I started working on the CAD model and physical design of our product. I’ve also continued working setting up the raspberry pi and integrating the camera. This camera has been challenging to work with.
Krrish’s Status Report 02/15
I’ve ordered the remaining hardware components, including the AI accelerator board and micro SD card. I also collected the camera and Raspberry Pi. The camera is operational, and I successfully obtained an RGB video stream. However, I’m encountering issues with retrieving depth data and selecting different modes. While I found several Python wrappers for the camera, installation has been challenging. Additionally, I discovered a ROS package that may be necessary to access all its features. I plan to explore these options further in the coming week.
Team Status Report 2/8
As a team we’ve narrowed our scope so that it’s just navigating from after security to the boarding gate. We feel that before security there’s too many variables in airport layouts, signs and procedures. We realize that’s an important part of the process, however, it might be too much to tackle in our time frame.
We’ve also created a bill of materials. We went through the ECE inventory and requested a depth camera and a raspberry pi 4. We chose this over the jetson since it’s lighter and requires less power.
Krrish Jain Status Report for 2/8
I followed up with the Disabilities department at Pitt regarding connecting us with students who could help us in our research for our project. I also reached out to the Pennsylvania Association for the Blind. Our hope is that we can understand how people with visual impairments currently navigate airports so we can build a device that can integrate with their lifestyle. We want to also understand what the hardest part of their journey is and how we can make it easier.