What did you personally accomplish this week on the project?*
– Finish testing subsystems
– Work on the final poster with Ke
– Work on the final demo video
– Start drafting final report
Is your progress on schedule or behind?*
My progress is currently on schedule
What deliverables do you hope to complete in the next week?*
Finish all the documents and demo videos.
ruizhezh’s status report for 04/30
What did you personally accomplish this week on the project?
Worked on and presented Final presentation slides.
Worked on AWS integration with plate recognitions and currently testing the subsystem for real-world scenarios.
Is your progress on schedule or behind?
Not within schedule. Working to help XuKe to improve the plate recognition system.
What deliverables do you hope to complete in the next week?
Final demo poster, final demo video, further testing and integration of the visual system followed with more testing on the entire system.
Team Status Report for 04/23
For this week, our team’s concentration is on the implementation of a high-accuracy ML model for plate recognition. The previous OpenCV model, although can be run on Pi, is not robust enough for low-resolution pictures taken with our cameras. We’ve completed the implementation of the model, and we’re working on the communication between CV component and AWS server, and testing the latency. For next week, we’ll mostly focus on the integration of all subsystems with this new ML model. And we’ll start to work on the final poster, and develop testing plan for our final demo video.
Yuxin’s Status Report for 04/23
What did you personally accomplish this week on the project?
- Completed the testing and integration of ultrasound and navigation subsystems.
- Scaled up the subsystems for final demo.
- Helped with the literature research of ML model for CV functionality.
- Designing the testing plan for final prototype.
Is your progress on schedule or behind?
My progress is currently on schedule
What deliverables do you hope to complete in the next week?
I plan to help with the preparation of slides for final demo and work on the final poster for next week.
Ke Xu’s status report for 04/23
What did you personally accomplish this week on the project?
Finished implementing ML algorithm for plate recognition
Setting up environments on AWS server and testing response time
Is your progress on schedule or behind?
My progress is on schedule. Even though our previous OpenCV algorithm works, but we find that ML model has much better accuracy. I will finish integrating ML model into our project before the final demo.
What deliverables do you hope to complete in the next week?
Integrate the ML model part into our project
Work on the transfer of images from pi to AWS server
ruizhezh’s status report for 04/23
What did you personally accomplish this week on the project?
Worked with XuKe on migrating the Graphic Recognition Pipeline to AWS servers.
Is your progress on schedule or behind?
Not within schedule. Working to help XuKe.
What deliverables do you hope to complete in the next week?
Final presentation slides;
AWS integration with plate recognitions;
Yuxin’s Status Report for 04/16
What did you personally accomplish this week on the project?
Made multiple modifications of the script that controls the LED strip.
Test delay and accuracy of ultrasound sensor subsystem. Test I/O with server. Discuss with team about OpenCV backup plan.
Is your progress on schedule or behind?
My progress is currently on schedule
What deliverables do you hope to complete in the next week?
I plan to finish testing of ultrasound/LED subsystems next week. And I’ll help with the OpenCV part if needed.
Team Status Report for 04/16
For this week, the biggest risk is still OpenCV. The current algorithm doesn’t have sufficient accuracy possibly due to low resolution camera. After talking with Prof. Kim, we temporarily gave up on including car color as an additional feature to recognize cars. Instead, we’ve tried multiple preprocessing techniques that may enhance image quality before feeding into the model (detail in Ke’s report). Currently, the most feasible plan is to send images to the server and process plate recognition with more advanced model on the server side. Meanwhile, we’re also working on the navigation algorithm as advised by Prof. Kim. The change of plan mostly comes from the limitation of OpenCV algorithm, and server side also needs to be modified to accommodate the image processing component.
Ke Xu’s status report for 04/16
What did you personally accomplish this week on the project?
Tried sharpening the images
Tried color recognition algorithm
Researched ML algorithm for plate recognition
Implementing ML algorithm for plate recognition
Is your progress on schedule or behind?
My part is behind schedule because of poor performance of plate recognition algorithm during test situation. As discussed with Professor Kim and TA Manny, I tried sharpening the image, but it does not work well. So we decide to upload the image to AWS server and run ML algorithm for plate recognition.
What deliverables do you hope to complete in the next week?
Finish ML algorithm for plate recognition. Set up environment on AWS server for ML algorithm and integrate it to our project.
ruizhezh’s Status Report for 04/16
What did you personally accomplish this week on the project?
Worked on integrating all parts of the parking management software system;
Worked on revising the navigation system as per advised by Professor Kim; Not finished but making progress;
Worked on finding the source of some communication issues and potential racing conditions;
Also worked on helping XuKe with his OpenCV part to speed up his progress.
Is your progress on schedule or behind?
My progress is behind due to
- Still blocked on XuKe’s OpenCV plate visual recognition development. There is a very high rate of inaccuracy, which will hinder the success and function of our system; same as last week, still NOT resolved 🙁 , also causing extra work load as we revised plan to put graphics processing on AWS servers, and I am the only person familiar with AWS systems.
- I am facing some issues and bugs here and there. I am working to solve them.
What deliverables do you hope to complete in the next week?
Planning to get revised navigation system fully functional and fully tested.
Planning to work with XuKe on migrating the Graphic Recognition Pipeline to AWS servers.