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@@ -668,14 +668,16 @@ Here this edge computing is brought into a practice-oriented example, where a AI
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<p>This project is an evolution of the <a href="https://github.com/jomjol/water-meter-system-complete">water-meter-system-complete</a>, which uses ESP32-CAM just for taking the image and a 1GB-Docker image to run the neural network's backbone. Here everything is integrated in an ESP32-CAM module with 8MB of RAM and a SD card as data storage.</p>
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<h1 id="3th-party-tutorials"><span class="enumerate-headings-plugin enumerate-heading-plugin">2.</span> 3th Party Tutorials</h1>
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<p>A lot of people created useful Youtube videos which might help you getting started.
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Here a small selection:
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- https://www.youtube.com/watch?v=HKBofb1cnNc
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- https://www.youtube.com/watch?v=yyf0ORNLCk4
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- https://www.youtube.com/watch?v=XxmTubGek6M
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- https://www.youtube.com/watch?v=mDIJEyElkAU
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- https://www.youtube.com/watch?v=SssiPkyKVVs
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- https://www.youtube.com/watch?v=MAHE_QyHZFQ
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- https://www.youtube.com/watch?v=Uap_6bwtILQ</p>
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Here a small selection:</p>
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<ul>
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<li>https://www.youtube.com/watch?v=HKBofb1cnNc</li>
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<li>https://www.youtube.com/watch?v=yyf0ORNLCk4</li>
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<li>https://www.youtube.com/watch?v=XxmTubGek6M</li>
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<li>https://www.youtube.com/watch?v=mDIJEyElkAU</li>
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<li>https://www.youtube.com/watch?v=SssiPkyKVVs</li>
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<li>https://www.youtube.com/watch?v=MAHE_QyHZFQ</li>
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<li>https://www.youtube.com/watch?v=Uap_6bwtILQ</li>
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</ul>
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</article>
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</div>
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</div>
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