How to deliver ultra-low power ML for more effective embedded vision - Embedded.com

Machine learning algorithms have opened up a realm of possibilities to enable vision embedded in products that make our home, workspaces and the places in between safer and more efficient. To truly realize the potential of smart vision in more use cases, developers need more power-efficient, and more flexible embedded solutions that can operate on batteries, be easy to install and maintain, and still deliver the vision performance required to provide effective and intelligent sensing of the things we want to detect and monitor. New advances in ML modeling and processing hold the key to widespread adoption of smart cameras. Affordable remote visual monitoring used to mean an infrared motion detector: inexpensive, autonomous, but not necessarily effective. A friend of mine recently protected his back yard with a set of internet-connected video cameras.