EyePop.ai
Customizable computer vision with cloud, edge and on-premise deployment
About EyePop.ai
EyePop.ai lets users define what to detect in images and video and deploy resulting 'Abilities' in the cloud, on edge devices or on-premises. It supports Snapdragon and NVIDIA Jetson hardware and integrates with video management systems.
Common use cases
- Video surveillance analytics
- Traffic monitoring
- Insurance imagery
- Construction monitoring
Products and services
Self-Service Training
Train custom detection.
On-Premise Runtime
Local deployment.
Video Agent
Video analytics agent.
Physical AI Vision
Vision for physical systems.
Key features
- Custom detection
- Edge deployment
- On-premise runtime
- VMS integration
- Self-service training
Integrations
- Milestone XProtect
- Nx Witness
- Qualcomm AI Hub
- NVIDIA Jetson
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FAQs
Where can it run?
Cloud, edge or on-premises.
Hardware?
Snapdragon and NVIDIA Jetson.
VMS?
Milestone and Nx Witness.
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