This week we tried to get all of our stuff running together integrated on the pi. The first issue that occurred is when running my cv stuff on the pi, we realized that it was very slow (despite being very fast on my computer), as it took 17 seconds on the pi and only 1 second on my laptop. So I re-wrote all of the cv stuff to be the exact same algorithm I had but very efficient (I had…
The app is officially in working order! Definitely tons of room to improve, but our end to end system is now functional. It does not yet make a noise for notification, but I know how to do that so that shouldn’t be too difficult to implement. Spent a lot of time on Saturday walking around campus with Evan testing the whole system. Also spent a good amount of time working on the presentation. Next week will likely include finishing the…
This week I fixed up the car part of the algorithm to check multiple regions for of the cropped image for cars. Other than that I continued to tweak the initial cropping box parameters and add in online training data. I also helped Alli with getting her App on her phone. I’m not sure we will have time to collect a lot of training data with our wearable (It’s hard to do that without the other two parts of the…
This week has shown solid progress in the area of bluetooth communication. There is now a node js program that runs on the raspberry pi that creates a bluetooth service that is accessible on an iphone using a bluetooth scanner app that can run a script to start a python program and collect the results from that and transmit that to the iphone. Unfortunately, the javascript method only seems to get output from the python file upon completion, which obviously…
This week I added in car’s to my algorithm, which really pretty much completed the core tech of the object recognition part of the project (all that’s left is pretty much adding training data and tweaking the parameters). I also fixed a few bugs I found in some of the knn stuff when testing. Me and Alli also went around with our wearable and took a bunch of pictures in different locations of runners and cars, which has helped me…
After doing the reading assignment, I was able to focus on my work a lot this week. I completely implemented a nodejs program using bleno to create the bluetooth services that I need, since the ones that are available on the raspberry pi built in will not work for our purposes. Initial testing with a BLE scanner app allows me to connect to the pi and use these services, so I have successfully transmitted data to and from the raspberry…
Sensor Issues This week I ran into a bit of a hurdle with the sensors. I would seemingly randomly get consistently false data (MAX_RANGE_VALUE) from the sensors that could be removed from restarting. It seemed to come from just one sensor, but to make it more difficult the port a sensor is plugged into does not correlate to the scanner port in the code. Ultimately I found that two sensors were stuck in configuarion mode and doing a factory reset…
This week was spent getting the project far enough for the demo. I wrote the section picking algorithm for runners and biker’s, by implementing a knn influenced machine learning algorithm for picking the section most similar to the runner training images, and picking the section most similar to the biker images (total euclidean distance of closest k points), and going with the closer of the two. I also spent a good bit of time getting my stuff set up on…
DEMO This week we presented our demo, we were able to each demonstrate our individual parts, but we were not far enough along into integration to demo working together. I presented, three lidars working in conjunction, the 3d printed mount, and a very basic lidar detection algorithm Wearable Worked on having the wearable be self-sustained. Meaning integrating the Pi and battery pack into the belt. And wiring the sensors from the chest harness to the pi. (pictured below). Bolted the…
Spent the beginning of the week trying to get bluetooth communication ready to demo, only to realize the framework that I have been using will not be able to work for what we need. I finally figured out the details of the bluetooth peripherals built in to the raspberry pi (its documentation is sketchy at best), and I do not believe there is any way to send a script from the iOS application to start our program on the raspberry…