News

A complete and local NVR designed for Home Assistant with AI object detection. Uses OpenCV and Tensorflow to perform realtime object detection locally for IP cameras. Use of a GPU or AI accelerator ...
To address the limitations of current techniques, this paper presents an improved object detection method for autonomous driving based on a detection transformer (DETR). First, we introduce a ...
TOKYO, May 19, 2025 /PRNewswire/ -- Synspective Inc., a provider of Synthetic Aperture Radar (SAR) satellite data and analytics solutions, is pleased to announce the launch of its Object Detection and ...
The USV is usually small in size, which makes it difficult to be found by the visual system with vague features. For object detection algorithms, too few features lead to missed detection; at the same ...
Add a description, image, and links to the deep-learning-object-detection topic page so that developers can more easily learn about it.
Abstract: PointPillars, a voxel-based 3-D object detection model, would encounter the resolution loss after voxelization, leading to the capability reduction in capturing intricate object details.
There is a growing demand for efficient object detection systems in robotics, autonomous vehicles, and smart surveillance. This paper presents an ultrasonic sensor-based system for object detection in ...