Design and Implementing Smart Portable Device for Blind Persons

Advances in mobile technology have made significant improvements in helping the visually impaired. The glasses project helps blind people detect and recognize objects in their environment that they see through a small camera attached to their glasses. This method helps a blind person establish a connection with a nearby object by sending a voice message to an earpiece worn over the blind ear. The goal is to develop intelligent systems that can mimic the human eye. To do this, we use a small device called the "Raspberry Pi 4" that works in a way similar to the human brain, using a camera. It is known as a convolutional neural network algorithm for object recognition using deep learning algorithms. Finally, the moment the features of the image are recognized, the sound of each object is transmitted so that the visually impaired can know about the object in front of them. Python was used to create this project. The results showed that the blind CNN classifier achieved 100 curacy on the COCO dataset.