SMART ASSISTANT FOR VISUALLY IMPAIRED USING YOLO MODEL

Abstract

The suggested system finds web-based things. By tracking an object's location, the camera captures each frame and notifies the user of its movement. A voice is heard when movement of an object is noticed. For the purpose of directing the blind person, an object alarm is produced. the object detection model for YOLO. Deep neural networks are used in this to learn and detect objects. Although the prevalence of blindness and visual impairment due to numerous diseases has significantly decreased, there are still many people who are at risk for age-related visual impairment.