Embedded Files
Our Gun Detection algorithm is built to detect a wide variety of guns and rifles while having a low false positive rate for other held objects such as phones and utility tools. By utilizing CVEDIA's synthetic data technology, this algorithm retains high accuracy in crowds and busy environments, as well as an improved contextual recognition of gun versus rifle, and pedestrians versus military persons.
PERFORMANCE
Optimized for edge performance with a low power profile.
PERSPECTIVE
Ground-to-ground and elevated.
CONDITIONS
Dawn to dusk.
HIGHLIGHT
Resilient to other handheld objects.
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
SCHOOL SECURITY
Integrate our Gun Detection algorithm with your school security system to detect guns in real-time, even in crowds and prevent an incident before it occurs.
INTERSECTIONS AND PUBLIC SPACES
This algorithm was built to be resilient against other handheld objects, making it ideal for busy public places, both indoor and outdoor.
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