59 lines
1.8 KiB
Markdown
59 lines
1.8 KiB
Markdown
# Device Specifications
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## Size
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* height: 150 mm
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* wide: 350 mm
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* depth: 150 mm
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## Hardware
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* [4 Core ARM-Cortex-A72 Processor](https://www.raspberrypi.com/products/raspberry-pi-4-model-b/) with 1,50 GHz
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* 4 GB Arbeitsspeicher (depending on the purchased version)
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* 64 GB Flash memory (depending on the purchased version)
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* [Sony IMX477R](https://www.raspberrypi.com/products/raspberry-pi-high-quality-camera/) Image sensor with 12.3MP
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* M12 mount optics with 16 and 25 mm lenses
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* Automatic focus via linear guide
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* automatic sampling via peristaltic pump
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* the case is made of wood fiberboard
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## Software
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* [Debian](https://www.raspberrypi.com/software/operating-systems/) based Embedded Linux operating
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* [Node-Red](https://nodered.org/) based user interface
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* [Python](https://www.python.org/) Image processing service and cloud connection
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## Characteristic
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* Magnification ???
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* Focus stage control
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* Pump control
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* Automatic image capture
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* Automatic segmentation, optimization and object detection
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* 4,200 images, 41,000 objects, ~ 1 minute
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* Control via smartphone or tablet
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## License
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* Hardware: [CERN Open Hardware Licence](https://cern-ohl.web.cern.ch/home)
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* Software: [GNU General Public License](https://www.gnu.org/licenses/gpl-3.0.html)
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* Dokumentation: [Creative Commons Attribution-ShareAlike](https://creativecommons.org/licenses/by-sa/4.0/)
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## Certification
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* [DIN SPEC 3105-1: Open Source Hardware](https://www.researchgate.net/publication/342564027_DIN_SPEC_3105-1_Open_Source_Hardware)
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## Areas of Application
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* Plankton analysis of small animals and algae living in water
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* Mobile use via external power supply
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## System Requirements
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* a Web-Browser to control the device (like a Notebook, Smartphone or Tablet)
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## Accessories
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* [Collector device](../hardware/collection_devices.md)
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* [12v Power Bank]()
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