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![planktoscope_hero](images/project_description/planktoscope_hero.png)
# Open and frugal modular imaging platform for citizen oceanography
![planktoscope_hero](images/project_description/planktoscope_hero.png)
## What are Plankton?
"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
@ -16,40 +16,56 @@ The goal of the PlanktoScope is to allow citizen to engage in scientific program
![planktoscope_hero](images/project_description/planktoscope_architecture.png)
## The build and use documentation
## Device specification
You can find here more information about how to build your own PlanktoScope.
### Size
### Setup
- height: 150 mm
- wide: 350 mm
- depth: 150 mm
- [How to setup your PlanktoScope the easy way](./software/easy_install.md)
- [How to setup your PlanktoScope the hard way (also known as the Expert's path)](./software/expert_setup.md)
- [Some information about how to setup a remote access](./usage/remote_access.md)
### Hardware
### Build your machine
- [4 Core ARM-Cortex-A72 Processor](https://www.raspberrypi.com/products/raspberry-pi-4-model-b/) with 1,50 GHz
- 4 GB Arbeitsspeicher (depending on the purchased version)
- 64 GB Flash memory (depending on the purchased version)
- [Sony IMX477R](https://www.raspberrypi.com/products/raspberry-pi-high-quality-camera/) Image sensor with 12.3MP
- M12 mount optics with 16 and 25 mm lenses
- Automatic focus via linear guide
- automatic sampling via peristaltic pump
- the case is made of wood fiberboard
- [Assembly Guide](./hardware/assembly_guide.md)
### Software
### Usage
- [Debian](https://www.raspberrypi.com/software/operating-systems/) based Embedded Linux operating
- [Node-Red](https://nodered.org/) based user interface
- [Python](https://www.python.org/) Image processing service and cloud connection
- [Information about collection devices](./hardware/collection_devices.md)
### Characteristic
### Under the hood
- Magnification ???
- Focus stage control
- Pump control
- Automatic image capture
- Automatic segmentation, optimization and object detection
- 4,200 images, 41,000 objects, ~ 1 minute
- Control via smartphone or tablet
- [Software Development](./contribute/software_development.md)
- [MQTT Messages](./usage/mqtt_messages.md)
- [Create Master SD Card or backup your PlanktoScope](./software/create_sd.md)
- How does the segmentation works (soon)
### License
## Changelog
- Hardware: [CERN Open Hardware Licence](https://cern-ohl.web.cern.ch/home)
- Software: [GNU General Public License](https://www.gnu.org/licenses/gpl-3.0.html)
- Dokumentation: [Creative Commons Attribution-ShareAlike](https://creativecommons.org/licenses/by-sa/4.0/)
- [Changelog](./changelog.md)
### Certification
## Contribute
- [DIN SPEC 3105-1: Open Source Hardware](https://www.researchgate.net/publication/342564027_DIN_SPEC_3105-1_Open_Source_Hardware)
- [Find out how to contribute to this documentation and help edit it](./contribute/writing_documentation.md)
- [Contribute to the code, here is the getting started](./contribute/software_development.md)
## Areas of Application
## License
- Plankton analysis of small animals and algae living in water
- Mobile use via external power supply
- [More information about the licenses that we use](./license.md)
## System Requirements
- a Web-Browser to control the device (like a Notebook, Smartphone or Tablet)