Enhancing mobility for the visually impaired with artificial intelligence and machine learning in IKSHANA.

Autor: Rathod, Praveen, Kavya, D. N., Gupta, Atul, Kaliappan, S., Pavithra, G., Manjunath, T. C.
Předmět:
Zdroj: AIP Conference Proceedings; 2024, Vol. 3149 Issue 1, p1-7, 7p
Abstrakt: This paper explores the utilization of Artificial Intelligence and Machine Learning algorithms to empower visually impaired individuals, enabling satisfactory movement in their daily lives. The research focuses on enhancing the lives of the visually impaired by addressing challenges they face in unexpected situations. In today's highly technological society, the need for independent living is crucial, especially for visually impaired individuals who often experience social exclusion detection of objects, facial based recognitions, emotion-based recognitions, currency-based recognitions, web type automations, screen readings & emergency callings, we enhance the quality of life for the visually impaired. Implemented through ML, DL, speech to text & vice-versa, Selenium based web type automation frameworks, these technologies empower individuals to effectively adapt and respond to their environment. [ABSTRACT FROM AUTHOR]
Databáze: Complementary Index