The architecture of IoT-based Collaborative Labotatory for Reconfigurable ComputingThesistype: Master Thesis
Contact: M.Sc. Rahed Al Amin (
, Office: H-E003
Description: The past few years have shown that university teaching is possible both purely digitally and hybrid with face-to-face parts. The classical practice of experimenting in the laboratory has been changing radically with the advanced utilization of computers, electronic devices, and the internet. This has given birth to a new concept of laboratory practice called remote lab. Reconfigurable Computing, especially Field-Programmable Gate Arrays (FPGAs) are relatively high-end devices that are not easily shared between multiple users. The project TECY aimed to develop an IoT-based collaborative hybrid laboratory for reconfigurable computing. Through developing a new teaching concept analogous to virtual space and solving tasks in a collaborative manner, real sensors and actuators in the laboratory are to be controlled with IoT. However, video & image processing is the main application of FPGAs. Desired Skills: VHDL, Embedded C Language: English, Duration of the Thesis/Project: Varied The objectives of the project, are to make real-world-based laboratory task which includes, Task Objectives:
1. Investigate the state of the art for IoT-based Laboratory environment. 2. Development of an IoT-based laboratory for Reconfigurable Computing. 3. AI-based Image/video processing with FPGA for traffic light detection and classification. 4. Controlling the Motor speed with FPGA and Raspberry Pi. 5. Analyze and evaluate the human-computer interaction of the TECY laboratory environment.