IoT Image Recognition System Implementation for Blind Peoples Using esp32, Mobile Phone and Convolutional Neural Network
Vasyl Kushnir, Bogdan Koman, Volodymyr Yuzevych · 2019
This work represents a method of developing a device that could help people with eye problems to get additional information about the environment. It is represented as a tracker that has a connection with a mobile phone. Mobile phone retrieve data from the tracker and evaluate it using the convolutional neural network which is trained for object recognition. This neural network helps to label our data and generate object labels. It can help them be more informed in the environment they are now.