A thermal model that detects vehicles in low visibility. Can be used for ADAS, traffic analytics, insurance, and ITS. Effective in night conditions.
Optimized for edge performance with a low power profile.
Up to 300 meters.
Dawn to dusk and low artificial lighting.
Environmentally-agnostic performance.
Backbone: Resnet-101; Detector: RefineDet.
Detection.
512x512.
Thermal.
Detect cars and trucks from elevated or car-mounted thermal cameras.
Use it in your vehicle safety system to correctly detect vehicles at night time and in low visibility. This algorithm has been developed to maintain a low power profile, perfect for battery-powered vehicles and applications.
Use this algorithm as a reliable component of your smart intersection grid. The Thermal Vehicle Detector performs with higher accuracy through proprietary CVEDIA synthetic technology.
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.