ADONIS Smoke and Wildfire Detector
Detect and segment smoke and fires using the CVEDIA ADONIS algorithm. Built to respond to the increasing impact of forest and wildfires, ADONIS can be integrated into regular camera systems to alert forestry and agriculture personnel of fires in real-time.
ADONIS ignores clouds and fog for a low false positive rate. Integrate ADONIS in a watchtower camera system, or use it for aerial fire analysis.
Optimized for edge performance with a low power profile
Dawn to dusk
Ground-to-ground; Elevated; Aerial
CVEDIA is a pioneer in the use of synthetic data for machine perception. We use deep learning to create synthetic-based detection and classification algorithms. CVEDIA models actually outperform traditional models because synthetic data allows for feature-based design. That means our models are safer and quicker to market. Today we work with over 30 of the world’s largest companies on their most complex deep learning projects.
Every model is backed by an ongoing maintenance service, as well as the ability to customize and add to a model through our in-house development team. We’ll even help you deploy our models in your software stack. Contact us for more information.
Backbone: Resnet-101, Detector: RefineDet
KERNEL INPUT SIZE
Each CVEDIA model comes backed with an ongoing maintenance agreement. Our team is available for continuous improvements and to ensure upkeep. Reach out to us for more information.
Fine Grain Classification
Speak to our team to discuss vehicle 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.
CVEDIA models are built using proprietary synthetic data technology – meaning adding additional classes to your model is possible in a matter of weeks.
Forest and Wildfire Alert
ADONIS will reliably segment both smoke and fires in real-time, making it ideal to integrate into a watchtower camera system for instant alerts. ADONIS has been trained to ignore clouds and fog for a low false positive rate.
Aerial Fire Analytics
Quickly analyze aerial fire imagery using ADONIS segmentation data. By segmenting fire and smoke, ADONIS can be used to define the size, scope, and impact of a forest fire.