Intel and Camio accelerate Deep Learning Inference for AI In Production on all video streams.*
Camio® uses Intel® OpenVINO™ to optimize its Deep Learning Neural Networks for a 3x speed improvement. And with the Intel® Media SDK to transcode video 8x faster than CPU transcoding, Camio Interest-based Video Compression™ provides the most cost-effective remote video monitoring available.
As an on-premise video gateway, Camio Box connects all existing cameras and NVRs to state-of-the-art AI. The computational efficiency achieved by Camio and Intel delivers intelligent video analysis for multiple streams. There’s no “last ladder” deployment problem, since no new cameras are required. Camio's hybrid edge/cloud AI makes it fast and inexpensive to see the events that warrant attention.
Camio uses the new OpenVINO toolkit to optimize TensorFlow models to exploit any combination
of CPUs and GPUs available on the machines serving as Camio Box video gateways.
Box runs the OpenVINO plug-in libraries
for 3x faster inference from the OpenVINO (IR) Intermediate Representation of models
deployed at the edge for on-premise processing.
Camio also uses the Intel Media SDK to offload the transcoding of videos to the GPU—not only to encode 8x faster to handle more streams but also to free-up the CPU to orchestrate the other Neural Networks critical to Camio's adaptive motion filters and interest ranking. The net result of Camio's work with Intel is a powerful and cost-effective SaaS platform for real-time video search and alerts.
Camio is a Member of the Intel® IoT Solutions Alliance. A global ecosystem of more than 800 industry leaders, the Alliance offers its Members unique access to Intel® technology, expertise, and go-to-market support—accelerating deployment of best-in-class solutions.