Moshe Shahar, Director of System Architecture, CEVA Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene ...

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...

Just making a small tweak to algorithms typically used to enhance images could dramatically boost computer vision recognition capabilities in applications ranging from self-driving cars to cybernetic ...

The Raspberry Pi 5 excels in simplicity and real-time object detection with minimal latency, while the Jetson Orin Nano Super supports customizable detection and advanced use cases.