Currently, the most significant risk that could jeopardize the success of the project is the integration between the web application that visualizes the list of user items inside the backpack and the Bluetooth reader that determines whether the tagged item is inside the backpack. Moreover, because we have the interim demo coming in two weeks, we need to demonstrate that this functionality is fully working to ensure our success for the project. To manage these risks, we are doing extensive research on the Web Bluetooth API and communicating with Bluetooth devices so that we can quickly resolve problems that that arise during integration, both from solutions found by other users published online or alternative implementations that are available, such as having an additional Bluetooth reader. In preparation for integration, each of us have been testing each component incrementally and individually. For the web application, Janet has been testing the web application using dummy items and information so that communication with the Bluetooth scanner is not needed. For the Bluetooth scanner part, Aaron has been testing the Bluetooth scanner independently to check the robustness of the tagged item detection. For the item recognition part, Joon has been testing the CNN model on his machine so when the test is correctly done, the integration is done with the item registration part of the web application.
There is a change made to the existing design of the system. As stated in Aaron’s Status Report for 4/3, we have found that the onboard Bluetooth controller is actually disabled if the OS detects a separate USB adapter. Therefore, we have decided not to use the built-in adapter for the distance pruning of the tagged items. Instead, we have decided to use an array of 4 external USB Bluetooth adapters to determine the tag location. While this will require more of our budget to be used and require more power consumption, we believe that this will enhance the accuracy of our distance pruning algorithm and is worth the tradeoff.
The schedule for the item recognition part has been changed to account for the training of the CNN model for the item recognition and the testing plan for the CNN model is pushed back (but before the interim demo) to account for the integration with the web application and the interim demo. Additionally, we have added more time for Aaron to incorporate the additional Bluetooth adapters, and have pushed back implementing the power-saving sleep feature. The updated schedule is found here.