https://github.com/concaption/pepsico-lab-potato-chips-quality-control
A lot of research is being done to improve the quality of the food. Frito-Lay is the subsidiary of Pepsico that makes globally famous potato chips. The chips get burnt due to during the process. There is a minimum requirement for the amount of the burned or damaged part that can be on a chip. As a PepsiCo intern, you are advised to build a deep learning-based approach towards solving the quality issues of potato chips. You are advised to find the area of the chips that is damaged. Also research about other chips quality control methods that are being researched in academia and industry.
https://github.com/concaption/pepsico-lab-potato-chips-quality-control
deeplearning tensorflow
Last synced: about 1 year ago
JSON representation
A lot of research is being done to improve the quality of the food. Frito-Lay is the subsidiary of Pepsico that makes globally famous potato chips. The chips get burnt due to during the process. There is a minimum requirement for the amount of the burned or damaged part that can be on a chip. As a PepsiCo intern, you are advised to build a deep learning-based approach towards solving the quality issues of potato chips. You are advised to find the area of the chips that is damaged. Also research about other chips quality control methods that are being researched in academia and industry.
- Host: GitHub
- URL: https://github.com/concaption/pepsico-lab-potato-chips-quality-control
- Owner: concaption
- Created: 2022-01-03T09:36:54.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-10-05T19:36:51.000Z (over 2 years ago)
- Last Synced: 2025-04-28T11:16:56.456Z (about 1 year ago)
- Topics: deeplearning, tensorflow
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/concaption/pepsico-lab-potato-quality-control
- Size: 3.54 MB
- Stars: 7
- Watchers: 1
- Forks: 1
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
PepsiCo-Lab-Potato-Quality-Control
A deep learning based approach to inspecting the quality of the potato using impages gained through a Jetson Nano enabled classifier.

[](http://makeapullrequest.com)
[](https://github.com/ellerbrock/open-source-badges/)
[](https://lbesson.mit-license.org/)
## Installation steps
Clone the Repo and install the requirements
```
git clone https://github.com/concaption/PepsiCo-Lab-Potato-Quality-Control
.git
cd PepsiCo-Lab-Potato-Quality-Control
```
## Architecture

## Author
You can get in touch with me on my LinkedIn Profile:
#### Usama Navid
[](https://www.linkedin.com/in/concaption)
You can also follow my GitHub Profile to stay updated about my latest projects: [](https://github.com/concaption)
If you liked the repo then kindly support it by giving it a star ⭐!
## THings to do
* Deploy it on jetson Nano.
* Make a CAD model for the sorting device.
## Contributions Welcome
[](#)
If you find any bug in the code or have any improvements in mind then feel free to generate a pull request.