Unlike conventional cameras, which capture an entire frame at once, a line scan camera records one line at a time in rapid ...

What the Helious AI Bag Counting System Does DifferentlyThe Helious system uses industrial-grade cameras and an intelligent deep learning model trained specifically on Indian plant floor conditions to ...

Apple is opening up what is possible on Apple Vision Pro by implementing physical object tracking and expanded spatial accessory support. Here's what that means for users when visionOS 27 launches.

A real-time multi-camera object detection and tracking system with WebRTC streaming, computer vision integration, and Bird's Eye View (BEV) transformation capabilities. It is designed to be modular ...

Researchers at Pointcloud GmbH in Zürich, Switzerland, have packed advanced 4D sensing technology — once too bulky for everyday use — onto a single silicon chip. It’s a 4D imaging sensor that maps the ...

Abstract: As an important area in computer vision, object tracking has formed two separate communities that respectively study Single Object Tracking (SOT) and Multiple Object Tracking (MOT). However, ...

Package theft has reached unprecedented levels in the logistics ecosystem. For the first time since tracking began, incidents dropped year over year from 120 million in 2023 to just over 104 million ...

Multi-object tracking is a challenging computer vision task that is a research hotspot in the literature. Although current one-stage methods can jointly optimize detection and appearance embedding ...

Free-space optical (FSO) communication is a promising technology for high-speed data transmission, but its effectiveness is highly dependent on precise beam alignment. In this work, we present a ...

This project implements a multi-camera tracking system that combines YOLO object detection, epipolar geometry-based matching, triangulation and 3D tracking to provide 3D object localization and ...

Abstract: In computer vision, object tracking in thermal imagery has a significant challenge. Object tracking involves finding an object’s location in all video frames based on the first frame ...

Computer vision in sports is based on extracting structured information from video footage with high precision. Core methods include object recognition to locate players and the ball, trajectory ...