TALOS Accident, Slip, and Fall Detector
The CVEDIA TALOS Fallen Person Detector was built to detect accidents in work environments, warehouses, industrial locations, and public spaces. Built using proprietary CVEDIA synthetic technology, TALOS is resilient to other potential scenarios including sitting and resting positions, and provides coverage from a variety of ground-to-ground and elevated perspectives.
Optimized for edge performance with a low power profile
Dawn to dusk; Artificial lighting
Resiilient to safety-unrelated scenarios
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 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.
CVEDIA models are built using proprietary synthetic data technology – meaning adding additional classes to your model is possible in a matter of weeks.
TALOS detects accidents while being resistant to other situations including sitting and resting positions. Use this algorithm in your safety or alarm application to be quickly notified of accidents.
With its low power profile, TALOS can be incorporated into warehouse machine learning systems to localize worker accidents alongside other tasks.