Ben Schaeffer Gehad Shaat Jessie Truong Nathen Upperman Tin Nguyen Portland State University - Winter 2011

 Introduction to Einstein  What we did and what we used  Image Processing  Software management Portland State University - Winter 2011

BeforeAfter

Portland State University - Winter 2011

 Bluetooth API and implementation  Servo controller application  Android application (robot remote control) with voice recognition  object and human detection application  Text-to-speech  Integration of all previously mentioned component into einsteinBrain  Efficient Power system  CUDA & TBB base program Portland State University - Winter 2011

 IDE ◦ Visual studio 2008 (developing C++ application) ◦ RobotC (developing NXT application) ◦ Appinventor ( developing android application)  Libraries ◦ OpenCv 2.2 C/C++ ◦.NET C++ Framework ◦ CUDA toolkit ◦ NVIDIA Performance Primitives (NPP) library ◦ GPU Computing SDK ◦ TBB (Threading Building Blocks)  Hardware ◦ NXT ◦ Maestro servo controller ◦ DC motors with Hitechnic controller ◦ self-built power distribution system ◦ 16 V battery  Subversion for managing resources and documents Portland State University - Winter 2011

 Use neural network to improve Einstein's Artificial intelligence  Make him better good looking!  replace NXT with a powerful microcontroller  more balanced weight of the body  improve power efficiency  add wireless camera  add more sensors & stereo camera  replace the neck motor with servo  use of CUDA & TBB to improve speed Portland State University - Winter 2011

 We did the following processing on images ◦ Find colored objects ◦ Detect how many beats per minutes for a drumstick ◦ Face detection with area estimation Portland State University - Winter 2011

 Load the picture normally  Upload to gpu  Process image using GPU functions src = imread("file.jpg", CV_LOAD_IMAGE_GRAYSCALE); GpuSrc.upload(src); cv::gpu::matchTemplate(GpuSrc,GpuTmplt,GpuDst, CV_TM_CCORR_NORMED); Portland State University - Winter 2011

Power solutions are critical. Camera choice is important. Organize all SW components early. Design for speed!