Object detection and recognition are an integral part of computer vision systems. In computer vision, the work begins with a breakdown of the scene into components that a computer can see and analyse.

The idea behind FOMO is that not all object-detection applications require the high-precision output that state-of-the-art deep learning models provide. By finding the right tradeoff between ...

These models can handle tasks like object detection, facial recognition and landmark recognition. Today’s smartphones don’t possess the computational resources of larger scale desktop and ...

His object recognition software runs on a Raspberry Pi equipped with a webcam, and also makes use of Open CV. [Evan] notes that this opens up a lot of creative low-cost detection applications for ...

"Detection requires recognizing each object individually and then performing the classification on each of these objects individually," said Prof. Ido Kanter, of Bar-Ilan's Department of Physics ...

demonstrating enhanced object detection and recognition capabilities and positioning it at the forefront of technological breakthroughs in autonomous robotics. "Robotic cameras often struggle to ...

is pleased to announce the launch of its Object Detection and Classification (ODC) solution, designed to enhance the accuracy and reliability of monitoring vessels and aircraft. This solution ...