Raspberry Pi Camera with OBJECT DETECTION ABILITY

Inspiration: HackUMass had a huge hardware library and we saw the potential to make use of a Raspberry Pi to make our project. We also saw this as a learning opportunity

What it does: Our project uses a Raspberry Pi along with its Camera Module to click a picture and then use the Python code and API to describe it in text onto the LCD

How we built it: We used a Raspberry Pi 3 along with its Camera Module by downloading the Raspberry OS onto a micro SD card. We connected the LCD and Raspberry Pi together using a breadboard along with a capacitor to control the contrast. We added the code for our project along with the Microsoft Computer Vision API to the the Raspberry Pi and then tested it to make sure it works

Challenges we ran into:

Here are some of the primary challenges that we ran into:

1. The camera module for the Raspberry Pi did not work initially. We got help from a mentor and finally figured out that the Hardware Acceleration/Glamour Acceleration was disabled and had to be enabled for the module to work.
2. The contrast of the LCD was high and we could not see the text displayed on the screen. We got some help, and learnt that we had to use a capacitor and breadboard to modify the level of contrast
3. The code we were using was an open source code, however we had to make a lot of changes and do some debugging to make it work in accordance to our project.

Accomplishments that we're proud of: We did not give up and made the project work.

What we learned: While making our project, we learned how to use a breadboard, the functioning of a Raspberry Pi and a lot about electronics in general.

What's next for Raspberry Pi Camera with OBJECT DETECTION ABILITY: Better Code

Built With

• microsoft
• python