16-Port 10/100/1000T 802.3at PoE + 2-Port 10/100/1000T + 2Port 100/1000X SFP Managed Ethernet Switch
• Power over Ethernet: -
• Complies with IEEE 802.3at Power over Ethernet Plus, end-span PSE
• Backward compatible with IEEE 802.3af Power over Ethernet
• Up to 16 ports of IEEE 802.3af/802.3at devices powered
• 320-watt PoE budget
• Supports PoE power up to 36 watts for each PoE port
• Auto detects powered device (PD)
• Circuit protection prevents power interference between ports
• Remote power feeding up to 100 meters in standard mode and 250 m in extended mode.
• Switching: -
• Hardware-based 10 / 100 \mathrm{Mbps} (half/full duplex), 1000 Mbps (full duplex), autonegotiation and auto MDI/MDI-X
• IEEE 802.3x flow control for full duplex operation and back pressure for half duplex operation
• 8K MAC address table size
• 10K jumbo frame
• Automatic address learning and address aging
• Management: -
• IPv4 and IPv6 dual stack management
• Switch Management Interface
• SNMP Management
• User privilege levels control
• Built-in Trivial File Transfer Protocol (TFTP) client
• Static and DHCP for IP address assignment
• System Maintenance
• Link Layer Discovery Protocol (LLDP) Protocol and LLDP-MED
• Event message logging to remote syslog server
• PLANET Smart Discovery Utility for deployment management
• PLANET NMS system and Cloud Viewer/Cloud Viewer Pro for deployment management
• SNTP Network Time Protocol
• Network Diagnostic
• Planet SFP Modules
• MGB-TLX (SFP-Port 1000BASE-LX mini-GBIC module - 20 \mathrm{~km}(-40 \sim 85 \mathrm{C})
• Key Features: -
• Comply with the IEEE 802.3ab/802.3z Gigabit Ethernet standard
• One 1000 Mbps TP/LC fiber port
• Duplex/Single LC connector
• Differential PECL inputs and outputs
• Single power supply 3.3 V
• TTL signal detection indicator

• Ai Edge Server for 60 Cameras
• PowerEdge R7715
• Chassis Configuration Chassis with up to 16 E3.S NVMe Drives, Single Front PERC13
• Processor AMD EPYC 9655P 2.60 \mathrm{GHz}, 96 \mathrm{C} / 192 \mathrm{~T}, 384 Cache ( 400 W ) DDR5-6400
• Processor Thermal Configuration Heatsink for GPU Configuration (CPU greater than 240W)
• Memory Configuration Type Performance Optimized
• Memory DIMM Type and Speed 6400 \mathrm{MT} / \mathrm{s} RDIMMs
• Memory Capacity 32 GB RDIMM, 6400 \mathrm{MT} / \mathrm{s}, Dual Rank
• RAID Configuration C31, No RAID with NVMe and front PERC
• RAID/Internal Storage Controllers PERC H975i Controller, Front
• Hard Drives No Hard Drive

Network Architecture:

• Site-to-Datacenter Connectivity:
• L2PPTP Connection - Layer 2 Point-to-Point Tunneling Protocol to BEAH NETWORK
• BEAH Onsite Firewall - First security layer at site level
• VPN Tunneling - Secure encrypted connection over public internet
• BEAH Data Center Firewall - Second security layer at datacenter
• BEAH Main Data Center - Centralized server infrastructure with redundancy
• Security Layers:
• Dual firewall protection (onsite + datacenter)
• Encrypted VPN tunneling for data transmission
• Segregated network zones for enhanced security
• Access control and authentication at multiple levels

Conclusion:

AFAQY’s S.A.F.E.R. AI HSE Platform represents more than an advanced technology solution, it is a proven, production-ready system already validated within BEAH’s operational environment. Unlike theoretical proposals, our platform has been tested, refined, and endorsed through successful POC deployment at Al Ansab STP, demonstrating measurable safety improvements, reliable performance, and seamless integration with BEAH’s infrastructure. This tender submission is not a promise of future capabilities; it is an evidence-based proposal backed by real-world operational results within your facilities. Our comprehensive approach combines cutting-edge AI technology with practical operational design: edge-based processing ensures real-time response without cloud dependency, multilingual interfaces support your diverse workforce, role-based workflows align with BEAH’s organizational structure, and full data sovereignty compliance protects sensitive operational information within Oman’s borders. The proposed architecture scales effortlessly from 4 initial sites to 50+ facilities across BEAH’s network, futureproofing your investment while maintaining consistent performance and reliability. AFAQY is uniquely positioned as both a technology innovator and a trusted implementation partner who understands the specific challenges of water and wastewater operations. Our 14-week deployment timeline, comprehensive training programs, robust SLA commitments, and transparent technical documentation reflect our commitment to delivering not just a system, but a long-term partnership in advancing workplace safety across BEAH’s operations. We are ready to transform HSE monitoring from reactive incident response to proactive risk prevention, protecting your valuable asset, your people. We look forward to partnering with BEAH Waste Services to set a new standard for AI-powered workplace safety in Oman’s critical infrastructure sector.