The initiative organized by Wrocław University of Science and Technology is part of the curriculum for full-time students at two faculties: the Faculty of Information and Communication Technology and the Faculty of Electronics, Photonics and Microsystems. We are grateful to the organizers for the opportunity to participate in this project.

The main objective of the program is to introduce young engineers to real-world technical challenges defined by industry. It allows students to verify their ability to analyze such problems and evaluate their effectiveness in developing solutions, while also testing their teamwork and collaboration skills.

Neurosoft has prepared two projects. The first task, Vehicle Detector, focuses on developing a neural, vision-based detector of selected vehicle components intended for the Neurocar system. The detector should enable the identification of a selected set of elements (e.g., the outline of the entire vehicle, license plates, special plates, wheels, driver, passenger, etc.).

The second task, Traffic Monitor, aims to design, implement, and validate a method for the automatic detection of anomalies in data generated by vehicle traffic monitoring stations operated by the General Directorate for National Roads and Motorways (GDDKiA). This project will also involve the application of artificial neural networks.

More information about the projects can be found on the organizer’s website: Team Projects Conference.