Swarnalakshmi. M.R, M.Optom

Assistant Professor, Avinashilingam Institute for Home Science and Higher Education for Women, Coimbatore, India



In the human body, the eye is a crucial sense. The probability that the eyes will come into touch with external pathogens increases since they must make physical contact with the outside world to receive external light impulses. Blind people are affected by disease or a lesion in the optic nerve or in the eye that makes them blind, either in one or both eyes. Applying Artificial Intelligence (AI) to help people with vision impairment in performing their daily living activities can improve their quality of life. The study of the development of computer systems with artificial intelligence allows them to perceive, think, and act. As technology advances, these intelligent systems will become more valuable to humans in their daily lives. This technology is helpful to complete their everyday tasks, understanding their feelings, and so forth. The visually impaired individual finds it challenging to self-navigate outdoors in a familiar setting, as well as simply walking down a crowded street. They are unable to assess what is going on around them. As a result, AI technology is extremely beneficial to visually impaired people.(1)

Smart devices based on AI Technology(2-5)

Seeing AI– iPhone application that employs artificial intelligence to inform blind users about their surroundings.

Drishti-Drishti (Disambiguating Real Time Insights for Supporting Humans with Intelligence): is powered by Accenture. This acts as smartphone-based support for visually impaired individuals by applying AI technologies like picture recognition, natural language processing etc.

AI Glass: Combines glasses with stereo sound sensors, GPS, and tablet-attached technology that can read signs, recognise colours, and recognise cash in addition to giving spoken directions and other functions.

Finger Reader: This is a wearable device, a very substantial ring that sits on the finger and can detect and understand 12-point printed text when the user scans his or her finger across it. The wearer gets notified of any deviation beyond the line by subtle vibrations.

Ultrasonic Sensor Cane: It is used to determine the distance between the stick and any obstacles in front of it. The sensor transmits high-frequency ultrasonic signals at a speed of 344m/s; this signal is reflected after hitting the obstacles ahead, and the signal is captured by the Echo system.

Buzzer: This is A transducer is a device that transfers electrical energy into mechanical energy. A buzzer operates in the lower audible frequency range of 20 Hz to 20 kHz. A buzzer is used to alert a blind person of an impending impediment by producing sound proportionate to the distance of the obstacle.

Vibration Motor: If there is water or liquid on the floor, a vibration motor is provided to improve overall input for the person receiving the alert.

OrCam: Ot is a portable LVA that can be placed on a patient’s eyeglass frame. It has a tiny camera that uses optical character recognition technology to translate digital or printed text into real-time auditive feedback.

Irisvision: This is beneficial for people with low vision problems due to macular degeneration and diabetic retinopathy

Optical Character Recognition: This is a reading aid for the blind using optical character recognition that turns the text into synthetic speech or retains it in a digital format.

Low Vision App’s for Visually Impaired people: TapTapSee, Be My Eyes, Lookout by Google, Supersense etc. to help people recognize objects who are suffering from visual impairment.



  1. Wang J, Wang S, Zhang Y. Artificial intelligence for visually impaired. Displays. 2023 Apr 1;77:102391.
  2. Yohannan A, Shyam S. Smart cane for blind and visually impaired persons. International Journal of Creative Research Thoughts. 2020;8(5):2513-7.
  3. ALSHAJAJEER MA, ALMOUSA MT, AL-HAIJA QA. Enhanced White Cane for Visually Impaired People. Journal of Applied Computer Science & Mathematics. 2018 Jul 1;12(26).
  4. Nguyen XT, Koopman J, van Genderen MM, Stam HL, Boon CJ. Artificial vision: the effectiveness of the OrCam in patients with advanced inherited retinal dystrophies. Acta Ophthalmologica. 2022 Jun;100(4):e986-93.
  5. Grandin JC, Cremaschi F, Lombardo E, Vitu E, Dujovny M. Optical character recognition reading aid for the visually impaired. Neurological Research. 2008 Jun 1;30(5):441-3.