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This is a vision enhancer based module specifically for the BLIND VICTIMS. The system is designed in such a way in which the blind person can take the help of THIRD PARTY APPLICATION which sends Real Time Frames to the LAPTOP-BASED WIRELESS NETWORKED SYSTEM. It works on REAL-TIME OBJECT DETECTION using SSD_MOBILENET algorithm and TENSORFLOW APIs . It has a core feature of approximate distance calculation and Voice - Based wireless feedack generation w.r.t the DISTANCE CALCULATION. It makes the work of Blind easy,efficient and reliable by sending wireless Voice based feedback whether the particular object is either too close to him or is it at a safer distance. The same system can be used from Obstacle Detection
Visually impaired people are more likely to be fooled by shrewd chemists. No one focuses on this problem but it exists in our society. To stop people from getting cheated, our vision is to design a tool that can update the off-the-shelf inventory by just scanning the images of medicines The proposed solution is used to extract some basic but important details from that package of medicine like name of that medicine, manufacturing date, expiry date, MRP(maximum retail price) of that medicine and convert them to speech format. We propose a model to detect and recognize the text from the images and convert them into speech using a deep learning framework.
Models and examples built with TensorFlow
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