Embedded Files
Built to respond to the increasing impact of forest and wildfires, the Smoke and Forest Fire detector can be integrated into regular camera systems to alert forestry and agriculture personnel of fires in real-time. This algorithm ignores clouds and fog for a low false positive rate. Integrate it in a watchtower camera system, or use it for aerial fire analysis.
PERFORMANCE
Optimized for edge performance with a low power profile.
RANGE
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.
Our services
MAINTENANCE
Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep.
FINE GRAIN CLASSIFICATION
Speak to our team to discuss model classification as a service add on or as a separate model. CVEDIA’s in-house team will work with you to define your requirements, and build a synthetic-based model incorporating your classification specifications.
ADDITIONAL CLASSES
CVEDIA models are built using proprietary synthetic data technology, meaning adding additional classes to your model is possible in a matter of weeks.
Use cases
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
Quickly analyze aerial fire imagery using this algorithm's segmentation data. By segmenting fire and smoke, it can be used to define the size, scope, and impact of a forest fire.
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