FPGA-based architectures for Computer vision applications"
Start: Oct.28, 2013 9.30
End: Oct.31, 2013, 9.30
Location: The BioRobotics Institute, viale Piaggio 34, Pontedera, ROOM 2
Smart cameras combine video sensing, processing, and communication on a single embedded platform. This course focuses on the architecture of smart camera and more precisely on FPGA-based processing element. The development of computer vision components (HW and SW) in smart cameras is a particularly challenging task. The nature of embedded devices limits the computational power available to the applications. The limitations of the memory and I/O systems are often more severe since they hinder the processing of large image data. Implementing and debugging on an embedded device pose several challenges –- particularly when computation is outsourced to a FPGA.
In this course, an introduction to smart camera presents an overview of the actual technologies. In a second step, I will focus my talk on FPGA architecture. What is an FPGA device? How does it work? Advantages and drawbacks... In a series of lab sessions, I propose an initiation to VHDL coding and FPGA programming.
Monday Oct.28 from 9.30 to 12.30
Tuesday Oct.29 from 9.30 to 13.30
Wednesday Oct.30 from 9.30 to 13.30
Thursday Oct.31 from 9.30 to 13.30
MAXIMUM 15 PARTICIPANTS ALLOWED