Developed an AI-powered solution combining computer vision and OCR to identify railway components and simplify spare-parts searches. The project included data preparation and tools for continuously enriching the component reference dataset.
During my Data Scientist internship at the Moroccan High-Speed Train Maintenance Company, I worked on digitalizing the identification and search process for railway components.
The project focused on using computer vision and optical character recognition (OCR) to support component identification and improve access to spare-parts information.
I developed an AI-based solution that combined visual recognition with workflows for data collection, annotation, preparation, and management.
The solution also included tools for expanding the reference dataset and automatically integrating new component references.
The work aimed to reduce identification errors and improve efficiency in maintenance and spare-parts management.
Shared fields: Computer Vision, Industrial AI
Developed an AI-powered visual inspection solution to detect residue on phosphate wagons, using real-time video analysis. The system includes an application for inspection configuration, result analysis, and KPI monitoring.
Shared fields: Computer Vision
Designed and deployed a low-cost embedded driving assistance system that recognizes Moroccan traffic signs in real time and provides multilingual voice guidance to help drivers stay informed while reducing visual distraction.