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 ...
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 ...
Emotion-Detection/ ─ test.py # Main script for webcam emotion detection ─ emotion_model.h5 # Pre-trained Mini-XCEPTION model ─ haarcascade_frontalface_default.xml # Face detection Haar cascade ─ ...
Abstract: Strong Lane detection and object identification are essential for safe navigation in advanced driver assistance systems (ADAS) and autonomous driving. Using OpenCV for lane marker extraction ...
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