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Start using CVEDIA-RT
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.
PERFORMANCE
Optimized for edge performance with a low power profile.
RANGE
Up to 300 meters.
CONDITIONS
Dawn to dusk.
ENVIRONMENT
Environmentally-agnostic performance.
ARCHITECTURE
Backbone: Resnet-101; Detector: RefineDet.
FUNCTIONALITY
Detection.
INPUT SIZE
512x512.
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 theyโre 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.
Our services.
We offer maintenance services for our AI models and provide the option to add fine grain classification or additional classes through our in-house team. Our models are built with proprietary synthetic data technology, allowing for quick integration of new classes.
Maintenance
Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep.
Fine classification
Discuss fine grain classification with our team and get an answer today. We'll work with you to build a synthetic-based model to meet your specifications.
Additional classes
Our models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.
