Abstract: Aphids are among the most destructive pests that threaten global crop yields, harming crops through feeding and virus transmission. Accurate detection of aphids in fields is a crucial step ...

Python application that detects faces, aligns them to a stable canonical pose, and renders a smooth timelapse video from daily photos. python main.py daily_photos --predictor-path ...

Google Ads quietly rolls out a powerful new AI model that is better able to catch policy violations and malicious activity. Google published a research paper about a new AI model for detecting fraud ...

OpenCV is a set of libs written in C++ and the compiled into platform-native lib format: *.dll - for Windows, or *.dylib - for Linux / Mac OS. They can be accessed from Java via Java wrapper included ...

A new artificial intelligence startup founded by the creators of the world's most widely used computer vision library has emerged from stealth with technology that generates realistic human-centric ...

Abstract: Fatigue and drowsiness are significant contributing factors to driver alertness, which tend to cause severe road accidents because reaction times are slower and judgment is impaired. It is ...

This study proposes EDGE-MSE-YOLOv11, a novel lightweight rice disease detection model based on a unified Tri-Module Lightweight Perception Mechanism (TMLPM). This mechanism integrates three core ...

To address the challenge of real-time kiwifruit detection in trellised orchards, this paper proposes YOLOv10-Kiwi, a lightweight detection model optimized for resource-constrained devices. First, a ...

What if technology could bridge the gap between spoken language and sign language, empowering millions of people to communicate more seamlessly? With advancements in deep learning, this vision is no ...

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 ...