I created a PoC for live descriptions of the surroundings for the blind
The difference in cost between products that are developed as accessibility tools compared to consumer products is huge. One example is camera glasses where the accessibility product costs ~$3000 (Envision Glasses), and the consumer product costs ~$300 (Ray-Ban Meta). In this case the Ray-Ban Meta is getting accessibility features. The functionality is promising according to reviews, but requires the user to say "Hey meta what am I looking at" every time a scene is to be described. The battery life seem underwhelming as well. It would be nice to have an cheap and open source alternative to…
In plain words
This project is an open-source proof of concept for real-time audio descriptions of surroundings designed for blind users. Built with an ESP32 WiFi camera and Arduino development, it aims to provide a lower-cost alternative to specialized accessibility devices costing thousands of dollars. Unlike commercial solutions that require voice commands for each description, this system continuously provides information to the user, with code available on GitHub.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
The difference in cost between products that are developed as accessibility tools compared to consumer products is huge. One example is camera glasses where the accessibility product costs ~$3000 (Envision Glasses), and the consumer product costs ~$300 (Ray-Ban Meta). In this case the Ray-Ban Meta is getting accessibility features. The functionality is promising according to reviews, but requires the user to say "Hey meta what am I looking at" every time a scene is to be described. The battery life seem underwhelming as well. It would be nice to have an cheap and open source alternative to the currently available products, where the user gets fed information rather than continuously requesting it. This is where I got interested to see if I could create a solution using an ESP32 WiFi camera, and learn some arduino development in the process. I managed to create a solution where the camera connects to the phone "personal hotspot", and publishes an image every 7 seconds to an online server, which then uses the gpt-4o-mini model to describe the image and update a web page, that is read back to the user using voice synthesis. The latency for this is less than 2 seconds, and is generally faster. I am happy with the result and learnt a lot, but I think I will pause this project for now. At least until some shiny new tech emerges (cheaper open source camera glasses).
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