Third Eye for the Visually Impaired Using Echolocation Technology

Third Eye for the Visually Impaired Using Echolocation Technology

 Prof. Pravin M. Tambe1 , Rajeshwari Khade 2, Rutuja Shinde3, Aishwarya Ahire4, Nikita Murkute5

Assistant Professor1,BE Student2,3,4,5

1,2,3,4,5Department of Computer Engineering Sir Visvesvaraya Institute of Technology Nashik, Maharashtra

Abstract - The Third Eye is an innovative device that utilizes cutting-edge fields of study, such as computer vision, machine learning, embedded systems, and medical sciences, to assist individuals who are visually impaired in their daily lives. By incorporating artificial vision and deep learning technology into a wearable shield, blind individuals can walk freely and confidently, with the device detecting obstacles or other objects in their path and providing information via a speaker or headphones.

To achieve this, we developed a convolutional neural network (CNN), a deep learning neural network-based object detection framework, that is programmed in Python and implemented on a Raspberry Pi processing unit. The CNN is capable of recognizing various objects, such as poles, and alerting the user via earphones that an object is in their path. This automated device is designed to be fast, affordable, and easily accessible to the visually impaired community.

Our ultimate goal is to improve the lives of millions of blind individuals by providing them with a reliable and efficient technology that allows them to navigate the world with greater ease and independence

Keywords: CNN, Machine learning, Deep learning, Embedded System, Object Detection