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IOT studio for filming plants growing. Controlls camera lights grow/studio along with DSLR camera. Runs on a raspberry pi controlled via a web app.

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Plantbox

Plant Box Project:

The goal of this project is to film the timescales of life. This is done through the timelapsing of plants using the Raspberry Pi. The project is intended to create a "Plant Box" an issolated place where a plant will grow for the sole purpose of being photographed. This "Plant Box" will have a controller to manage studio lights as well as grow lights to sustain the growth. The controller will also trigger and download images from any camera to an external HDD. The goal of this is to fully automate the process and eliminate any human interaction during the entire growth of the plant cycle.

Items Needed

You will need the following items in order to create your own plant box.

  • 1 x Raspberry Pi (any model)
  • 1 x Micro SD with Rasbian Installed
  • 1 x Keyboard/Mouse & Monitor (only needed to connect to the network)
  • 1 x Raspberry Pi Power supply
  • 1 x 2 Channel Relay Module
  • 4 x Jumper cables to connect the relay to the Pi
  • 1 x 12 Volt Daylight LED strip
  • 1 x 12 Volt Growlight LED strip
  • 1 x 12 Volt LED power Supply
  • 1 x External HDD (optional)
  • 1 x "Plant Box" a quite dark place where a plant can grow undisturbed.

Guide

Installing This App

Fresh Rasberry Pi

You need to have a raspberry Pi with the latest version of Rasbian/Noobs up and running before you begin this guide. If you're new to Pi, pause this tutorial and follow this guide: https://projects.raspberrypi.org/en/projects/raspberry-pi-setting-up

SSH into Your Pi.

It is way easier to control your Pi from your personal computer using SSH. Make sure the Pi is connected to your local wifi network first. Open terminal in your Pi so you can find the IP address of your raspberry pi using the following command.

$ ifconfig

If you are connected with ethernet your ip addess should be under eth0 if you are connected with wifi your ip address will be under wlan0. Write down this number you will need this to control your Pi from your Desktop comptuer.

You must enable SSH on your Raspberry pi. Change this with raspi-config. Under "Interfaceing options"

$ sudo raspi-config

Once you find your ip adress and enable SSH you can unplug the Pi's keyboard mouse and monitor becuse the rest will be dont through SSH. Open up Terminal in Mac/Linux and Command Prompt for Windows and start a new SSH session typing the following command.

$ ssh pi@ip.address.of.your.pi

You will then answer "yes" to start a new SSH session with your remote Raspberry Pi. It will ask you to enter a password if you haven't changed the password it should be "raspberry"

Password:raspberry

You might need to reconnect to your SSH session after you change your password. Once you are connected to your Raspberry Pi with a SSH connection you are ready to get started!

Make sure your install Git.

$ sudo apt-get install git

Open Terminal and cd into the directory where you want to install this repository.

$ cd~/Directory/Where/You/Want/This/Repository

Install the Plantbox repository:

$ git clone https://github.com/elocremarc/Plantbox

You will also need some addional programs and python packages.

Gphoto2

Gphoto2 is a command line interface for controlling many differnt camera models through a USB connection. This project was developed on the 60D so be sure to look at the Gphoto2 documentaion to see if your camera is supported. http://gphoto.org/proj/libgphoto2/support.php

Install Gphoto2 with the following commands.

Update the Pi:

$ sudo apt-get install update

Install Gphoto2:

$ sudo apt-get install gphoto2

Once Gphoto2 is installed we need to make sure the files are stored to the memory card of the camera. We do this by typing in the following commands.

$ gphoto2 --set-config capturetarget=1

To confirm this run the following command:

$ gphoto2 --get-config capturetarget

Make sure the capture target is:

 Current:Memory Card

Python Program

This Python Program uses Gphoto2 which was adapted to work with python in this program. This adaptaion was was created by the instructions in this YouTube video. I would recomend watching that video.. He explains how to use Gphoto2 extensivly as well how this program mainly functions. https://www.youtube.com/watch?v=1eAYxnSU2aw

You will also need some dependecies along with Gphoto2 for the python program to work. Install them with the following comands:

$ sudo apt-get install python3-pip
$ sudo pip3 install sh

Other than the functions achived in the video above, this program also triggers a 2 channel relay to control both studio light and a grow light using GPIO. The lights need to be controlled so that the grow light is off during the image capture while the studio light is turned on. The control also needs to make sure the grow light only shines during the day.

Wiring

Along with connecting the camera to the USB on the Pi a 2 channel relay must also be connected to 2 GPIO pins on the Pi. These control a higher voltage circuit for instance a 12 volt LED strip. 12 volt LED strips work great because you can get them for both Daylight and GrowLight. These "Lights" are symbolized as LED's on the following schematic. Output side of the relay is where you would need to the appropriate 12 volt power supply to power your LED strip setup.

alt text alt text

Pins 2 & 3 on the Pi are the pins that we will used to control the relay. They connect to the relay board along with the 5 Volt VCC pin and the Ground Pin of the Rasperry Pi. This can be used to control Mains power or a safer option is using 12Volt LEDs

File Storage Location

Currently the python program is saving files to the desktop of the raspbery pi in a folder named timelapse. create this folder with the following commands:

$ sudo mkdir /home/pi/Desktop/timelapse

To change the location change the save path in the save_location function in the python program. Make sure you are in the directory with the PlantLapse.py program if not cd into it. Now you must edit this program. Type the following command.

$ sudo nano PlantLapse.py

Once you are in the nano text editor find the "save_location" fucntion and change the path where you want the timelapse to be stored.

save_location = "/home/pi/Desktop/timelapse" + folder_name

Save changes and close nano.

Optional

If you want basically unlimited storage a HDD is a good option. As long as your HDD is mounted to a directory you can specify this directory in the save_location fuctnion like above. If you need instructions on mouting your HDD to a directory follow this offical guide: https://www.raspberrypi.org/documentation/configuration/external-storage.md

Running The Program

The program can be run directly through command line. cd into the path where the python program is located:

$ cd /Path/to/file/PlantLapse.py

Run this program using python3:

$ python3 Plant.py

This will run so long as as terminal/ssh is open. It will stop once terminal/ssh is closed. You can make the program run in its own serpate independent shell with the noup command :

$ nohup python3 Plant.py &

Note: you must close the process down manually to stop the script. Find the python3 process with the following command:

$ ps -A | grep python3

You will get a number back followed by other characters:

$ XXXX pts/0 00:00:03 python3 

Use this number with the kill command to stop the PlantLapse.py:

$ sudo kill XXXX

Troubleshooting

This was made using a cannon 60D you might not have a cannon camera. Therefore you might have to change the Clear Command in the python program to a different file extension for Gphoto2 to clear off the photos properly.

clearCommand = ["--folder", "/store_00020001/DCIM/100CANON",\ 

To find out the file structure your camera uses type in the following command:

$gphoto2 --get-config capturetarget

Copy the file extsion you see into the clear command in the Python program.

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IOT studio for filming plants growing. Controlls camera lights grow/studio along with DSLR camera. Runs on a raspberry pi controlled via a web app.

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