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Cynthia’s Status Report for 2/15

Accomplishments:

This week, I worked mainly on our Design Review presentation.  I worked on the Use Case Requirements, Technical Challenges, and Implementation Plan.  Specifically, I researched more into the differences between using CV for obstacles vs creating a simple algorithm utilizing the depth and distance detection of the L515 LiDAR Camera for object classification and added this differentiation to our presentation.  Additionally, I created the Top Level Design flow chart and the diagram for the cane.  I am additionally preparing to present our slides on Monday.  I also researched the main libraries I will be using to implement the object detection and to gather the distance information needed, specifically the libraries OpenCV, TensorFlow object detection API, RealsenseCamera, and pyRealSense2.

Progress:

Our project is on schedule.  We are meeting on Sunday to start initialization.

Future Deliverables:

I will present this week, then we will be working on the written report for the Design Review.  Additionally, we should have our Jetson Nano initialized by the end of the week and possibly pseudocode for the CV.

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Cynthia’s Status Report for 2/8

This week my main two focuses were the quantitative aspects of the proposal presentation slides and the research behind the possible microcontrollers we could use.  For the presentation, I mainly worked on the quantitative Use-Case Requirements, Solution Approach, and Metrics sections, researching what we should base values such as detection range on.  For researching microcontrollers, I specifically did a comparison between Raspberry Pi 4, Raspberry Pi 5, NVIDIA Jetson ORIN Nano, NVIDIA Jetson ORIN Nano, NVIDIA Jetson XAVIER, NVIDIA Jetson Nano 4GB, and NVIDIA Jetson Nano 2GB to determine that the NVIDIA Jetson ORIN Nano is ideal for our project given our performance, weight, power supply, and power efficiency requirements.  We then received this microcontroller from the inventory.

I am on schedule, since our main plan this week was to obtain the individual parts needed for our project.

In the next week I hope to discover how the data from the LiDAR camera is formatted and I hope to determine the libraries I will use to process and analyze the photo stream.  I additionally plan to start researching existing object detection code and determining general pseudocode for my algorithm.