Real-time vision intelligence
Your cameras already see it.
RASED makes them understand it.
The unified AI video intelligence platform that transforms your existing CCTV infrastructure into real-time operational intelligence. From safety and security to traffic management, industrial monitoring, and customer insights, RASED delivers actionable intelligence as events unfold.
The RASED platform
One platform. Every camera. Every insight.
Thousands of concurrent streams and heavy vision workloads, from one site to a national programme.
Runs on the cameras and infrastructure you already paid for, with edge processing that keeps bandwidth flat.
Open APIs, VMS and IoT integration, and model packs configured to your sector rather than a fixed feature list.
The problem
You already have the footage. You don’t have the answer.
Most organisations have every camera they need. What is missing is a way to act on what those cameras see while it still matters — not the morning after.
Why it happens
Cameras capture everything, but seeing what truly matters is the challenge.
As camera networks grow, monitoring every stream manually becomes impossible. Critical events can easily be missed, while teams spend valuable time reviewing footage after incidents have already occurred. More cameras create more data, but not more visibility.
The solution
The intelligence belongs in real-time video analytics.
RASED transforms existing CCTV infrastructure into an intelligent operational platform. By analyzing live video streams in real time, it detects critical events, operational risks, safety concerns, traffic conditions, and security incidents, then instantly delivers actionable alerts with the exact location, timestamp, and visual evidence.
RASED · DETECTING · 04:23Products
Meet the RASED suite.
Four AI software products on one platform. Deploy one, or run the whole suite on a single camera estate.
What it is
RASED Shield provides intelligent security monitoring across facilities, assets, and critical infrastructure. The platform continuously analyzes live video streams to identify unauthorized access, perimeter violations, suspicious activities, loitering, intrusion attempts, abandoned objects, and other security threats, ensuring security teams focus only on events that require immediate attention.
How it works
Zones and security rules are configured per camera. AI models detect access events and suspicious behaviour in real time, correlate activity across neighbouring views, and route a single prioritized alert to the security team with the location, timestamp, and visual evidence attached.
What it detects
- Perimeter and intrusion
- Restricted zone entry
- Tailgating and access breach
- Loitering and abandoned object
- Crowd density and evacuation
- Fall and man-down
What it is
Turns safety compliance from a periodic inspection into a continuous, evidenced record. Every shift produces its own proof, so an audit becomes a report rather than a reconstruction.
How it works
Permit and equipment rules are set per zone. Every entry and every task is verified as it happens; a breach is routed to the HSE lead within seconds and written to the record with the supporting frame, ready for export.
What it detects
- Protective equipment verification
- Permit-to-work in live zones
- Hazard and exclusion zones
- Machine guarding and interlocks
- Housekeeping and obstruction
- Unsafe act and behaviour
What it is
The movement layer of the platform. It turns roads, gates, corridors, yards and parking facilities into measured processes, giving operators real-time visibility into vehicle movement, queues, parking activity, occupancy and flow.
How it works
Recognition and vehicle analytics models run at entry, corridor, parking and exit points. Journeys are matched across cameras to produce turnaround and dwell times, while vehicle flow, parking activity, occupancy, congestion and violations feed live dashboards and gate systems.
What it detects
- Plate recognition and watchlists
- Vehicle class, colour and direction
- Lane and corridor throughput
- Congestion and queue length
- Gate and yard turnaround time
- Wrong-way and stopped vehicle
- Parking lot monitoring and analytics
- Parking occupancy, dwell and vehicle-flow analytics
What it is
RASED Venue delivers real-time intelligence for public spaces, retail environments, event venues, and campuses. It helps operators understand crowd conditions, visitor movement, occupancy, and queues as they happen.
How it works
Anonymous people-counting, path, and occupancy analytics run across entrances, floor zones, and event areas. Live thresholds can trigger operational alerts when crowd density, queue length, or occupancy conditions require attention.
What it detects
- Crowd density monitoring
- People counting
- Queue management
- Visitor flow analysis
- Occupancy tracking
- Event monitoring
How RASED works
Three steps from camera to action.
Connect
Your live camera streams come in over standard protocols.
Analyse
AI models read every frame, every second, on every stream.
Act
The right person gets the alert in seconds — with the evidence.
Industries
Built for every sector that runs on cameras.
Smart Cities
Oil & Gas
Ports
Airports
Manufacturing
Retail
Utilities
Critical InfrastructureCompany
RASED is built by ESBAAR.
ESBAAR is a leading Omani provider of drone solutions integrated with artificial intelligence (AI) and IoT smart solutions. Founded in 2017, ESBAAR is a trusted commercial drone services and AI solutions provider and a key partner to the Oil & Gas, Utilities, Logistics, Security & Defense, Mining & Infrastructure sectors.
Scalable · Flexible · Proven in the field
Experience AI video intelligence on your existing cameras.
Start with a pilot on one site and scale as the requirement grows. See RASED in action using footage from your own environment. Experience the insights, detections, and operational value the platform delivers before exploring deployment options.
RASED By ESBAAR