I tested five speed camera detectors for drivers — here's the one I'd buy

I took five of the best speed camera detectors for a long drive. Which one came out on top?
GitHub

JunweiLiang/Object_Detection_Tracking

This repository contains the code and models for object detection and tracking from the CMU DIVA system. Our system (INF & MUDSML) achieves the best performance on the ActEv leaderboard (Cached). If ...
LinkedIn

Development of a Simulation-Based ADAS Prototype Using Webots and OpenCV

This article presents the development of DriveMind AI, a simulation-based Advanced Driver Assistance System (ADAS) prototype implemented using Python, OpenCV, and the Webots robotics simulator. The ...
LinkedIn

Top Deep Learning Projects & Ideas For Beginners with Free Source Code

Here’s a list of deep learning projects and ideas, suitable for everyone from beginners to advanced learners. 1. OpenCV Python East Text Detection With Source Code The Text Detection was developed ...
IEEE

Artificial Intelligence-Based Traffic Violation Detection Model Using YOLOv8, OCR, and OpenCV-DNN on University Campuses

Abstract: The significant increase in vehicular traffic on university campuses has raised concerns about pedestrian safety and the enforcement of traffic regulations. Peak hours see heightened risks ...
Frontiers

A vision-based drowsiness detection system for railway operators using lightweight convolutional neural networks

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 ...
GitHub

motion-tracking

Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Direction Estimation Using Convolutional Neural Networks, Skin Detection through Backprojection, Motion ...
electronicsforu

AI-Powered Object Detection and Distance Measurement using Raspberry Pi

Imagine a vehicle cruising at 54 kilometres per hour, roughly the speed of an object moving 0.5 metres per frame at 30 frames per second (0.5×30×3.6=54 km/hr). Mounted on the vehicle’s roof is a ...
Nature

A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction

As intelligent technologies advance in electric vehicles (EVs), automatic unmanned charging systems are becoming increasingly prevalent. A key breakthrough lies in developing efficient methods to ...
Nature

Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment

With the global population surpassing 8 billion, waste production has skyrocketed, leading to increased pollution that adversely affects both terrestrial and marine ecosystems. Public littering, a ...
IEEE

Design and Implementation of Advanced Driver Assistance Systems

Abstract: Advanced Driver Assistance Systems (ADAS) are a pivotal advancement in automotive technology, enhancing vehicle safety and driving experience. In our project, we have successfully designed ...