Vehicle Tracking
Vehicle Tracking Using Vision AI for Real-Time Mapping and Monitoring
Map and track vehicles on highways and roads through images or video streams captured by surveillance cameras mounted on roadside infrastructure to identify individual vehicles. Discover the capabilities of Computer Vision in accurately monitoring the movements of multiple vehicles on the road.
Addressing Vehicle Tracking Challenges with Number Plate Recognition
Providing real-time visibility into traffic movements and activities for effective vehicle tracking
- Traffic Management: Track and find the real-time location of vehicles.
- Monitoring & Surveillance for Security: Track vehicles for any suspicious behavior/activity.
Process Flow for Accurate Vehicle Tracking and Mapping Using Computer Vision
Track multiple vehicles in time series based on convolutional neural networks.
- Vehicle Detection: Gather information about the presence, movement, and characteristics of vehicles.
- Object Classification: Recognize various vehicle types and by CNN train the data set for various types of vehicles.
- Tracking: Predicts vehicle’s live position and identifies motion dynamics and characteristics to locate the position of a vehicle.
- Mapping: Vehicle mapping extracts relevant attributes from tracked vehicles.
- Trajectory Analysis: Trajectory analysis examines tracked vehicle movements for insights.
- Visualization and Reporting: Visualization and reporting tools present the tracked data effectively.
Vehicle Tracking and Mapping Using Computer Vision for Traffic Authorities
With Computer Vision, traffic authorities and police forces can analyze real-time vehicle tracking and implement measures to monitor traffic, route optimization, incident detection, and gain security benefits for investigation. Transform Your Traffic Management for efficient traffic flow, reduced congestion, and improved operations
