What are the most significant risks that could jeopardize the success of the project? How are these risks being managed? What contingency plans are ready?
The most significant risks to our project is getting the machine learning model to real-time speed. In particular, the YOLOv8 architecture can achieve real-time speed on the Jetson Orin Nano however it has been noted it is incredibly frustrating to do so as it is careful speed and accuracy tradeoff analysis. To mitigate this risk, the model not being fast enough, we need to approach the speed and accuracy tradeoff analysis very meticulous, in particular we plan to have a detail log that we can reference to determine the sweet point for our use case.
Were any changes made to the existing design of the system (requirements, block diagram, system spec, etc)? Why was this change necessary, what costs does the change incur, and how will these costs be mitigated going forward?
There are no current changes made to the existing design of the system.
Provide an updated schedule if changes have occurred.
There are no schedule changes as of now.