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Shark Analytics is an innovative computer vision platform integrated into the Shark LPR ecosystem, transforming road safety and traffic enforcement through AI-powered detection. Equipped with mobile phone usage detection, seat belt compliance monitoring, wrong-way driving alerts, and other advanced safety features, Shark Analytics provides authorities and organizations with real-time data to enhance road security and prevent accidents.

By leveraging deep learning and image recognition, the platform enables automated traffic monitoring, reducing human intervention while improving enforcement efficiency. Its seamless integration with existing surveillance systems ensures a scalable and cost-effective solution for cities, law enforcement agencies, and transportation authority’s seeking to enhance traffic safety and reduce violations.

Shark Analytics is the future of intelligent traffic management, offering precision, automation, and reliability for a safer driving environment.

Key Features

Seat Belt Detection

Seat Belt Detection

Ensures driver and passenger compliance with seat belt regulations, enhancing road safety and reducing accident-related injuries.

Mobile Phone Usage Detection

Mobile Phone Usage Detection

Identifies distracted driving caused by mobile phone usage, helping authorities enforce safer driving habits.

Wrong-Way Driving Detection

Wrong-Way Driving Detection

Instantly detects vehicles moving in the wrong direction, preventing potential accidents and improving traffic management.

Vehicle Speed Detection

Vehicle Speed Detection

Monitors vehicle speed in real-time, allowing enforcement agencies to curb speeding violations and enhance road safety.

Illegal Parking

Illegal Parking

Detects vehicles parked in unauthorized or restricted areas to support enforcement and maintain traffic flow.

Illegal Lane Change

Illegal Lane Change

Identifies vehicles making improper or unsafe lane changes, enhancing road discipline and reducing collision risks.

Driving on the Lane Line

Driving on the Lane Line

Monitors Lane adherence to ensure vehicles stay within designated lanes and promote orderly traffic movement.

Helmet Detection

Helmet Detection

Recognizes motorcyclists not wearing helmets, aiding in the enforcement of safety laws and reducing injury risks.

Traffic Jam Detection

Traffic Jam Detection

Detects and analyzes areas of traffic buildup in real time, enabling better flow management and route optimization.

No Driving Zone Detection

No Driving Zone Detection

Identifies and alerts when vehicles enter restricted or prohibited areas, assisting in enforcing traffic regulations and enhancing safety in pedestrian zones, construction sites, or environmentally pr...