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future

Since the start of the project, Ability Tech voiced their wish to have something that they could continue working with after the project was finished. The prototype developed, though functional, would not be the most efficient way of detecting Andrei’s gaze, and can serve as a base for a more developed prototype. The proposed solution, an eye recognition software, would likely be more precise in detecting his eyes, which would make using the button more comfortable. 

The software to run it was developed during the project, but in order to make it functional some further steps would have to be taken by Ability Tech:

  • Defining the positive and negative images using pictures of Andrei’s eyes, and pictures taken in positions that the sensor should not detect it (the negative images);

  • Connecting the camera module to the Raspberry Pi Pico, so that it can be used to get pictures of Andrei in real time instead of a computer camera;

  • Uploading the program to the Raspberry Pi Pico together with a power unit, and placing it on Andrei’s wheelchair.

After these steps, Ability Tech would then have to test the camera and eye recognition with Andrei, and adjust the negative images depending on the arm positioning that is more fitting. By testing they would also be able to check if the Person Sensor or the software function better with Andrei, and make adjustments to the prototype accordingly.

Ability Tech also voiced an interest in having a modular button that could be used in other wheelchairs. If they wish to explore this aspect further, they would also be recommended to test the arm prototype in different wheelchairs available to check if any alterations would be necessary.

Another next step would be regarding the art on the side of the arm: Andrei could make new custom art for the magnet size to have different options to choose from, and could possibly sell the magnets as merchandise on his website.

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