Vehicle Classifier
A deep learning-based algorithm to identify vehicle types including busses, pickups, sedans, and more. It's an asset for smart city apps and conforms to a low power profile. Regularly updated.
Specifications
Performance
Optimized for edge performance with a low power profile.
Range
Up to 300 meters.
Conditions
Dawn to dusk.
Environment
Environmentally-agnostic performance.
Functionality
Detection.
Sensor Modality
Visible light.
Use cases
Classify various vehicle makes and models using simple cameras.
Smart cities
Use it as a reliable component of your smart intersection grid. The Vehicle Classifier performs with higher accuracy than traditional algorithms thanks to proprietary CVEDIA synthetic technology.
Security
Quickly localize vehicles of interest using security camera grids.
Traffic data analytics
Calculate road usage analytics and highway traffic data with the ability to add new vehicle makes and models as they're released.
Vehicle ADAS
Use it in your vehicle autonomy system to correctly classify vehicle size. This algorithm has been developed to maintain a low power profile, making it perfect for battery-powered vehicles and applications.