Analysis and design of a new blind assistance APP based on YOLOv5 model
The development and diversity of society have brought great convenience to people's lives.However,for those who have difficulty in visual aspects,they face great challenges in traveling independently in complex new environments.This article presents a novel concept for assisting the visually impaired:a new type of blind navigation APP based on YOLOv5,which is pro-posed after analyzing the needs of these individuals.By using image recognition through the camera,it constructs environmental in-formation and then utilizes voice assistance to help visually impaired individuals perceive their surroundings.In addition,this ar-ticle also presents a prioritization algorithm that is used to determine the importance and urgency of environmental information,en-suring that visually impaired individuals can quickly and accurately access relatively important information.
deep learningYOLOv5object detectionvisually impaired group
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