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Analyze and optimize your COVID-19 social distancing procedures on the edge using the our Social Distancing Mapping tool that builds heat maps in relation to human traffic for insight into person concentration and problematic areas, no cloud connection required. This algorithm performs both from eye-level and elevated perspectives and is ideal for use in busy areas and its output retains individual privacy and was built using GDPR-compliant synthetic data.
PERFORMANCE
Optimized for edge performance with a low power profile.
PERSPECTIVE
Ground-to-ground.
CONDITIONS
Dawn to dusk and artificial lighting.
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
WORKPLACE COMPLIANCE
This algorithm is a quickly deployed component of health compliance measures. Ensure a quick setup with our solutions team so you can get back to work.
AIRPORTS AND SUBWAY STATIONS
Ensure the correct flow of traffic through busy airport terminals, junctions, and train stations for your transit and transportation system.
PUBLIC SPACES
Ensure peace of mind in public spaces and events with less resources. CVEDIA models help you surpass the data collection and training phases of your project, so that you can get to market quicker.
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