Learn how to set up YOLO object detection on Raspberry Pi AI HAT. Step-by-step guide for hardware, software, and real-world applications.

An open-set, multimodal approach to detect, segment, track, and follow any object in real-time. A unified system that is easily deployed on a robot platform (in our work, a micro aerial vehicle).

Road damage such as potholes may occur on roads due to aging, which may affect traffic. Periodic inspections of road damages are difficult due to the high cost of road surveys. The development of a ...

Some frequent uses of object detection include self-driving automobiles, object tracking, face detection and identification, robotics, and license plate recognition. First, let’s have a peek at the ...

FOMO is a deep learning object detection model that weighs less than 200 kilobytes.

Those programs are publisher, object detection, video combiner, and dashboard program. Object detection system is using YOLOv3, an algorithm using deep learning and convolutional neural networks (CNN) ...