Amine A.

Development of a platform for automatic detection of visual anomalies on web interfaces using Machine Learning.

Design of a complete interface analysis pipeline: automated crawling, website screenshot 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 specificities. Deployment and functional testing of the application on a remote server, with the writing of analysis reports to adjust the pipeline and improve anomaly management.

Upgrading a cartoning machine controlled by a Siemens PLC. Implementation of a new packaging system and addition of a camera for image processing. Integration of functionalities for detecting and ejecting 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.