Object detection is the task of identifying and localising instances of predefined object classes within images or video frames. Early approaches relied on handcrafted features and sliding-window ...

Artificial intelligence detectors are increasingly used to check the veracity of content online. We ran more than 1,000 tests and found several strengths and plenty of weaknesses. By Stuart A.

A real-time driver drowsiness detection system using computer vision to monitor eye movements. It alerts drivers with a buzzer when signs of fatigue are detected, helping prevent accidents. real-time ...

For decades, the retail industry has faced the same persistent problems of empty shelves, pricing errors and inventory discrepancies. Despite having spent billions of dollars on data analytics and ...

Abstract: In the field of face detection, computer vision is a fundamental and crucial task, widely applied in video surveillance, identity verification, social media, entertainment, and healthcare.

This research addresses the challenge of monitoring railway driver drowsiness using a real-time, vision-based system powered by convolutional neural networks, specifically the YOLOv8 architecture ...

Microsoft has removed a compatibility hold that prevented devices with integrated cameras from installing Windows 11 24H2 due to a face detection bug causing app freezes. The issues were triggered ...

The latest trends and issues around the use of open source software in the enterprise. JetBrains has detailed its eighth annual Python Developers Survey. This survey is conducted as a collaborative ...

The Python Software Foundation warned users this week that threat actors are trying to steal their credentials in phishing attacks using a fake Python Package Index (PyPI) website. PyPI is a ...

This repository provides a complete pipeline to detect and crop face regions from images using the MTCNN (Multi-task Cascaded Convolutional Networks) face detector from the facenet_pytorch library. It ...

Computer vision continues to be one of the most dynamic and impactful fields in artificial intelligence. Thanks to breakthroughs in deep learning, architecture design and data efficiency, machines are ...

Watershed macrotrash contamination is difficult to measure and requires tedious and labor-intensive processes. This work proposes an automated approach to waste counting, focusing on using computer ...