Well, this is more of a 1.5-week report, instead of a week, and I got several things done. They were all short tasks. 1) Completion of Server Integration Jeffrey had integrated my testing server into his final server. So both of us sat together and …
I did not get to work as much on capstone this week due to exams and other deadlines, but I did manage to get some things done: 1) Testing of Clutter Detection I had taken a bunch of images last week, so this week I …
This week, we were able to add more functionality to our hub by making it be able to perform bilateration to understand the location of the wearables. On top of that, Jeffrey also made the hub more robust and debugged the message passing interface between the peripherals and the hub. David added a wifi breakout board to our camera, to help with bilateration. On top of that, he started writing the driver for the wearable. Shivani, did the testing of clutter detection this week, and started updating the server with components of the test server. The image receiving is still buggy and needs debugging. But our server has a lot more features than before.
This week was about beginning integrating and improving the clutter detection code. 1) Establishing the Protocol between Server and Client Note: Client = RPI Zero W / Camera ; Server = Hub Jeffrey and I sat down and established how the server and client would …
We had to present a demo this coming week, so I got my protocol working, and wrote down code to display for the demo. 1) Sending Images from Client to Server The biggest issue I had this week was being able to send the image …
This week, we made major headway on the hub and embedded fronts. We were able to connect the button to the hub and mimic the wearable to send location scan data, which the hub was able to parse. On a separate note, we were also able to perform background subtraction for the first time. Now what remains is running both the wearable and button concurrently, creating a GUI for the server, implementing a simplified form of trilateration due to some misunderstandings of trilateration, and integrating image detection.
This week, I spent a lot of time at the site of testing our device(my teammates’ house), and managed to accomplish a bunch of things regarding the actual protocol of the image transfer. 1) Capturing Image over a sequence of time and preprocessing This base …
I have been having carpal tunnel issues for a while, and this week it aggravated beyond control so I had to visit the doctor. I was given a hand brace, to help posture my wrist better. This has affected my efficiency as, I can’t type …
This week I set up a remote desktop on the Raspberry Pi Zero W with a VNC viewer, to be able to see the input from the camera. And started taking pictures of the platform we have designated as our initial clutter test zone. Initially, the camera input was blurred, so spent a while getting the camera into focus. Once that was done, I uploaded my code to take pictures of images with the camera every few minutes, and to subtract the image with the initial background image, to create a foreground mask.
At this point, two major things are left to be done with computer vision:
– Send data from Raspberry Pi Zero W to Raspberry Pi 4
– Process data in RPi4 with a timestamp and the ability to check if the same object was moved across the counter.
This week I was working on the design review presentation and working on the algorithm to outline the object detection. For the design review presentation, I made specific slides for each component that we have and updated it with the progress my teammates had made …