The most important thing in machine vision target tracking is the real-time performance of the object detection algorithm. At present, the amount of computation of the mainstream target detection ...

NTT unveils AI inference LSI that enables real-time AI inference processing from ultra ... Executing the object detection algorithm You Only Look Once (YOLOv3) using this LSI is possible with ...

For situations like ADAS, engineers develop algorithms ... allowing for real-time decision-making for navigation, obstacle detection, and safety features without relying on cloud processing.

Most vertebrates, including humans, are highly adept at processing BM, indicating the existence of a cross-species mechanism for BM perception, potentially rooted in homologous brain architecture.

The researchers are working on it to enhance object detection and help VIP ... this proposed technique provides enough output in comparison with several other machine learning and image processing ...

YOLOv7 is already being regarded as a milestone in the object detection industry. Shortly after the YOLOv7 paper was published, it turned up as the fastest, and most accurate real-time ... algorithm ...

In the new paper DETRs Beat YOLOs on Real-Time Object Detection, a Baidu Inc. research team presents ... but also requires no post-processing, so the inference speed is not delayed and remains stable.

1 School of Information and Computer, Anhui Agricultural University, Hefei, China 2 School of Electrical Engineering and Automation, Wuhan University, Wuhan, China With the development of bionic ...

A new machine learning technique developed by researchers at Edge Impulse, a platform for creating ML models for the edge, makes it possible to run real-time object detection on devices with very ...