# Device Specifications

## Size

* height: 150 mm
* wide: 350 mm
* depth: 150 mm

## Hardware

* [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

## Software

* [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

## Characteristic

* 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

## License

* 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/)

## Certification

* [DIN SPEC 3105-1: Open Source Hardware](https://www.researchgate.net/publication/342564027_DIN_SPEC_3105-1_Open_Source_Hardware)

## Areas of Application

* Plankton analysis of small animals and algae living in water
* Mobile use via external power supply

## System Requirements

* a Web-Browser to control the device (like a Notebook, Smartphone or Tablet)

## Accessories

* [Collector device](../hardware/collection_devices.md)
* [12v Power Bank]()