An algorithm to alert of forest fires in real-time. Ignores clouds and fog for low false positive rate. Can be integrated in watchtower cameras or for aerial fire analysis.
Optimized for edge performance with a low power profile.
Ground-to-ground, elevated and aerial.
Dawn to dusk.
Backbone: Resnet-101; Detector: RefineDet.
Quickly detect and analyze smoke and wildfires.
The Smoke and Forest Fire Detector will reliably segment both smoke and fires in real-time, making it ideal to integrate into a watchtower camera system for instant alerts. This algorithm has been trained to ignore clouds and fog for a low false-positive rate.
Ensure peace of mind in public spaces and events with fewer resources using the Aerial Human Detector. CVEDIA models help you surpass the data collection and training phases of your project, so that you can get to market quicker.
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.