• Vikuntam Hari krishna
• M.Naga Keerthi

Real time object detection is a vast, vibrant and complex area of computer vision. If there is a single object to be detected in an image, it is known as Image Localization and if there are multiple objects in an image, then it is Object detection. Object detection detects the semantic objects of a class objects using OpenCV (Open Source Computer Vision), which is a library of programming functions mainly trained towards real time computer vision in digital images and videos. Visually challenged people cannot distinguish the objects around them. The main aim behind this real time object detection is to help the blind to overcome their difficulty. This detects the semantic objects of a class in digital images and videos and Deep Neural Networks were used to predict the objects and uses Google’s famous Text-To-Speech (GTTS) API module for the anticipated voice output precisely detecting the applications of real time object detection include tracking objects, video surveillance, pedestrian detection, people counting, self-driving cars, face detection, ball tracking in sports and many more. Our system incorporates Google's Text-To-Speech (GTTS) API module to provide real-time voice output, enabling visually impaired users to receive auditory cues about the detected objects. This enhances their situational awareness and helps them navigate their surroundings safely. Convolution NeuralNetworks is a representative tool of Deep Learning to detect objects using OpenCV (Opensource Computer Vision), which is a library of programming functions mainly aimed at Realtime computer vision. Real-time object detection using Deep Neural Networks and OpenCV holds immense potential to improve accessibility and enhance the quality of life for visually impaired individuals.

Object detection , Deep Learning, Convolutional Neural Networks (CNNs), Voice feedback, Accessibility, Real-time detection, Computer vision, Audio processing.

"Object Detection with voice feedback", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 7, page no.g195-g201, July-2024, Available :http://www.jetir.org/papers/JETIR2407624.pdf

"Object Detection with voice feedback", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 7, page no. ppg195-g201, July-2024, Available at : http://www.jetir.org/papers/JETIR2407624.pdf