Inspiration
All Mechanical Engineering students at UMD are required to take a CAD course which is usually taught by Professor Zhang. One story that he told during class was about his color blindness. A student asked him how he deals with driving and he explained that at intersections, he usually just follows what the other cars are doing. But he said that if he happened to be the first car in the lineup, he knew whether to go or not based on the order in which the lights are placed on the stoplight. However, when he was explaining this, he mixed up where the red and green lights are placed, leading to some concern.
Even though many color blind people manage to drive and work despite not seeing all colors, having a device to accurately identify colors could increase safety.
What it does
The color corrector uses a Raspberry-Pi camera to take pictures of its environment and average the RGB values of the image. Based on the color ratios, an LCD screen prints the corresponding colors for the user to read.
What we learned
We learned how to set up a Raspberry Pi and connect to it via ethernet.
What's next for Color Corrector
Eventually, the hope is to incorporate blob detection so that the image could instead be projected onto a screen or a glasses attachment and print the correct color next the object image so that it would me easier for the device to be integrated into the user's lifestyle. Additionally, this product should be extended to detect more similar colors.
Built With
- camera
- lcd
- opencv
- python
- raspberry-pi
