Hyderabad: A study based on road conditions in Hyderabad led to the development of a prototype autonomous electric vehicle (AEV) that can detect potho.

Two MIT graduates have developed a Foodres.AI, an 3D printer that uses AI to convert household food waste into functional ...

The convergence of AI, AR, and computer vision is ushering in a new era for the industrial sector. These technologies complement each other, creating a digital ecosystem where data is continuously ...

The study evaluated AI accelerators from NVIDIA, Hailo, and Axelera AI across seven object detection models, including SSD MobileNet and multiple versions of YOLO, to simulate a surveillance system ...

Camouflaged object detection (COD) and salient object detection (SOD) are two distinct yet closely-related computer vision tasks widely studied during the past decades. Though sharing the same purpose ...

Automation is the key to success for all phases that include collection, computer vision model inference, and delivery of timely results.

YOLOv11-RGBT: Towards a Comprehensive Single-Stage Multispectral Object Detection Framework（Supports RGBT detection for all YOLO series from YOLOv3 to YOLOv13, as well as RTDETR. 【Ultralytics YOLOv ...

PCGOD: Enhancing Object Detection With Synthetic Data for Scarce and Sensitive Computer Vision Tasks Abstract: Object detection models rely on large-scale, high-quality annotated datasets, which are ...

A real-time fall detection system using computer vision with YOLOv12 for person detection and MediaPipe for pose estimation. The system features an intuitive dashboard for monitoring and analyzing ...