ACIP Nathan Bossart Joe Mayer RASCAL ACIP

Background and Current Status RASCAL ACIP Boeing and SSRL Defining Mission Additional Constraints Sensor Software verification completed Test Cubesat and test data created Test camera obtained and functioning (in hardware)

Deliverables Hardware Accelerated IP System Video Sensor Data: Distance Velocity Classification & Recognition Latency < 50 ms Throughput 30fps RASCAL ACIP

Implementation Video In Custom Logic/HLS VDMA CPU (OpenCV and Hardware Configuration) VDMA Video Out RASCAL ACIP Xilinx XAPP1167

Testing Sensor Result Error Ranges Latency and Throughput Calculations Custom Logic HLS OpenCV Testbench Hardware Signal Analysis RASCAL ACIP

Timeline Update RASCAL ACIP

Bibliography [1] Jan Erik Solem, Programming Computer Vision with Python. Creative Commons. [2] Dr. Ebel, Conversation [3] Dr. Fritts, Conversation [4] Dr. Mitchell, Conversation [5] Milan Sonka, Vaclav Hlavac, Roger Boyle, Image Processing, Analysis, and Machine Vision. Cengage Learning; 3rd edition. [6] October 29, 2013 [7] October 31, 2013 [8] November 11, 2013 [9] Gary Bradski, Adrian Kaehler, Learning OpenCV: Computer Vision with the OpenCV Library. O’Reilly Media, Inc.; 1st edition. [10] Matthew Russell, Scott Fischaber, " OpenCV Based Road Sign Recognition on Zynq," th IEEE Internation Conference On Industrial Informatics, pp , July 29, [11] February 10th, 2014 RASCAL ACIP

Questions? RASCAL ACIP