Smart Glasses for Blind People Using Obstacles Detection

Object detection is a new technique that involves identifying specific instances of semantic objects (such as people, structures, or cars) in images and videos, and is the goal of object detection, a branch of computer vision and imaging. Deep learning has made great strides in object detection and is now widely used in practical applications including driving, safety and object tracking. Convolutional Neural Networks (CNNs) are often used to extract features from images and then use object detection techniques such as bounding box regression or unlimited maximum probability to find objects and determine their groups. Object detection can be used to assist blind people by providing them with audio feedback about the environment around them. This can be done through wearable devices equipped with cameras and object detection algorithms. The device can take images of the environment and use object detection to identify objects such as people, obstacles, and text. The device can then provide audio feedback to the blind person, such as “There is a person in front of you” or “There is a curb ahead”. This technology can help blind people navigate their environment more safely and independently.