WEARABLE ASSISTIVE SPECTACLES FOR VISUALLY IMPAIRED PEOPLE USING RASPBBERRY PI-4

Individuals who are visually impaired encounter a variety of challenges in their daily lives since current assistive gadgets frequently fall short of consumer expectations in terms of cost and support structure. The number of persons who are visually impaired has increased over the years. According to WHO figures, there are around 2.2 Billion visually impaired people in the world[7]. Over 90 percent of those who are blind or visually impaired around the world are over 50 and reside in low-income areas. The majority of hangouts in the globe are now found in India. Almost 275 million of the 2.2 billion blind persons globally are from India[8]. What’s terrible is that 75% among them involve cases of preventable blindness. There is a severe shortage of optometrists and donated eye in India, which makes it hard to treat corneal blindness. People with visual impairments typically rely on support from others. The support can come from living things, children, or a unique electronic item. Wearable gadgets are among the assistive technologies that are designed to be the most helpful because they don’t require or require little usage of the user’s hands. This article introduces a brand-new style of smart glasses with multitasking support and minimal construction costs. The concept communicates information to the user using the Raspberry Pi 4 single-board computer, a camera, an ultrasonic detector, GPS module and an earphone. People who are blind use the braille system for writing and reading requirements. The arrangement of the raised blotches, which carries the information and are actually quite delicate, is felt by the visually impaired person, thus with these effects in mind, we built our system to make it easier for persons with visual impairments to read any book. The spectacles utilise a variety of technologies, including OCR, Text to Voice Conversion, and Object Recognition, to carry out their responsibilities. Optical Character Recognition and Open CV are used to find the text in the image. Obstacle detection is performed using the ultrasonic sensor. The employed GPS module will be linked to the concerned person’s Google Map, where the location will be live-fed, and the user can alert them in case of an emergency by utilising the provided buzzer.