• Kaushik C
• Kavya K S
• Kavana M L
• Kushal Gowda P M
• Janardhana SY

The Smart Blind system empowers visually impaired individuals with real-time object recognition and an SOS feature. It uses a Raspberry Pi and Pi Camera to capture the environment, processing images via a COCO-based machine learning model. Detected objects are conveyed through eSpeak text-to-speech audio feedback. An SOS button linked to an Arduino retrieves GPS-based location data, sending it to caretakers via a GSM module for emergencies. This system enhances independence and safety by integrating machine learning, GPS, and GSM for intuitive functionality. Future upgrades may include ultrasonic sensors and voice recognition, further improving its utility for visually impaired users.

Object Detection, Raspberry Pi, Arduino UNO, SOS, Visually Impaired, Machine Learning, GSM, GPS, eSpeak, COCO Dataset

"Voice-Guided Navigation System with SOS and Obstacle Detection for Enhanced Mobility in Visually Impaired Individuals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.12, Issue 5, page no.h459-h467, May-2025, Available :http://www.jetir.org/papers/JETIR2505843.pdf

"Voice-Guided Navigation System with SOS and Obstacle Detection for Enhanced Mobility in Visually Impaired Individuals", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.12, Issue 5, page no. pph459-h467, May-2025, Available at : http://www.jetir.org/papers/JETIR2505843.pdf