Deep Learning Techniques for Real-Time Object Detection and Classification

Object detection has long been a subject of research in computer vision systems. The concept aims to provide vision-impaired persons with independent love by applying object detection. The proposed model is a voice-based system that would aid visually impaired people with their daily routines. The concept combines numerous existing technologies into a single multipurpose model that visually impaired individuals can use. Feature extraction techniques are used to classify objects. The things observed will be used to generate text. The gTTs module is then used to convert the text to voice. Detected objects are converted to speech and transmitted to visually impaired people. The model, which was developed using deep learning techniques, aids blind and visually impaired people in detecting and reaching out to objects in their surroundings.