CHICAGO (WGN) – With Chicago experiencing a slight uptick in shootings, some city leaders are demanding to know when the Johnson administration plans to install new gunshot detection software. City ...

Underwater object detection has emerged as a pivotal field for marine exploration, environmental monitoring and underwater robotics. The unique challenges of aquatic environments—such as light ...

Object detection in computer vision encompasses the automatic identification and localisation of objects within images or video streams. Early approaches relied on handcrafted features and shallow ...

PINELLAS COUNTY, Fla. (WFLA) – Starting Tuesday, April 7, two Pinellas County high schools will have weapons detection systems in place. Back in October, the idea for a pilot program was presented to ...

Timely and accurate detection of foreign objects is crucial for the safe operation of transmission lines in power grid. Currently, object detection models have more and more parameters and their ...

This project showcases a sophisticated pipeline for object detection and segmentation using a Vision-Language Model (VLM) and the Segment Anything Model 2 (SAM2). The core idea is to leverage the ...

Researchers have developed a new algorithm that can help multiple drones work together to control and transport heavy payloads. Developed by scientists at TU Delft, the algorithm can help perform ...

To achieve autonomous vehicle (AV) operation, sensing techniques include radar, LiDAR, and cameras, as well as infrared (IR) and/or ultrasonic sensors, among others. No single sensing technique is ...

This project contains the Sixray dataset v4 formatted for YOLO object detection, specifically designed to identify dangerous objects in security X-ray screening images. ├── train/ │ ├── images/ # ...

ABSTRACT: The study adapts several machine-learning and deep-learning architectures to recognize 63 traditional instruments in weakly labelled, polyphonic audio synthesized from the proprietary Sound ...

Traffic monitoring plays a vital role in smart city infrastructure, road safety, and urban planning. Traditional detection systems, including earlier deep learning models, often struggle with ...