<div dir="ltr">Carl,<div> That was my take on it also.</div><div><br></div><div>Regards,</div><div>Doug P.</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Nov 30, 2017 at 6:48 PM, Carl Ott <span dir="ltr"><<a href="mailto:carl.ott.jr@gmail.com" target="_blank">carl.ott.jr@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Although I actually haven't bothered to read the exact details of what the Google Kit does... ;-)<div><br></div><div>as I understand it, this Movidius VPU has silicon neural nets optimized for full rate / full frame vision processing, with power requirements suitable for small battery powered things...</div><div><br></div><div>At the CES demo, they gave the impression that the host Pi would 'do little more than' set up the VPU, serve a video stream, and harvest results...</div><div><br></div><div>For our SmartCamBot, we could have used one of these to process the image locally, instead of having to rely on a network connected neural net running on IBM Watson. Except that, for that hackathon, using Watson was one of the prized criteria...</div><div><br></div><div>For DPRG, it seems likely this could revolutionize the challenge of spotting an orange can...</div><div><br></div><div>Just saying... </div><div><br></div><div>I'm out to try new approaches...</div><span class="HOEnZb"><font color="#888888"><div><br></div><div>Carl</div><div><br></div><div><br></div><div><br></div></font></span></div><div class="HOEnZb"><div class="h5"><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Nov 30, 2017 at 6:38 PM, Doug Paradis <span dir="ltr"><<a href="mailto:paradug@gmail.com" target="_blank">paradug@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr">Carl,<div> Does this unit use the Zero's WiFi to send data to your laptop? What exactly does "local image processing" mean?</div><div><br></div><div>Regards,</div><div>Doug P.</div></div><div class="gmail_extra"><br><div class="gmail_quote">On Thu, Nov 30, 2017 at 6:23 PM, Carl Ott <span dir="ltr"><<a href="mailto:carl.ott.jr@gmail.com" target="_blank">carl.ott.jr@gmail.com</a>></span> wrote:<br><blockquote class="gmail_quote" style="margin:0 0 0 .8ex;border-left:1px #ccc solid;padding-left:1ex"><div dir="ltr"><div>I've been waiting for an eval kit like this since CES in January, when <span style="color:rgb(43,45,50);font-family:arial,helvetica,sans-serif">Dave Ackley and I saw</span><span style="color:rgb(43,45,50);font-family:arial,helvetica,sans-serif"> a cool demo using the neural net based Movidius VPU - albeit that one was packaged as a USB compute stick. This version runs on a bonnet for Raspberry Pi Zero W:</span></div><div><br></div><blockquote style="margin:0px 0px 0px 40px;border:none;padding:0px"><div><span style="color:rgb(43,45,50);font-family:"Guardian TextEgyp",serif"><i>The VisionBonnet circuit board has an Intel Movidius MA2450 low-power vision processing unit, which can run neural network models right on the device. You'll get software, too, which has three TensorFlow-based neural network models: one to recognize a thousand common objects, another that can recognize faces and expressions and a third that can detect people, cats and dogs. </i></span></div><div><span style="color:rgb(43,45,50);font-family:"Guardian TextEgyp",serif"><br></span></div></blockquote><font color="#2b2d32" face="arial, helvetica, sans-serif">Check this out:</font><blockquote style="margin:0px 0px 0px 40px;border:none;padding:0px"><div><font color="#2b2d32" face="Guardian TextEgyp, serif"><a href="https://www.movidius.com/solutions/vision-processing-unit" target="_blank">https://www.movidius.com/solut<wbr>ions/vision-processing-unit</a></font></div><div><font color="#2b2d32" face="Guardian TextEgyp, serif"><a href="https://uploads.movidius.com/1463156689-2016-04-29_VPU_ProductBrief.pdf" target="_blank">https://uploads.movidius.com/1<wbr>463156689-2016-04-29_VPU_Produ<wbr>ctBrief.pdf</a></font></div></blockquote><div><div><br></div><div>Pre-Order from Micro-Center</div></div><blockquote style="margin:0 0 0 40px;border:none;padding:0px"><div><div><a href="https://www.engadget.com/2017/11/30/google-diy-ai-camera-kit-raspberry-pi/" rel="noreferrer" style="font-size:12.8px" target="_blank">https://www.engadget.com/2017/<wbr>11/30/google-diy-ai-camera-kit<wbr>-raspberry-pi/</a></div></div><div><div><a href="http://www.microcenter.com/site/content/Google_AIY.aspx?ekw=aiy&rd=1" target="_blank">http://www.microcenter.com/sit<wbr>e/content/Google_AIY.aspx?ekw=<wbr>aiy&rd=1</a></div></div></blockquote><div><div><br></div><div>Oh yeah. </div><div><br></div><div>Google:</div></div><blockquote style="margin:0px 0px 0px 40px;border:none;padding:0px"><div><div><a href="https://aiyprojects.withgoogle.com/vision" target="_blank">https://aiyprojects.withgoogle<wbr>.com/vision</a> </div></div></blockquote><div><div><br></div><div>I suppose, if we wanted to bring the award winning / beer finding SmartCamBot back to life with one of these, we'd have to train it to recognize bottles versus crayons, but that's a small price to pay for real-time / local image processing at this level...</div><div><br></div><div>Who else is in?</div></div><span class="m_-3009529974877575089m_4934174592555786083HOEnZb"><font color="#888888"><div><br></div><div>- Carl</div><div><br></div></font></span></div>
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