Amine A.

Development of an automatic visual anomaly detection platform on web interfaces using Machine Learning.

Design of a complete interface analysis pipeline: automated crawling, website snapshot capture, and comparison with visual anomaly detection (OpenCV). Implementation of a data collection system with automatic pre-processing. Retraining of the anomaly detection model on a new database adapted to the project's specifics. Deployment and functional testing of the application on a remote server, with the creation of analysis reports to adjust the pipeline and improve anomaly management.

Upgrade of a Siemens PLC-controlled packaging machine. Implementation of a new packaging system and addition of an image processing camera. Integration of functionalities for detecting and rejecting defective products. Reprogramming of the PLC to incorporate these improvements.

Design of the operating scheme and component management. Integration of a new solution with the old pressure regulation system and ensuring communication. Development under LabVIEW to regulate pressure in real-time and improve test accuracy.