In terms of safety, GateGuard mitigates risks associated with getting lost, and accidental trespassing in restricted areas. Traditional methods, such as relying on assistance from airport staff, can be inconsistent and unreliable. In terms of social factors, we are making sure that GateGuard is as inconspicuous as possible for visual appeal. We are also making sure that the device promotes independent mobility, which can inspire confidence to our users. In terms of economics, we have to make sure that for the users, the device provides a cost-effective alternative to other methods, such as hiring a travel assistant.
Opalina’s Status Report 2/15
- I downloaded and tested YOLO v5 and OpenCV on my local machine, and researched ways to adjust and train the model to suit our purpose.
- Tested the camera and its field of view, used printed airport signs to test clarity and ease of detection. In these tests, I found that the user’s waist would be an appropriate location for the camera, providing ease of use as well as wide coverage.
Daniel Kim’s Status Report 2/8
After receiving feedback for our project during the presentation, we’ve agreed to meet next week to discuss what we have researched and discovered. As promised in the slides, I started to review existing AI object detection models. So far YOLO v8 model seems to impress. I’ve learned that at least 10k images would be needed, so this is something to keep in mind moving forward.
Opalina’s Status Report 2/8
I presented the project proposal, received feedback, and edited the scope of the project to ensure feasibility. Additionally, I researched OpenCV and methods to train our model to ensure accuracy and usability of the finished product.
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.