CrowdOptic is pleased to announce the launch of CrowdOptic Intersect, a software platform for camera systems that utilizes artificial intelligence in the video analytics process to propel its own patented triangulation algorithms. The system, developed in collaboration with Hewlett Packard Enterprise and Intel Corporation, will be used initially to provide indoor location, gaze analytics, and subject tracking.
Its hybrid architecture enables CrowdOptic Intersect to run securely at the edge to support retail use cases and as a component of a larger centralized system to support public safety use cases, with flexibility to support virtually any environment in between. CrowdOptic Intersect works with pre-trained AI models from some of the world’s leading research institutions and has the ability to train custom models, depending on the specific application. Analysis of the video incorporates CrowdOptic’s patented triangulation algorithms without a dependency on device sensor data, opening the doors to a wide range new use cases.
An example of how a basic AI model works with CrowdOptic algorithms can be viewed at: https://crowdoptic.com/files/ai-demo/. CrowdOptic Intersect was demonstrated at HPE Discover 2018 in Madrid, Spain.
In conjunction with this announcement, CrowdOptic is also making available its latest white paper, CrowdOptic Intersect: Practical Applications of AI with Triangulation Algorithms.
A typical configuration of CrowdOptic Intersect runs on an HPE EL300 and utilizes the Intel OpenVINO SDK to spread the compute load across the EL300’s in-built GPU and an HPE neural compute accelerator card with four Intel Movidius Myriad X Vision Processing Units on board.
Enterprises, retail organizations or public agencies interested in deploying this system within existing camera infrastructures should contact CrowdOptic.