• SAMKIT JAIN
• VINTI BHATIA
• PRATEEK CHANDRA

People who faces physical disability and vision impairments sometimes have trouble moving around on their own and solving numerous obstacles in their daily life. Artificial intelligence and computer vision techniques help the physically and visually impaired (VPI)persons are able to complete their principal tasks independently of others. For VPI individuals, smart glasses could be a useful assistive tool that facilitates independent travel and offers social security and comfort. Practically speaking, the VPI cannot move by themselves, especially at night and in dimly lit environments. Followingly, we suggest smart glass system for VPI users that use technologies like deep learning, acoustic feedback, tactile graphics and computer vision techniques accessing information even in darker places and lack of connectivity. This project aims at providing a multiutility smart glass that identifies and integrates suitable sensing mechanisms responsible for assistance for VPI users’ safety and protection in hazardous situations like fire outbreak, etc. The vitals that are implemented are obstacle detection and measurement, object identification through web cam, GPS based location tracking, displaying of measured distance, calculated temperature of the environment etc. on guardians' phone of VPI. Sensors such as Ultrasonic sensor, DHT11, were implemented into it. The proposed system is a prototype system to provide assistance to VPIs through hardware and software implementation.

Wearable, VPI (Visually and Physically Impaired) Person, IOT, TTS (Text to Speech), CNN (Convolutional Neural Networks), DNN (Deep Neural Networks)

"Smart Glasses Using IOT and Cloud for Visually and Physically Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n342-n346, May-2023, Available :http://www.jetir.org/papers/JETIR2305D52.pdf

"Smart Glasses Using IOT and Cloud for Visually and Physically Impaired People", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn342-n346, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D52.pdf