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Smoke and Forest Fire Detector.
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.
PERFORMANCE
Optimized for edge performance with a low power profile.
PERSPECTIVE
Ground-to-ground, elevated and aerial.
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.
Quickly detect and analyze smoke and wildfires.
Forest and wildlife alert
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.
Aerial fire analytics
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.
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.
