BUET Brilliance Bags Global Glory in Video Processing
Young innovators from Bangladesh have triumphed on the world stage by excelling in video and image processing technology. They developed groundbreaking methods for detecting airborne drones and identifying payloads carried within them, raising the red-and-green flag high in an international arena.
At the IEEE Video and Image Processing (VIP) Cup 2025, held in Alaska, USA, the Bangladesh University of Engineering and Technology (BUET) team “NeuronX” emerged as the Grand Prize Champion. Their innovative solution, which fused infrared and visual imaging for drone detection, tracking, and payload identification in surveillance videos, impressed the judges and secured the top honor.
Two other BUET teams also earned accolades, jointly finishing as second runners-up. These were “BUET_Sky Sentinel” and “EyeQ.”
Organized by the Signal Processing Society, the competition challenged undergraduate students worldwide to address the complex problem of drone detection with their self-developed models. BUET’s NeuronX stunned the global audience with their performance.
The World Champion team members are Computer Science and Engineering (CSE) students Abrar Zahin Raihan, Ruwad Naswan, Sadman Sakib, Md. Mehedi Hasan Khan, and Md. Sadik Mahmud Sakhor. The team was supervised by BUET CSE Professor Dr. Md. Shamsuzzoha Bayezid and mentored by Md. Asib Rahman.
The BUET_Sky Sentinel team included CSE students H.M. Sadman Tabib, Ishtiak Ahmed Rifti, Md. Hasnain Adil, Mushfiqur Rahman, Sadatul Islam Sadi, Shahriar Kabir, and Zia Ul Ahsan Abdullah. They were supervised by Professor Dr. Chowdhury Md. Rakin Haider and coached by Ahmed Mahir Sultan Rumi.
Meanwhile, the EyeQ team comprised Electrical and Electronic Engineering (EEE) students Asif Hasan, Sudipto Sarker, Khondoker Ashiq Shahriar, Fabliha Labiba, Nahian Tasnim, Adib Rahman, Md. Nazmul Sakib, Md. Rahinur Rahman, Md. Rifat Rahman, and Shah Mostafa Reza. Their supervisor was Professor Dr. Sheikh Anwarul Fattah, with Anjan Kumar Bagchi as their coach.
This year’s competition showcased the BUET students’ cutting-edge model that integrated video and infrared datasets into a unified system capable of detecting drones under realistic conditions, tracking their flight paths, and identifying the types of payloads they carried. Beyond accuracy, the judges highlighted the system’s real-time performance and rapid inference time as decisive factors in awarding the victory.
