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	<title>WSAL22642 – OAK-D-S2/en - Versionsgeschichte</title>
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		<summary type="html">&lt;p&gt;Freigegebene technische Dokumentation veröffentlicht; Text-only und noindex&lt;/p&gt;
&lt;p&gt;&lt;b&gt;Neue Seite&lt;/b&gt;&lt;/p&gt;&lt;div&gt;__NOINDEX__&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Documentation notice:&amp;#039;&amp;#039;&amp;#039; This technical documentation was independently rewritten from an archived supplier source. Check technical details and commands against the product version and manufacturer documentation before use.&lt;br /&gt;
&lt;br /&gt;
== Summary ==&lt;br /&gt;
The OAK-D-S2 is a compact AI vision kit featuring an Intel Myriad X chip, a 12MP color camera, and binocular depth cameras. It supports Python and C++ development as well as H.265 streaming.&lt;br /&gt;
&lt;br /&gt;
== Related products at JW Tech ==&lt;br /&gt;
* [https://shop.jw-tech.eu/p/WSAL22642 WSAL22642 – OAK-D-S2, 12MP, OpenCV AI Machine Vision Kit, Depth Measuring, Image Recognition]&lt;br /&gt;
&lt;br /&gt;
== Technical overview ==&lt;br /&gt;
* Based on the OAK-D but more compact and lighter; the 5V power port present in the OAK-D has been removed.&lt;br /&gt;
* Color camera: IMX378 sensor, 12 MP (4056 × 3040), 60 fps, autofocus from 8 cm to infinity.&lt;br /&gt;
* Binocular monochrome cameras: OV9282 sensors, 1 MP each (1280 × 800), 120 fps, fixed focus from 50 cm or 19.6 cm.&lt;br /&gt;
* Depth range: 0.7–12 m; theoretically up to 35 m, with about 6–10% measurement error at 30 m.&lt;br /&gt;
* AI processor: Intel Myriad X with 4 TOPS of compute performance.&lt;br /&gt;
* Video output: 4K/30 fps H.265 stream.&lt;br /&gt;
* Interface: USB 3.0 Type-C for connection to computers or embedded hosts.&lt;br /&gt;
* Supported development languages: Python and C++.&lt;br /&gt;
* Metal enclosure; average power consumption approximately 2.5 W.&lt;br /&gt;
* Supports common neural networks from the Caffe, TensorFlow, and MXNet platforms.&lt;br /&gt;
&lt;br /&gt;
&amp;#039;&amp;#039;&amp;#039;Commands and examples – verify before use:&amp;#039;&amp;#039;&amp;#039; &lt;br /&gt;
&amp;lt;syntaxhighlight lang=&amp;quot;text&amp;quot;&amp;gt;&lt;br /&gt;
git clone https://gitee.com/oakchina/depthai.git&lt;br /&gt;
git clone https://gitee.com/oakchina/depthai-python.git&lt;br /&gt;
echo &amp;#039;SUBSYSTEM==&amp;quot;usb&amp;quot;, ATTRS{idVendor}==&amp;quot;03e7&amp;quot;, MODE=&amp;quot;0666&amp;quot;&amp;#039; | sudo tee /etc/udev/rules.d/80-movidius.rules&lt;br /&gt;
sudo udevadm control --reload-rules &amp;amp;&amp;amp; sudo udevadm trigger&lt;br /&gt;
python3 -m pip install -r depthai/requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple&lt;br /&gt;
python3 depthai/depthai_demo.py&lt;br /&gt;
&amp;lt;/syntaxhighlight&amp;gt;&lt;br /&gt;
&lt;br /&gt;
== Notes and version constraints ==&lt;br /&gt;
* The Linux installation steps refer to the depthai package; no standalone installation path for the OAK-D-S2 was specified in the source text—please verify the correct version of the depthai package before implementation.&lt;br /&gt;
* The source text contains no explicit safety warnings; laser and radiation aspects must be checked separately.&lt;br /&gt;
* Compatibility with certain hosts (e.g., Jetson) requires prior configuration of the target system to avoid conflicts with OpenCV.&lt;br /&gt;
* Version-sensitive steps: Installation via Gitee mirrors may vary by region or network environment; please confirm repository accessibility.&lt;br /&gt;
* No prices, warranties, or certifications were mentioned in the source text; such details must not be added.&lt;br /&gt;
&lt;br /&gt;
== Source and revision record ==&lt;br /&gt;
* [https://www.waveshare.com/wiki/OAK-D-S2 OAK - Waveshare Wiki]&lt;br /&gt;
* Source revision: 89738&lt;br /&gt;
* Captured: 2026-09-03T04:14:25+00:00&lt;br /&gt;
* SHA-256: &amp;lt;code&amp;gt;dcb2c8fa3c8b0cfe6539e80cb0d0f7176d53707fa529af4e33cb5d69d0966c36&amp;lt;/code&amp;gt;&lt;/div&gt;</summary>
		<author><name>JWTechPublisher</name></author>
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