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Kaya’s Status Report for 2/8

Kaya’s Status Report for 02/01:

This week, I focused on the first presentation we had to give. The slides I specifically focused on were the testing, verification, metrics, and part of the solution approach slide. Additionally, I was the student who presented on behalf of our group so I made sure I understood each slide in depth and practiced presenting the presentation confidently several times (presentation: Team_A7_Akinci_Meah_Voelkl). After presenting, I listened to everyone’s feedback and factored in their input for the development of the cane.

After presenting, I focused on going through the parts document, helping my teammates navigate through the paper. As for this upcoming week, I plan on getting started understanding the Jetson Nano ORIN. I am planning to take a deep dive with Maya into the configuration of this Jetson. The specific deliverables I plan on having are:

  • Set up Jetson Nano environment and troubleshoot any problems that come up.
  • Creating a log of errors and their solutions or other procedural notes that we will need in the future.

As for our progress, we are definitely on track.

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Team Status Report for 2/8

This week, our team presented our first proposal, conducted additional research, and wrote a few requests for the equipment. Currently, the only risks that could jeopardize our project success are if we picked a type of Jetson that can’t configure properly later with our camera or if our power requirements are too high for the planned battery setup. We are managing the risks by ensuring we have backup equipment planned, including alternative options for the camera, sensors, power supply, and microcontroller. An updated schedule will be we will have to add an additional week just for finding and configuring any new equipment.

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Website Introduction

Traditional white canes help detect obstacles, while walking canes provide stability, but using both at the same time limits independence. Our project aims to create a smart walking cane that offers both stability and obstacle detection, allowing users to confidently navigate their environment with one hand free. Our cane will integrate a LiDAR sensor and a camera to detect nearby objects, curbs, and elevation changes. A pressure sensor will determine when the cane is in contact with the ground to account for excess user movement. When an object is detected, the system will provide feedback, alerting the user of the obstacles.