This week we received our first shipment of parts including a memory card for the pi and an ultrasonic sensor. I installed Raspbian on our pi and began setting it up with sensors. Setup the camera using raspistill and as a team we tested the camera. We simulated jogging with the camera sensor and captured images. We tested for latency, blurriness with movement and focal length would meet our ranges for this project. The focal length worked, the camera has…
Started the week going through tutorials on how to make iOS apps with Xcode and started making the basic app. I think I’m getting a decent grasp on it, but before I spent too much time on that, I transitioned back to looking at sensors and helping with getting that stuff off the ground before the design proposal. I’m not very concerned with my ability to put an app together and I am more concerned about our sensors and being…
I was once again a bit limited this week in terms of screen time, etc. as I am returning from a concussion, but was able to use that time to start the object recognition work for the project. I installed Python and OpenCV and got them all set up. I started to read through the documentation for OpenCV, and work through the following tutorial to start getting a feel for it’s capabilities: https://opencv-python-tutroals.readthedocs.io/en/latest/py_tutorials/py_tutorials.html I downloaded several initial training images of runner’s,…
This week I had a concussion, as discussed with the instructors, so my ability to work on the project was very limited. Nonetheless I was still able to discuss the project with my group in class and complete tasks that didn’t involve extensive use of a computer screen. I designed the user interface for our iOS application that connects to our wearable and constantly transmits information from the wearable to a user’s headphones as depicted below. I additionally helped pick…
What did you personally accomplish this week on the project? Give files or photos that demonstrate your progress. Prove to the reader that you put sufficient effort into the project over the course of the week (12+ hours). Ordered first round of parts. The URM37 Ultrasonic Sensor V5.0 (http://wiki.dfrobot.com/URM37_V5.0_Ultrasonic_Sensor_SKU_SEN0001_ Raspberry Pi ) and a Micro SD Card (https://amzn.to/2WXbS8G). The ultrasonic sensor was researched to have specification in our range of needs, but we are looking to test it properly ourselves…
The Group What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready? The walker/runner’s movement is to violent for the sensors to gain accurate readings: We are working on a more secure way to mount the sensors, pi, and battery pack to the user. We are looking at a more secure lightweight chest harness design for the sensors that maximizes stability. Then a waist harness,…
Theia is a CMU ECE Capstone Project designed and implemented by Evan Compton, William Mitchell, and Alli Scibisz. Pedestrians across the country are plugged in, listening to music or podcasts, hearing the news, and making phone calls as they walk and run. While this can promote exercise and increase productivity, it decreases the pedestrian’s awareness of the environment around them, making them susceptible to accidents with cars, bikers, and other pedestrians. The goal of Theia is to help these pedestrians…