Smart Assistant for Visually Impaired People

Abstract: It is difficult for blind persons to move around. While traditional white canes only offer 3D space assistance and do not inform the user of oncoming objects, potholes, waterways, flames or slopes. In this paper, we have so far developed the filter blind stick with an Arduino UNO and different sensors, such as the fire sensor, water sensor, depth sensor, and ultrasonic sensor, to detect heat, water, and obstacles in the user's path. The new proposed system improves mobility, safety, and independence of blind individuals. Smart assistant for visually impaired is designed to process the data in real-time which helps the user identify the obstacles in the way and warn at the earliest time via voice so that the user can walk more confidently. The use of several sensors guarantees broad hazard detection, reducing risk in both indoor and outdoor settings. The addition of LED indicators and a switch improves usability too. The device utilizes an Arduino Uno microcontroller, an APR9600-based 8-channel voice module, and four environmental sensors—fire, water, depth, and ultrasonic—to detect hazards. The system issues real-time voice alerts via a speaker and sends GPS location details through a GSM core board module. Power is regulated using a buck converter, ensuring efficiency and portability. The prototype emphasizes accessibility, low cost, and ease of use, with potential applications in both urban and rural areas. This research proposes a cost-effective, smart assistant device designed to increase situational awareness and safety for visually impaired persons.