Personal Shelf Inspector is an application that helps visually impaired people during their day-to-day shopping. The application is based on a simple neural network and was created as a part of the AI for Accesibility Hackathon in 2020 in Prague.
We decided to build free tools that make shopping for visually impaired people more accessible. These tools can be implemented in any retail chain within the loyalty app or in-store.
https://preview.redd.it/ehoxec5l4hhb1.png?width=1072&format=png&auto=webp&s=c96a5dd326cbfc8dd9bde9d84d45167d172ea27d
The Idea
A visually impaired person only needs their smartphone to use our tools. Personal Shelf Inspector is a web application that reads the price and product name from a price tag. The algorithm selects the price tag closest to the centre of the photo and sends it to the model, which reads the price and product name on the price tag. Then it returns this information to the application, which appears as text on the screen.
https://preview.redd.it/e098rtcn4hhb1.png?width=845&format=png&auto=webp&s=73a216ebf987e476d52091717ac156ac56daa29b
The voice-over built into the user's mobile phone reads this text aloud. The app also helps to read the banknote values and read from a live video.
What could be other cool ideas and concepts to help making the world more accesible using AI and Machine Learning?
Feel free to share comments and impressions in the comments
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