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.
Optimized for edge performance with a low power profile.
Up to 300 meters.
Dawn to dusk.
Backbone: Resnet-101; Detector: RefineDet.
Classify various vehicle makes and models using simple cameras.
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.
Quickly localize vehicles of interest using security camera grids.
Calculate road usage analytics and highway traffic data with the ability to add new vehicle makes and models as they’re released.
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.
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.
Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep.
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.
Our models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.