Visually impaired individuals face a daily challenge of independent and safe mobility. Difficulties posed in smooth mobility due to visual impairment can severely limit the opportunities for economic development of a person. Hence, Mobility Assistant for the Visually Impaired (MAVI) is aimed to provide a safe, reliable and a socially inclusive solution for mobility in an unconstrained environment for the visually impaired persons. After the grand success of SmartCane, we have identified more serious problems which could be solved using the current technologies. The three major problems we want to tackle with MAVI are as follows:
The MAVI device intends to provide real time safety against stray animals or obstructions in the walkway which could be potentially missed/dangerous for the cane.
The device is portable to carry around and also helps the user to identify the presence of nearby pedestrians while walking.
While walking the MAVI device is designed to assist the user by detecting and reading out signboards written in both English/Hindi.
MAVI is a system which houses various Computer Vision algorthims to solve the above listed problems. The CV algorthms are deployed on low cost neural network accelerators and a RaspberryPi 4 chipset connected to a portable and low cost camera and powered by a 20000mAH power bank. MAVI is a solution designed to be safe, reliable and easy-to-use for any visually impaired individual to overcome daily navigation challenges.
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