Team member(s): Pit Siebenaler, Joseph Naguib, Bora Cobanoglu and Lucas Gottschild
Modified by Pit Siebenaler on
Modified by Pit Siebenaler on
![Training data](https://blog.iaac.net/wp-content/uploads/2023/05/Screenshot-2023-05-02-at-10.14.07-1024x605.png)
![](https://blog.iaac.net/wp-content/uploads/2023/05/Screenshot-2023-05-02-at-10.14.30-1024x513.png)
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![](https://blog.iaac.net/wp-content/uploads/2023/05/Screenshot-2023-05-02-at-10.15.23-1024x470.png)
![](https://blog.iaac.net/wp-content/uploads/2023/05/Screenshot-2023-05-02-at-10.15.38-1024x466.png)
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![](https://blog.iaac.net/wp-content/uploads/2023/05/Screenshot-2023-05-12-at-14.37.42-1024x477.png)
Tags: Artificial Intelligence, Sensors, Python
AI-aided Edge and Grain-detection is a project of IAAC, Institute for Advanced Architecture of Catalonia developed in the Master in Robotics & Advanced Construction 01 - 2022-2023 by the student(s) Pit Siebenaler, Joseph Naguib, Bora Cobanoglu and Lucas Gottschild during the course MRAC01 22/23 Hardware II "Intelligent Sensing and Vision" with Sameer Kishore.