Ankita’s Status Report 4/27/24

Ankita’s Status Report 4/27/24

Work Done This week, I spent most of the time conducting initial tests (for latency and accuracy of the object detection model, which I did by evaluating the performance of the model on 3 different videos of the intersection and ~100 frames) and working on 

Ankita’s Status Report for 4/20/24

Ankita’s Status Report for 4/20/24

Work Done I ordered the new IP camera/portable batteries and they came in this week, so after getting the demo ready for pre-recorded videos at the intersection I will test the object detection model on the live video feed (after looking at tutorials/examples online that 

Ankita’s Status Report for 4/6/24

Ankita’s Status Report for 4/6/24

Work Done I did manage to get a faster object detection model (found in this Git repo) – it’s a YOLOv3 model (so a bit less accurate than the YOLOv4, but it works for our purposes and is less computationally intensive.) This model is also 

Ankita’s Status Report for 3/30/24

Ankita’s Status Report for 3/30/24

Work Done Due to the amount of time needed to tag positive and negative images for the Haar classifier (last week it took 4+ hours to tag ~60 images, and to train a better classifier I would probably want 200-300) I thought it would be 

Ankita’s Status Report for 3/23/24

Ankita’s Status Report for 3/23/24

Work Done I finished tagging the positive and negative images needed to train the vehicle classifier from traffic camera footage as well as the footage Zina retrieved for me from the Fifth and Craig intersection. Unfortunately the commands I would use to train the classifier 

Ankita’s Status Report for 3/16/24

Ankita’s Status Report for 3/16/24

Work Done I started tagging the positive and negative images needed to train the vehicle classifier from traffic camera footage — I’m still waiting on some footage from the Fifth and Craig intersection from Zina to add more images to the training dataset and then 

Ankita’s Status Report for 3/9/24

Ankita’s Status Report for 3/9/24

Work Done Last week, I along with our group members worked on and completed our 12-page design report. I completed the design requirements, block diagrams, and summary, as well as the architectural, implementation, testing, and trade study descriptions of the camera interfacing with the Raspberry 

Ankita’s Status Report for 2/24/24

Ankita’s Status Report for 2/24/24

Work Done This week, I prepared for and gave the design review presentation for my group. I also made some progress on the car detection code, but I realized that we will probably need to train our own Haar cascade, since the ones I found 

Ankita’s Status Report for 2/17/24

Ankita’s Status Report for 2/17/24

Work Done This week, I contributed to the design review presentation with the rest of my group members (the hardware implementation plan, testing approaches, and system specification/block diagram.) I also tried to set up the Raspberry Pi and IP camera (unfortunately, we’re waiting on the 

Ankita’s Status Report for 2/10/24

Ankita’s Status Report for 2/10/24

Work Done This week, I helped out with the proposal presentation slides and did some implementation planning and parts research, particularly for the camera setup. In particular, I made the solution approach and testing, verification, and metrics slides (with input from my team members to