Three New Robots and AI Football Analysis System Unveiled at University of Birjand
During the opening ceremony of the Provincial Student Technological Sports Olympiad, the University of Birjand showcased three innovative robots and an artificial intelligence system for football performance analysis and prediction on Sunday, December 30, 2024.
The event, attended by the university president, student affairs deputy, faculty members, and students, featured several groundbreaking technological developments:
Autonomous Vehicle Project
A 1:10 scale autonomous electric vehicle, developed by doctoral student Hamed Jafari and master's student Mohadese Mezginejad from the Electrical-Control Engineering department, demonstrates advanced capabilities including lane following, traffic sign recognition, right-of-way observation, parking, and emergency braking. The system, which utilizes cameras, sensors, and custom image processing software, has shown promising results in laboratory tests and potential for implementation in full-scale passenger vehicles.
Rock Climbing Robot
This innovative robot, created by electrical engineering Ph.D. student Mohammad Javad Tavakoli and mechanical engineering students Amirhossein Hodanluyi and Mohammad Norouzi, employs centrifugal force within a vortex suction mechanism to achieve adhesion. The robot's applications include emergency response, oil tank inspection, leak detection, and surface cleaning, even on glass surfaces, without requiring magnetic components.
Four-Wheeled Soccer Robot
Electrical engineering undergraduate students Reza Mohammadi Molasarani, Ali Samimi Kalati, and Ali Ziaei developed this sophisticated robot featuring a lightweight aluminum construction and four controllable omnidirectional wheels. The robot incorporates ZGA 25 RP motors (12W, 300 RPM) and advanced sensors including color sensors, infrared sensors, and distance sensors for real-time decision-making and environmental adaptation.
Line Follower Robot
Computer science undergraduate students Saba Lotfi and Elham Dehghani designed this robot utilizing a five-channel TCRT5000L infrared sensor system. The robot effectively tracks lines through optical sensing and dual-motor control, adjusting its path based on surface reflectivity differences.
AI Football Analysis System
Developed by electrical engineering Ph.D. student Mohammad Javad Tavakoli, this system combines computer vision and machine learning to analyze football matches. It tracks players, identifies teams, and analyzes factors such as ball possession and player speed. The system processes video data from cameras to provide comprehensive insights into player and team performance, with applications in visual analysis, match outcome prediction, and skill development.
These innovations demonstrate the University of Birjand's commitment to advancing technological research and development in robotics and artificial intelligence, particularly in sports-related applications.
