• M.Bhargavi
• K.Supriya
• Ch.Mounika
• M.Shanmukha Akhil
• M.Mouli

Blind Navigation Support System using Raspberry Pi & YOLO integrates various sensors and modules to aid visually impaired individuals in safe navigation through walkways. The system incorporates a soil moisture sensor to assess wet conditions, an ultrasonic sensor for obstacle detection, a push button for emergency situations, a GPS module for acquiring latitude and longitude coordinates, and a GSM module for sending SMS alerts. Upon detecting an obstacle, the system utilizes a camera and earphones to announce the object's name via the YOLO (You Only Look Once) algorithm. Additionally the temperature and heartbeat sensor will able to measure the vital signs of the user. And also the solar panel is placed in the project which represents the charging of the battery.The inclusion of a GPS module enhances the system's functionality by providing accurate location data, allowing users to navigate with confidence and facilitating rescue operations if necessary. Additionally, the integration of the YOLO algorithm with a camera and earphones enables real-time object recognition, empowering users with information about their surroundings. Overall, the Blind Navigation Support System offers a comprehensive solution to enhance the safety and autonomy of visually impaired individuals, leveraging Raspberry Pi's versatility and YOLO's robust object recognition capabilities.

Raspberry Pi, Yolo Algorithm,GSM,GPS,Web Camera,Ear Phones,Ir sensor,ultrasonic sensor, Push button. _________________________________

"BLIND NAVIGATION SUPPORT SYSTEM USING RASPBERRY PI AND YOLO(OPEN CV)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 4, page no.p417-p419, April-2024, Available :http://www.jetir.org/papers/JETIR2404G51.pdf

"BLIND NAVIGATION SUPPORT SYSTEM USING RASPBERRY PI AND YOLO(OPEN CV)", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 4, page no. ppp417-p419, April-2024, Available at : http://www.jetir.org/papers/JETIR2404G51.pdf