Risk Mitigation
Now that we are training several models to go through with our CV algorithms, we realized that due to time constraints, it is imperative that we get this done as soon as possible. To do this, we are using YOLOv8, which is very user friendly, and we are training models from datasets that are publicly available whenever possible. For example, we are training models from datasets of shopping carts that are publicly available and of datasets of grocery store items that are publicly available in order to save time.
Design Changes
Nothing has changed about our design. We are still implementing throughput calculations for cashiers, relative fullness calculations for carts, and detecting how many people are lined up in the same manner as was determined before spring break in our design report.
Schedule Changes
Our Gantt chart remains unchanged from before.