An earlier version of this automatic gateman system, built around a camera-based design, was published on the Electronics For ...
Gesture control robotics replaces traditional buttons and joysticks with natural hand movements. This approach improves user ...
Abstract: The most often adopted methodologies for contemporary machine learning techniques to execute a variety of responsibilities on embedded devices are mobile networks and multimodal neural ...
Bridging communication gaps between hearing and hearing-impaired individuals is an important challenge in assistive technology and inclusive education. In an attempt to close that gap, I developed a ...
Let's make a real-time Facial Landmark Detection using OpenCV, Python, and Mediapipe API. It detects 468 facial landmarks in real time. Facial Landmark Detection is used for AR (Augmented Reality) ...
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 ...
mobilenet-ssd-object-detection/ │ ├── assets/ │ └── banner.png │ ├── input/ # Place images in this folder │ ├── fruit-vegetable.jpg │ ├── animals.jpg │ └── traffic.jpg # Extra image │ ├── output ...
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 ...
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