This week, our team focused on preparing our design presentation and report. We collaborated on designing slides, creating speaker notes, and beginning the writing process for the Introduction and Machine Learning documentation in our design report.
In terms of progress on our project’s design component, we made significant strides. We experimented with Support Vector Machines (SVMs), GoogLeNet, and ChatGPT’s API to optimize our classification results. We conducted tests on SVM formulations, continued building our dataset, and explored using GoogLeNet for image classification. Additionally, we tested ChatGPT4’s ability to read labels, which proved to be highly accurate.
Throughout the week, we didn’t encounter any major complications. However, I acknowledge that I could have contributed more to designing the physical product and creating the box. Moving forward, I aim to gain more hands-on experience with the physical design process while finalizing the Machine Learning algorithms (Steven).
Regarding the design presentation, we addressed key considerations such as project implementation, load cell amplifiers, food item differentiation, validation metrics, and backend complexity. We’re now focusing on completing the design report, which will require a deeper understanding of our project’s development procedures. For instance, we will use our block diagram and implementation plan to devise a more descriptive architecture plan. We will also put more efforts towards connecting initial public health/safety/welfare, social, and economic factors we want our product to solve to the formulation of this solution. Of course, many tradeoffs emerge with designing an engineering solution, so we will dive into these considerations through our testing experience so far and feedback we have received from peers during our proposal and design presentations.
In terms of hardware-related risk mitigation strategies, we’re addressing concerns such as buffer overflow, data loss, recovery, and mismatched baud rates. We plan to implement control mechanisms for buffer overflow, backup data on nonvolatile memory for data loss recovery, and ensure proper synchronization of baud rates.
Overall, our progress is on track. We’re aiming to complete the imaging component of the project by Spring break, with each team member making significant contributions to their respective tasks.