Enhancement in Real Time Deep Learning Object Detection and Direction Prediction for Visually Impaired using YOLO and OpenCV
Keywords:
Object Detection, Deep Learning, Visually Impaired, YOLO, OpenCV, Image ProcessingAbstract
Millions of individuals around the globe have permanent visual impairment, underscoring the importance of facilitating their understanding of people and the identification of essential daily-use products. To address this need, we propose the system to recognize such items within their daily routines. Numerous initiatives are underway in this field to aid the visually impaired without end to end deployment. The objective is to identify objects and translate them into auditory cues to inform individuals with visual impairment about these items with the system comprises a camera, a speaker, and an image processing system. The primary focus of this study is the amalgamation of real-time object detection and recognition using advanced deep learning techniques. The aim is to detect and label the position and names of multiple objects captured by the camera through an object detection algorithm.
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https://www.who.int/news-room/fact-sheets/detail/ blindness-and-visual-impairment
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