1. ACIP Nathan Bossart Joe Mayer RASCAL ACIP

2. 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)

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

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

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

6. Timeline Update RASCAL ACIP

7. 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] http://www.cs.columbia.edu/~jebara/htmlpapers/UTHESIS/node14.html October 29, 2013 [7] http://cubesat.slu.edu/AstroLab/SLU-03__Rascal.html October 31, 2013 [8] http://docs.opencv.org/ 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," 2010 11th IEEE Internation Conference On Industrial Informatics, pp. 596-601, July 29, 2013. [11] http://hamsterworks.co.nz/mediawiki/index.php/OV7670_camera February 10th, 2014 RASCAL ACIP

8. Questions? RASCAL ACIP