Difference between revisions of "Team:CGU Taiwan/Hardware"

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<h1>Hardware</h1>
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<h3>Best Hardware Special Prize</h3>
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<p>iGEM is about making teams of students making synthetic biology projects. We encourage teams to work with parts and build biological devices in the lab. But we are inclusive and want all teams to work on many other types of problems in synbio. Robotic assembly, microfluidics, low cost equipment and measurement hardware are all areas ripe for innovation in synbio. </p>
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<p>
 
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Teams who are interested in working with hardware as a side project are encouraged to apply for the hardware award.
 
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To compete for the <a href="https://2017.igem.org/Judging/Awards">Best Hardware prize</a>, please describe your work on this page and also fill out the description on the <a href="https://2017.igem.org/Judging/Judging_Form">judging form</a>.
 
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You must also delete the message box on the top of this page to be eligible for this prize.
 
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<div class="description" style="text-align:center">
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<h1>Hardware</h1>
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  <p style="font-size:150%"><img src="https://static.igem.org/mediawiki/2017/a/a2/TeamGroup.png" width="100%"></p>
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<p style="font-size:150%"> To achieve the localize deinking, we built a system that can detect the ink on the paper and using red light LED matrix to stimulate the yeast in some specific locations to produce enzymes.
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The paper will be photographed and sent to computer before we spread the yeast on it. Our image process program using OpenCV function library to decode the JPG image file and do the edge offset, then decide which area have ink. After the LED matric data be calculated, the program using RS-232 serial communication standard sends this data to Arduino. Arduino collects the data and then sends it to Max7219 microcontroller to light up the LED matrix to stimulate the yeast produce enzymes.
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The system accepts any shape of paper which is under the size of the device, and the device can be easily scale up by connecting more led matric. This shows the possibility of factory scale localize deinking. </p>
  
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<h5>Inspiration</h5>
 
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<p>You can look at what other teams did to get some inspiration! <br />
 
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Here are a few examples:</p>
 
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<ul>
 
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<li><a href="https://2016.igem.org/Team:Valencia_UPV">2016 Valencia UPV</a></li>
 
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<li><a href="https://2016.igem.org/Team:Aachen">2016 Aachen </a></li>
 
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<li><a href="https://2015.igem.org/Team:TU_Delft">2015 TU Delft  </a></li>
 
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<li><a href="https://2015.igem.org/Team:TU_Darmstadt">2015 TU Darmstadt</a></li>
 
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</ul>
 
  
 
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Revision as of 17:58, 27 October 2017

iGem CGU_Taiwan 2017 - Hardware

Hardware

To achieve the localize deinking, we built a system that can detect the ink on the paper and using red light LED matrix to stimulate the yeast in some specific locations to produce enzymes. The paper will be photographed and sent to computer before we spread the yeast on it. Our image process program using OpenCV function library to decode the JPG image file and do the edge offset, then decide which area have ink. After the LED matric data be calculated, the program using RS-232 serial communication standard sends this data to Arduino. Arduino collects the data and then sends it to Max7219 microcontroller to light up the LED matrix to stimulate the yeast produce enzymes. The system accepts any shape of paper which is under the size of the device, and the device can be easily scale up by connecting more led matric. This shows the possibility of factory scale localize deinking.