Omeon Inc.

Edge Video Analytics

Omeon’s most advanced analytics technology uses neural networks to power self-learning video analytics, delivering improved accuracy. Omeon provides two major Video Analytics solutions with Cloud Video Surveillance.

Omeon's powerful video analytics is available in your smart camera!

Our edge analytics are developed to run directly on your camera,eliminating the need for additional hardware.

Available on Axis and Vivotek cameras, our edge analytics are easily setup via the camera's web interface and when an alarm condition is detected, various actions are triggered, such as sending notifications and sending triggers for 3rd party devices.

Compatible Camera Platforms

Axis Camera

We are currently compatible with all Axis cameras with ARTPEC-4, -5, -6, -7, and -8 chipsets. Edge based event management and reports are available for all compatible Axis cameras. Best processing performance is available on cameras with ARTPEC-6 and higher chipsets.

Vivotek Camera

We support major Vivotek camera models. Edge based event management and reports are available for all compatible Vivotek cameras.

Custom System On Chip

Omeon's Edge Analytics were developed with flexibility in mind. Allowing us to quickly and efficiently turn around custom builds for other system on chip platforms. Please contact us for more information about bringing Omeon's Edge Analytics to your platform.

Solution 1 : Edge Analytics Using Camera
  • No other hardware needed except Camera! Our Cloud Video surveillance works great on the edge with Motion based events optimized for the compatible cameras
  • Edge is currently available on a number of camera platforms, including: Axis and Vivotek.

Edge Analytics Using Camera
Solution 2 : Edge Analytics Using PC(x86)/ Raspberry Pi
  • Any OnVIF Camera working with powerful low foot print Intel based PC in combination with Google Coral TPU Stick (or) Intel Neural Compute Stick
  • Available for Linux platforms, is the most powerful real-time video analytics solution

Edge Analytics Using PC(x86)/ Raspberry Pi