• Pooja Dhake
• Prof. Dhanashri Patil
• Omkar Waingade
• Vishwajeet Pawar

Object identification plays a vital role in the independence and navigation of visually impaired individuals. This paper presents an innovative approach to object identification for the blind using the You Only Look Once (YOLO) V3 algorithm. YOLO V3, a real-time object detection algorithm, leverages deep learning and convolutional neural networks to accurately identify objects in images or video frames. By harnessing the power of YOLO V3, a wearable and portable device can be developed to empower blind individuals in understanding their surroundings. The device captures real-time video, which is processed by YOLO V3's efficient architecture, enabling rapid and accurate object detection. Once an object is identified, the system provides auditory or tactile feedback to the user, conveying essential information about the object's class.

Android Application, YOLO V3, Alert App Feed Forward Pass , CNN.

"Object Identification for Blind Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 5, page no.n463-n467, May-2023, Available :http://www.jetir.org/papers/JETIR2305D67.pdf

"Object Identification for Blind Using Machine Learning ", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 5, page no. ppn463-n467, May-2023, Available at : http://www.jetir.org/papers/JETIR2305D67.pdf