A novel vision sensor inspired by the neural transmission mechanisms of the human brain has been developed to efficiently and accurately extract object outlines even under fluctuating lighting ...

Abstract Robotic vision has traditionally relied on high-performance yet resource-intensive computing solutions, which necessitate high-throughput ...

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.

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 ...

This capability is achieved through image processing and object recognition ... outputs = net.forward(output_layers) for output in outputs: for detection in output: scores = detection[5:] class_id = ...

"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 ...

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 ...

Now you can find object detection and recognition on nearly every smart home cam, from Arlo's 2K-resolution devices and Ring's plentiful doorbells to Eufy, Lorex, Reolink, SimpliSafe and many more.