ArcelorMittal

Wagon UID

Highlights

Client_

ArcelorMittal is the world’s largest steel manufacturer, leading the global market in steel products for the automotive industry, construction, packaging, and home appliances.

Project Objective_

The primary goal of this project was to enhance the logistic process and tracking of moving train compositions with wagons. The system designed aims at automating the data reading from the wagons and enabling the tracking of these moving compositions. This improvement in wagon management processes is expected to save time and minimize the risk of errors.

Solution Delivered_

Achievements module

Providing data on available achievements within the system.
Assigning achievements to system users – learners.
Issuing microcredentials in image form and their revocation.
Mass issuance of microcredentials integrated with the LMS system.
Email notifications for users.

Statistics module

Collecting global statistics, e.g., the number of skills acquired by users.
Collecting average statistics, e.g., the average number of skills acquired by users.
Collecting personalized user statistics, e.g., the number of skills acquired by a user compared to the user average.

Technologies and Methodologies_

Python
PyTorch
OpenCV
NumPy
Pandas
Sklearn

Benefits of the Solution_

Process automation
Eliminates the need for a physical presence of an employee at the pass-through location for number reading
Capability for real-time analysis

Project Team_

3x AI Developers (with Backend Engineering skills)

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