YOLOV3-BASED OBJECT DETECTION FOR VISUALLY IMPAIRED

COMPUTER ENGINEERING

The YOLOv3 algorithm, or "You Only Look Once version 3," offers a groundbreaking approach to object detection with significant implications for aiding the visually impaired. This innovative deep learning model excels in real-time object detection, making it a valuable tool for the blind and visually impaired. YOLOv3 operates by processing an image through a series of convolutional layers, identifying and precisely locating objects. For the visually impaired, this technology can be leveraged through custom applications or wearable devices that provide real-time object recognition, alerting users to the presence and position of objects in their environment. It has the potential to enhance independence and safety by enabling users to navigate unfamiliar surroundings more confidently. The YOLOv3 algorithm's remarkable speed and accuracy, along with its accessibility features, make it a powerful tool for creating inclusive solutions for the visually impaired, ultimately improving their quality of life and mobility.

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