Institute for Data Processing and Electronics (IPE)
Area of research:
Diploma & Master Thesis
IPE has developed a modular scientific streaming camera platform. In this thesis the number of available image sensor boards should be extended by a new high-speed image sensor module. The high-end CMOS sensors can record 300 frames per second with a full resolution of 12 Megapixel. Due to the large amount of data being recorded with this sensor the existing acquisition system based on an FPGA need to be extended. Data should be to transfer directly to Graphics Processor Units (GPU) bypassing the local CPU memory. The GPU finally will be used to perform application specific fast real-time data processing.Study image sensor interfaces and design the image sensor board.Implement the FPGA firmware to control the CMOS sensor.Extend the FPGA readout infrastructure by machine vision methods for image data analysis. Utilize the on-board ARM processor and the FPGA with the xfOpenCV toolkit.
<!--[if !supportLists]-->Knowledge in C and Verilog/VHDL (basic)Design of Printed Circuit Boards (PCBs) is a plusOptional: Experience with CMOS sensor
According to the study regulations
Dr. Ing. Michele Caselle, Institute IPE
Telefon: 0721/608-25903 (email@example.com)