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Browsing AIML by Author "ABIKP ΙΝΗ21Α1004 ALWYN A INH21EC015 NEELUS INH21A1065 HITHESH GUFTHA V INHZ1EC967"

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    Assistive vision: action detection and alert system for the visually impaired using deep learning and IoT
    (NHCE, 2025) ABIKP ΙΝΗ21Α1004 ALWYN A INH21EC015 NEELUS INH21A1065 HITHESH GUFTHA V INHZ1EC967
    For visually impaired people around the world, navigating in complex situations independently and safely continues to be a major difficulty. Over 2.2 billion people worldwide suffer from some kind of vision impairment, according to the World Health Organization, and millions of them rely significantly on assistive technology to go around. In addition to limiting one's freedom of movement, visual impairments have a significant impact on one's self-esteem, independence, and general quality of life. Although they have inherent limitations, traditional aids such as guiding dogs and white canes have long been the main equipment for mobility support. A white cane, for example, can provide tactile feedback to identify barriers in close vicinity, but it is unable to recognize risks that are far away or dynamic, such as moving cars, uneven terrain, or quickly shifting environments. In the same way, guiding dogs, Despite being priceless friends, they are expensive and not always available because of the substantial resources and training needed. The drawbacks of these conventional aids underscore the pressing need for creative, technologically advanced solutions that might provide improved safety, mobility, and situational awareness. Unprecedented chances to solve these issues have been made possible by recent developments in the domains of artificial intelligence (AI), notably deep learning, and the Internet of Things (IoT). This project presents the "Intelligent Blind Stick," a state-ofthe- art assistive technology solution that combines cutting-edge deep learning algorithms with Internet of Things devices to empower visually impaired people. The main objective of the system is to provide users with emergency support, predictive alarms, and real-time feedback so they may move through their environment more confidently and independently.