The main risk we saw this week was the weight of the camera attachment being too heavy. We felt like it was much heavier than we expected the attachment to be, but we feel like it still does not pose a major welfare risk to the user as it stands. However, we will need to make additional weight calculations once we attach the component box, and the buttons to the hardware subsystem. If these additional components are too heavy, we will look into getting different buttons, or perhaps even attaching some components outside of the glasses attachment – perhaps use some handheld buttons instead of having them on the glasses. However, the risk is currently being managed by choosing low density materials for the rest of the components, specifically the component box.
A smaller risk continues to be the accuracy of the ML model. We have started looking more into the graph description models, and will change the type of model and the amount of data we train it with in order to mitigate these risks. We have been choosing the specific type of model to manage risks preemptively, because some ML models require much more data than we have the capacity for.
We are currently in the process of implementing our design, and have not made any changes to the design of the system, and no schedule changes have occurred.
The JSON shows that we have been able to go through the Canvas security handshake and receive a response about the location of the file we are extracting.
We were also able to create test instructor Canvas courses.