AI Video Intelligence for Dubai Smart Cities & UAE Retail
Real-time CCTV analysis for Dubai and the UAE. YOLOv8-powered theft detection, zone monitoring, and behavior analysis. Open source, edge-ready.
Powerful Detection Capabilities
Six core modules powered by YOLOv8 and ByteTrack for comprehensive video intelligence.
Person Detection & Counting
Accurately detect and count people in real-time using YOLOv8. Monitor foot traffic, occupancy, and crowd density across zones.
Theft Detection
AI-driven theft detection identifies suspicious behaviors and missing items. Instant alerts to security personnel.
Zone Monitoring
Define custom zones and get real-time counts of people entering, exiting, or loitering in restricted areas.
Behavior Analysis
Pose estimation and action recognition to detect unusual behaviors like fighting, falling, or running.
Face Detection
Detect and recognize faces in video streams. Enable access control and person identification workflows.
Edge Deployment
Export models to ONNX for running on edge devices. Low-latency inference without GPU dependency.
Built for Real-World Security
Deploy Rasd across industries to automate surveillance and improve response times.
Retail Security (Dubai Malls)
Prevent shoplifting, monitor store layouts, and optimize product placement in Dubai malls and UAE retail outlets.
Smart Cities (Dubai & Abu Dhabi)
Manage traffic flow, monitor public spaces, and enhance urban safety across Dubai and Abu Dhabi with AI-powered surveillance.
Public Safety (UAE Events)
Detect crowd disturbances, unattended bags, and emergency situations at UAE exhibitions, events, and public venues.
Building Security (UAE Offices)
Control access, detect intruders, and monitor restricted areas in Dubai office complexes, free zones, and facilities.
How It Works
From camera feed to actionable insights in four steps.
Connect Camera
Feed RTSP streams, MP4 files, or any video source into Rasd.
AI Analyzes
YOLOv8 processes each frame for real-time object detection and tracking.
Detect & Alert
Get instant alerts for theft, zone violations, unusual behavior, and more.
Dashboard & Reports
Review analytics, export reports, and monitor activity on a unified dashboard.
Processing Pipeline
A modular architecture from video ingestion to result delivery.
Free & Open Source
Rasd is fully open source under the MIT license. Deploy it yourself at no cost, or get enterprise support for production environments.
Frequently Asked Questions
Everything you need to know about getting started with Rasd.
What video formats does Rasd support?
Yes. Rasd supports RTSP streams, MP4 files, and any video format compatible with OpenCV. It can process live CCTV feeds via RTSP or uploaded video files.
Do I need a GPU to run Rasd?
No. Rasd runs on CPU with YOLOv8n (nano model). For higher accuracy, a GPU with CUDA support is recommended but not required. Rasd also supports edge deployment via ONNX.
Can Rasd integrate with existing CCTV systems in Dubai?
Yes. Rasd connects to any RTSP-compatible CCTV camera. It works with Hikvision, Dahua, Axis, and other brands commonly used in Dubai and UAE buildings.
Is Rasd production-ready for UAE businesses?
Yes. Rasd is MIT licensed, production-ready, and deployed in retail and smart city environments. It includes a web dashboard, API, and database storage.