On the computer vision side, we’re able to run our OpenCV model on raspberry pi for plate recognition (detail in Ke’s report). The plate recognition is not 100% accurate (there can be addition/deletion/mismatch of letters in the result). To address this issue, we plan to match cars to plate numbers by comparing similarity score.
On the server side, the management part is mostly finished with blanks left to fill during testing and OpenCV integration. The design of navigation software is finished, and the design of data importation is ongoing (detail in Ruizhe’s report) . Race conditions may be possible for HTTP requests coming in at the same time. Solution to this is still under investigation but should be manageable.
On the hardware side, multiple sensors were successfully connected with Raspberry Pi to measure distance with adequate accuracy.
There’s no major modification of the system design, and we’re currently on schedule.