Abstract: This paper presents the conceptualization of Smart Night-Vision Glasses, an innovative assistive device aimed at individuals with night blindness and Retinitis Pigmentosa (RP). These conditions, characterized by significant difficulty in seeing in low-light or dark environments, currently have no effective medical solution. The proposed glasses utilize advanced sensor technologies such as LiDAR, infrared, and ultrasonic sensors, combined with artificial intelligence (AI), to create a real-time, visual representation of the surroundings. Unlike conventional camera-based systems, which require light to function, this device relies on non-visible, non-harmful rays to detect environmental data, making it suitable for use in pitch-dark conditions. The AI processes the sensor data to generate a simplified, user-friendly view of the environment, outlined with clear, cartoon-like visuals for easy identification of objects, obstacles, and surfaces. The glasses are designed to look like regular prescription eyewear, ensuring comfort and discretion, while a button or trigger can switch them to "night mode" for enhanced vision in low-light settings. This concept aims to improve the independence, safety, and quality of life for individuals with night blindness and RP, offering a transformative solution where no medical alternatives currently exist. However, challenges such as sensor miniaturization, power consumption, and AI integration must be addressed for successful implementation. Beyond its direct benefits for users, the device could have broader societal and economic impacts by enhancing accessibility, reducing nighttime accidents, and fostering technological innovation in assistive wearables. The paper also discusses future directions for research and refinement of the technology while supporting the Process Innovation.

Shaheer Hussain Qazi and M. Batumalay, “Smart Night-Vision Glasses with AI and Sensor Technology for Night Blindness and Retinitis Pigmentosa” International Journal of Advanced Computer Science and Applications(IJACSA), 16(2), 2025. http://dx.doi.org/10.14569/IJACSA.2025.0160295

@article{Qazi2025,
title = {Smart Night-Vision Glasses with AI and Sensor Technology for Night Blindness and Retinitis Pigmentosa},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160295},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160295},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {2},
author = {Shaheer Hussain Qazi and M. Batumalay}
}