Inventory Management in Food
School Name
Center for Advanced Technical Studies
Grade Level
11th Grade
Presentation Topic
Computer Science
Presentation Type
Non-Mentored
Abstract
Our project deals with inventory management. We focus on the amount left, and the amount is gone. We wanted to create a product that could analyze how much inventory is being taken and create a list of all the items gone. We started by discussing multiple approaches to the problem by trying to find the most automated way. We had an app idea, the PI camera, and using RFID tracking. We came down to the final two options, the PI camera, and the RFID tracking because they could automatically tell when items were missing or present. Our group has software knowledge, so PI cameras would be the best to use because we could program them to analyze the inventory. Once we decided, we focused on the programming and created the cameras to analyze the stock. Then we created an app that puts the information the cameras gathered into an organized list. We have a “grocery list,” which shows what's missing and the quantity that is gone. We also have the normal inventory of all the products still present. We then hooked up the cameras to a prototype fridge where it would mock a regular home fridge. Then we put everyday household fridge items in there and ensured the items were efficiently recognized and could be seen as present or absent.
Recommended Citation
Pearson, Lucas and Fulkerson, Aiden, "Inventory Management in Food" (2023). South Carolina Junior Academy of Science. 24.
https://scholarexchange.furman.edu/scjas/2023/all/24
Location
ECL 105
Start Date
3-25-2023 9:30 AM
Presentation Format
Oral Only
Group Project
Yes
Inventory Management in Food
ECL 105
Our project deals with inventory management. We focus on the amount left, and the amount is gone. We wanted to create a product that could analyze how much inventory is being taken and create a list of all the items gone. We started by discussing multiple approaches to the problem by trying to find the most automated way. We had an app idea, the PI camera, and using RFID tracking. We came down to the final two options, the PI camera, and the RFID tracking because they could automatically tell when items were missing or present. Our group has software knowledge, so PI cameras would be the best to use because we could program them to analyze the inventory. Once we decided, we focused on the programming and created the cameras to analyze the stock. Then we created an app that puts the information the cameras gathered into an organized list. We have a “grocery list,” which shows what's missing and the quantity that is gone. We also have the normal inventory of all the products still present. We then hooked up the cameras to a prototype fridge where it would mock a regular home fridge. Then we put everyday household fridge items in there and ensured the items were efficiently recognized and could be seen as present or absent.
