Object Detection and Recognition Using TensorFlow for Blind People

Computer Vision impairment or blindness is one such top ten disabilities in humans, and unfortunately, India has the world’s largest visually impaired population. For this we are creating a framework to guide the visually impaired on object detecting and recognition, so that they can navigate without others support, and be safe within their surroundings. In this system the captured image is taken and sent it as input using camera. SSD Architecture is used here for the detection of objects based on deep neural networks to make precise detection. This input will be given to the software and it will be processed under the COCO datasets which are predefined in the Tensor flow library used as training dataset for the system in general this data set consist of features for nighty percent of real world data objects and distance is calculated by depth estimation and also by using voice assistance packages the software will produce the output in the way of Audio. The System is implemented completely using Python Programming Language since python consist of many inbuilt packages and libraries which will make the complication of writing code more number of lines into simple any less number of lines.