Little Caesars Pizza Quality Evaluator
dc.contributor.author | Akcay, Batuhan | |
dc.contributor.author | Alptekin, Susie | |
dc.contributor.author | Ji, Ziyang | |
dc.contributor.author | Li, Kevin | |
dc.contributor.author | Yao, Yue | |
dc.contributor.author | Yoo, Ran | |
dc.date.accessioned | 2021-04-29T19:12:12Z | |
dc.date.available | 2021-04-29T19:12:12Z | |
dc.date.issued | 2020 | |
dc.identifier.uri | https://hdl.handle.net/2027.42/167246 | |
dc.identifier.uri | https://youtu.be/Kp-QOyMni_I | |
dc.description.abstract | Little Caesar Enterprises Inc. is the third-largest pizza chain in the United States. It operates and franchises pizza restaurants internationally. Little Caesars strives to always deliver the best pizzas to its customer. However, it is not easy to maintain consistency in quality at every place and every time. One way to tackle this problem is to establish an automated pizza quality checking process. Our team uses Image Analysis and Computer Vision to help Little Caesars accomplish this goal. In the past year, we created a system that performs quality checking after pizzas come out of the oven and detects bad quality pizzas before being served to customers. The system is also connected to an online web application that offers real-time specific feedback to Little Caesars employees regarding the pizza quality. Employees are able to make changes as per the advice. | |
dc.subject | Machine Learning | |
dc.subject | Computer Vision | |
dc.subject | Little Caesars | |
dc.title | Little Caesars Pizza Quality Evaluator | |
dc.type | Technical Report | |
dc.subject.hlbtoplevel | Engineering | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/167246/1/Honors_Final_Report-Ziyang_Ji.pdf | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/167246/2/Honors_Capstone_Slides-Ziyang_Ji.pptx | |
dc.identifier.doi | https://dx.doi.org/10.7302/921 | |
dc.working.doi | 10.7302/921 | en |
dc.owningcollname | Honors Program, The College of Engineering |
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