Whitepaper - Multiple Object Tracking at the Edge

White Paper: Multiple Object Tracking at the Edge

Applying ML Tracking and Reidentification Methods

Developing robust vision analytics often requires the concurrent processing of multiple ML workloads and algorithms to generate sufficient insights. This is especially true when examining how a person, vehicle or object interacts with the world around it. In this whitepaper we discuss how real-time Multiple Object Tracking (MOT) and reidentification serves as a key primitive from which to develop sophisticated analytics applications.

Request whitepaper or watch demo video.

Featured product: Brinq – Edge AI and Vision Analytics

Talk to us,
we don't bite