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.

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