surveillance

This is a Surveillance Project for Raspberry Pi.

Part of this source code is taken from:

http://www.pyimagesearch.com/2015/06/01/home-surveillance-and-motion-detection-with-the-raspberry-pi-python-and-opencv

The structure of the project is as follows:

• pi_surveillance.py
• testing_video.py
• conf.json
• pyimagesearch
  • __init__.py
  • tempimage.py
• video
  • README.txt
  • helicopter.avi

To launch the programs use:

python pi_surveillance.py --conf conf.json python testing_video.py --conf conf.json

Features

• When it detects motion, it sends a notification/email
• When motion is detected, the program starts storing/streaming video
• Camera hardware is not needed to test the software

TO DO's

• Creating project structure
• Adding files
• Including changes
• Testing

Notes

The previous dropbox connection is removed.

JSON Structure

• This JSON configuration file stores a bunch of important variables. Let’s look at each of them:
• show_video : A boolean indicating whether or not the video stream from the Raspberry Pi should be displayed to our screen.
• min_upload_seconds : The number of seconds to wait in between uploads. For example, if an image was uploaded to Dropbox 5m 33s after starting our script, a second image would not be uploaded until 5m 36s. This parameter simply #controls the frequency of image uploads.
• min_motion_frames : The minimum number of consecutive frames containing motion before an image can be uploaded to Dropbox.
• camera_warmup_time : The number of seconds to allow the Raspberry Pi camera module to “warmup” and calibrate.
• delta_thresh : The minimum absolute value difference between our current frame and averaged frame for a given pixel to be “triggered” as motion. Smaller values will lead to more motion being detected, larger values to less #motion detected.
• resolution : The width and height of the video frame from our Raspberry Pi camera.
• fps : The desired Frames Per Second from our Raspberry Pi camera.
• min_area : The minimum area size of an image (in pixels) for a region to be considered motion or not. Smaller values will lead to more areas marked as motion, whereas higher values of min_area will only mark larger regions as #motion.