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<title>RoboSavvy Forum</title>
<subtitle>Robosavvy Forum: The largest online community of Humanoid Robot Builders</subtitle>
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<updated>2014-06-03T07:53:24+01:00</updated>

<author><name><![CDATA[RoboSavvy Forum]]></name></author>
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<entry>
<author><name><![CDATA[limor]]></name></author>
<updated>2014-06-03T07:53:24+01:00</updated>
<published>2014-06-03T07:53:24+01:00</published>
<id>http://forum.robosavvy.com/viewtopic.php?t=14017&amp;p=43244#p43244</id>
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<title type="html"><![CDATA[Re: Machine Vision Module]]></title>

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There is also the option of getting a miniature embedded android/linux, linking a webcam and running opencv.<br />Alternatively there's RoboRealm which offloads the processing to a remote Windows PC. The embedded linux only needs to send image frames over wifi.<br />It all depends on the image processing requirements<p>Statistics: Posted by <a href="http://forum.robosavvy.com/memberlist.php?mode=viewprofile&amp;u=2">limor</a> — Tue Jun 03, 2014 7:53 am</p><hr />
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<entry>
<author><name><![CDATA[nicolas gomez]]></name></author>
<updated>2014-04-15T17:37:34+01:00</updated>
<published>2014-04-15T17:37:34+01:00</published>
<id>http://forum.robosavvy.com/viewtopic.php?t=14017&amp;p=43192#p43192</id>
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<title type="html"><![CDATA[Machine Vision Module]]></title>

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Hi all!! here find other options to vision mdule<br /><br /><span style="font-weight: bold">Pixy (CMUcam5)</span><br /><br /><img src="http://charmedlabs.com/default/wp-content/uploads/2013/09/pixy.jpg" alt="Image" /><br /><br /><a href="http://charmedlabs.com/default/?page_id=211" class="postlink">http://charmedlabs.com/default/?page_id=211</a><br /><br />preorder price  $69<br /><br />Technical specs<br /><br />    Processor: NXP  LPC4330, 204 MHz, dual core<br />    Image sensor: Omnivision OV9715, 1/4&quot;, 1280x800<br />    Lens field-of-view: 75 degrees horizontal, 47 degrees vertical<br />    Lens type: standard M12 (several different types available)<br />    Power consumption: 140 mA typical<br />    Power input: USB input (5V) or unregulated input (6V to 10V)<br />    RAM: 264K bytes<br />    Flash: 1M bytes<br />    Available data outputs: UART serial, SPI, I2C, USB, digital, analog<br />    Dimensions: 2.1&quot; x 1.75&quot; x 1.4&quot;<br /><br /><a href="https://www.youtube.com/watch?v=J8sl3nMlYxM" class="postlink">https://www.youtube.com/watch?v=J8sl3nMlYxM</a><br /><br /><a href="https://www.kickstarter.com/projects/254449872/pixy-cmucam5-a-fast-easy-to-use-vision-sensor/" class="postlink">https://www.kickstarter.com/projects/254449872/pixy-cmucam5-a-fast-easy-to-use-vision-sensor/</a><br /><br /><br /><span style="font-weight: bold">And there  a open source module</span><br /><br /><span style="font-weight: bold">OpenMV (Open Machine Vision Module)</span><br /><br />OpenMV is an open-source tiny machine vision module based on an STM32F4xx ARM Cortex-M4 MCU and an OV9650 sensor, it's currently capable of doing face detection at 25FPS, color tracking at 30FPS+ and has USART interfae and USB-OTG support for debugging and firmware update. This repo contains the hardware resources, drivers, image processing and userspace code.<br /><br /><img src="http://4.bp.blogspot.com/-hIU-_kyAp6o/UjYtQj9E9CI/AAAAAAAAASs/GK8z9rIqUP0/s400/openmv.jpeg" alt="Image" /><br /><br /><br /><a href="https://github.com/iabdalkader/openmv" class="postlink">https://github.com/iabdalkader/openmv</a><br /><br />Face Detection With OpenMV (25FPS) <br /><a href="http://www.youtube.com/watch?v=SdQF5JI4kzU" class="postlink">http://www.youtube.com/watch?v=SdQF5JI4kzU</a><br /><br />Color Tracking With OpenMV (30FPS) <br /><a href="http://www.youtube.com/watch?v=T-oMfnEsa1o" class="postlink">http://www.youtube.com/watch?v=T-oMfnEsa1o</a><br /><br />And for arduino users<br /><br /><span style="font-weight: bold">ArduCAM Shiled</span><br /><br /><img src="http://www.arducam.com/wp-content/uploads/2013/08/ArduCAM_REVC_MEGA_BACK.jpg" alt="Image" /><br /><br />    Incorporating standard SPI slave interface<br />    Reduced IOs consumption, only 4 IOs for SPI, 2 IOs for I2C and 1 IO for SD are required<br />    All IOs are 5V and 3.3V tolerant<br />    Support all Arduino families including Arduino DUE<br />    Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino and etc<br />    Support 1080p still JPEG image capture<br />    Provide low power mode, reduce power consumption and prolong battery life<br />    Well mate with Arudino UNO R3, MEGA2560 R3, Leonardo R3 and DUE boards<br /><br />Can be easily ported to any platforms which have SPI port like Raspberry Pi, BeagleBoard, BeagleBone, pcDuino.<br /><br /><span style="font-weight: bold">ArduCAM Shield Demo</span><br /><br /><a href="http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html" class="postlink">http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html</a><br /><br /><a href="https://www.youtube.com/watch?v=gb5szs5-yMg#aid=P-jYuFhVB0w" class="postlink">https://www.youtube.com/watch?v=gb5szs5-yMg#aid=P-jYuFhVB0w</a><br /><br /><br /><a href="http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html" class="postlink">http://www.uctronics.com/arduino-camera-shield-arducam-for-uno-mega2560-board-p-1445.html</a><br />$29.99<p>Statistics: Posted by <a href="http://forum.robosavvy.com/memberlist.php?mode=viewprofile&amp;u=1610">nicolas gomez</a> — Tue Apr 15, 2014 5:37 pm</p><hr />
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