Object detection models are much more complex than image classification networks and require more memory. “We added computer vision support to Edge Impulse back in 2020, and we’ve seen a ...

Real-time object detection, which uses neural networks and deep learning to rapidly identify and tag objects of interest in a video feed, is a handy feature with great hacker potential. Happily, it… ...

By integrating region detection into the main neural network architecture, Faster R-CNN achieves near-real-time object detection speed. YOLO Above: YOLO architecture.

A technical paper titled “TinyissimoYOLO: A Quantized, Low-Memory Footprint, TinyML Object Detection Network for Low Power Microcontrollers” was published by researchers at ETH Zurich. Abstract: “This ...

Subscription Required . BlackSky Shows Rapid AI Object Detection, Identification With New Sat is published in Aerospace Daily & Defense Report, an Aviation Week Intelligence Network (AWIN) Market ...