That is exactly what this Raspberry Pi object detection project demonstrates. You can build a fully working object detection ...

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 ...

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 ...

Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user interaction and reduces mechanical dependency on physical controllers.

1 Laboratory of Studies and Tests in Civil Engineering (L2EGC), National University of Sciences, Technologies, Engineering and Mathematics, Abomey, Benin. 2 Laboratory of Applied Energetic and ...

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

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 ...

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 ...

I recently was figuring out how to annotate a dataset that had 51,000 images (51,789 to be precise) for a deep learning project. Now, that dataset was needed to be fed to an AI model for training, so ...

We present a novel method for soybean [Glycine max (L.) Merr.] yield estimation leveraging high-throughput seed counting via computer vision and deep learning techniques. Traditional methods for ...