RISKS AND MITIGATION
- There are two potential risks that may impact the success of our project. Firstly, after beginning integration between the facial recognition system and the hardware system (the coat rack), we noticed that the facial recognition system would not recognize users with the level of accuracy that we expected. In some situations, users were already checked-in and wanted to check out would be checked-in again. We suspect that this is a result of the way the facial recognition system is trained, and have therefore, begun testing other implementations. Secondly, the coat rack is not yet able to sustain the amount of weight that we have initially targeted, 20 pounds. The holding torque of the Nema 17 motors is not high enough, so although the rotation works well when only coats are placed on the hooks, it does not work well when heavier items, like small backpacks are placed. As a result, we have bought a Nema 34 motor, which has a holding torque that we expect would be able to satisfy our use case requirements. In addition to changing the motor, we have also considered limiting the hooks on each to to 10-15 pounds, which would still allow users to place a wide range of items on the rack.
REQUIREMENT CHANGES
- We are considering changing the weight requirement for our system from 20 pounds to 10-15 pounds. This change has not yet been finalized, however, as we expect the Nema 34 motor to be able to satisfy our initial design requirement.
SCHEDULE
- Our schedule has remained the same. Changing the motors will not require significant work, so it can be done as we work on the integration between the software and hardware components. As of now, we are working on finalizing the facial recognition algorithm so that it can satisfy our use case requirements. This involves ensuring that users can be accurately defined, and that users are only identified when they are a distance of less than 0.5 m from the camera.