Look AI – An Intelligent System for Socialization of Visually Impaired
G. L. M. M. Mendis, W. M. Y Deshan, H. M. G. M. Bandara, K. C. Gunethilake, Dinuka Wijendra, Jenny Krishara · 2023
It has found that 30% of the people among the visually impaired people are having a significant number of depressive symptoms whereas, the prevalence of depression in blind people was reported to be 33%, or nearly double the rate of the general population. Therefore, social activities among visually impaired people should increase. This research paper provides a unique system for assisting visually impaired individuals in navigating indoor environments heavily relies on the use of artificial intelligence, particularly deep learning and computer vision techniques. By leveraging these advanced technologies, the system can analyze and process large amounts of visual data in real-time, accurately identifying and locating various objects in the environment, including faces, doors, stairs, cross walks, traffic lights, potholes and other obstacles. The system then provides real-time feedback to the user via an audio interface, enabling them to navigate indoor and outdoor environments safely and independently. The use of artificial intelligence in this system is particularly significant, as it enables the system to adapt and improve over time based on user feedback and additional data. That means, the system can continuously improve its performance and accuracy, ultimately resulting in a more effective and reliable tool for visually impaired individuals. The authors have also evaluated the system in a real-world setting, demonstrating its effectiveness in assisting visually impaired individuals with indoor navigation. Overall, the proposed system has the potential to significantly enhance the quality of life for visually impaired individuals, showcasing the transformative power of artificial intelligence in addressing real-world challenges.