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![planktoscope_hero](images/project_description/planktoscope_hero.png)
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# Open and frugal modular imaging platform for citizen oceanography
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![planktoscope_hero](images/project_description/planktoscope_hero.png)
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## What are Plankton?
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"Drifting endlessly, midway between the sea of air above and the depths of the abyss below, these strange creatures and the marine inflorescence that sustains them are called 'plankton' — the wanderers" - Rachel Carson
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@ -16,40 +16,56 @@ The goal of the PlanktoScope is to allow citizen to engage in scientific program
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![planktoscope_hero](images/project_description/planktoscope_architecture.png)
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## The build and use documentation
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## Device specification
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You can find here more information about how to build your own PlanktoScope.
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### Size
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### Setup
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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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- [How to setup your PlanktoScope the easy way](./software/easy_install.md)
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- [How to setup your PlanktoScope the hard way (also known as the Expert's path)](./software/expert_setup.md)
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- [Some information about how to setup a remote access](./usage/remote_access.md)
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### Hardware
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### Build your machine
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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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- [Assembly Guide](./hardware/assembly_guide.md)
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### Software
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### Usage
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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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- [Information about collection devices](./hardware/collection_devices.md)
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### Characteristic
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### Under the hood
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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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- [Software Development](./contribute/software_development.md)
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- [MQTT Messages](./usage/mqtt_messages.md)
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- [Create Master SD Card or backup your PlanktoScope](./software/create_sd.md)
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- How does the segmentation works (soon)
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### License
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## Changelog
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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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- [Changelog](./changelog.md)
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### Certification
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## Contribute
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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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- [Find out how to contribute to this documentation and help edit it](./contribute/writing_documentation.md)
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- [Contribute to the code, here is the getting started](./contribute/software_development.md)
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## Areas of Application
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## License
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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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- [More information about the licenses that we use](./license.md)
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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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