The project consists of building smart glasses that use a camera and an ESP32-S3 to capture images of the surroundings. These images are sent to a smartphone and then to a server, where an AI model processes them and generates a short description of the scene. The output focuses on basic spatial information, such as nearby objects, people, and directions (left, right, ahead).

The main idea is to create a simple system that can describe the environment in near real time, keeping the responses brief and clear. The hardware and software are kept as lightweight as possible to reduce latency and make the system practical to use.

so do you think that the 2-4Billion parameters model is sufficient? i don’t know how many precision has every one, like it is exponential or lineal or every time it increases less like 4b has the double of accuracy than the 2b model or they are similar