DoorWatcher is an IoT project that opens doors with the help of "face recognition". In addition it also allows monitoring via the browser. With the help of OpenCV a face can easly be recognised and identified. Depending on the use, additional GPIO pins can be controlled to open a door, for example.

Note: This project is made with the help of HackerShackOfficial and face_recognition.

• Prerequisites
• Installation
• Usage
• Customization
• Troubleshooting

• Raspberry Pi Zero W
• Camera V2.1 NoIR

• OpenCV & Dlib
• virtual environment
• face_recognition
• at least Raspbian Stretch with desktop

First we will remove unnecessary packages and then we will install all required libraries with the help of the doorwatcher_requiments.sh script... (the installation and updating process depends on your internet speed)

1. move the script to home directory mv /DoorWatcher/Scripts/doorwatcher_requiments.sh ~/doorwatcher_requiments.sh
2. give the script wirting rights chmod +x doorwatcher_requiments.sh and run the script sudo ./doorwatcher_requiments.sh

Next we are going to install all needed packages, OpenCV4, dlib, and more with the doorwatcher_software.sh script... (the installation process will last around 2-3h)

0. Before you start to install all requirements make sure you downloaded opencv & opencv_contrib successfully!
1. move the script to home directory mv /DoorWatcher/Scripts/doorwatcher_software.sh ~/doorwatcher_software.sh
2. give the script wirting rights chmod +x doorwatcher_software.sh and run the script sudo ./doorwatcher_software.sh

1. In order for us to work with facial recognition we need to enable the interface on the Raspberry Pi. We do this with the following command: sudo raspi-config. Select Interface Options, then Pi Camera and toggle on. Press Finish and exit.

2. Run the program sudo python3 ~/DoorWatcher/Modules/main.py.

You can view a live stream by visiting the ip address of your pi in a browser on the same network. You can find the ip address of your Raspberry Pi by typing ifconfig in the terminal and looking for the inet address.

Visit <raspberrypi_ip>:5000 in your browser to view the stream.

Note: To view the live stream on a different network than your Raspberry Pi, you can use ngrok to expose a local tunnel. Once downloaded, run ngrok with ./ngrok http 5000 and visit one of the generated links in your browser.

Note: The video stream will not start automatically on startup. To start the video stream automatically, you will need to run the program from your /etc/rc.local file see this video for more information about how to configure that.

Frist you can change the pictures with this command raspistill -o DoorWatcher/Modules/pictures/p1.jpg and add how much you need.

If you want to change the size of the streaming than you will need to change the file DoorWatcher/Modules/templates/index.html. Make sure you choose the right sizes when you change the 6 line <img id="bg" src="{{ url_for('video_feed') }}" style="height:600px; width:800px;">.

To change the recognition time just change the line 35 if (time.time() - last_epoch) > <TIME>: in the file DoorWatcher/Modules/main.py.

modprobe: ERROR: ../libkmod/libkmod.c:586 kmod_search_moddep() could not open moddep file '/lib/modules/4.14.98-v7+/modules.dep.bin'
modprobe: FATAL: Module bcm2835-v4l2 not found in directory /lib/modules/4.14.98-v7+
modprobe: ERROR: ../libkmod/libkmod.c:586 kmod_search_moddep() could not open moddep file '/lib/modules/4.14.98-v7+/modules.dep.bin'
modprobe: FATAL: Module bcm2835-v4l2 not found in directory /lib/modules/4.14.98-v7+

To fix this error just simple run following command sudo rpi-update 963a31330613a38e160dc98b708c662dd32631d5 and then reboot the raspberry pi

opencv_test_core_pch_dephelp.dir/opencv_test_core_pch_dephelp.cxx.o
In file included from /home/joey/opencv/opencv/opencv/modules/core/test/test_precomp.hpp:12:0,
                 from /home/joey/opencv/opencv/build/modules/core/opencv_test_core_pch_dephelp.cxx:1:
/home/joey/opencv/opencv/opencv/modules/core/include/opencv2/core/private.hpp:66:12: fatal error: Eigen/Core: No such file or directory
#  include <Eigen/Core>
            ^~~~~~~~~~~~
compilation terminated.
modules/core/CMakeFiles/opencv_test_core_pch_dephelp.dir/build.make:62: recipe for target       'modules/core/CMakeFiles/opencv_test_core_pch_dephelp.dir/opencv_test_core_pch_dephelp.cxx.o' failed
make[2]: *** [modules/core/CMakeFiles/opencv_test_core_pch_dephelp.dir/opencv_test_core_pch_dephelp.cxx.o] Error 1
CMakeFiles/Makefile2:1229: recipe for target 'modules/core/CMakeFiles/opencv_test_core_pch_dephelp.dir/all' failed
make[1]: *** [modules/core/CMakeFiles/opencv_test_core_pch_dephelp.dir/all] Error 2
make[1]: *** Waiting for unfinished jobs....

To fix this error you will need to make changes in the cmake/OpenCVFindLibsPerf.cmake file. If you can't find the file just go to the root directory cd / and run the this command sudo find -name "OpenCVFindLibsPerf.cmake"

.sh file: /bin/bash^M: bad interpreter

To fix this error just simple run following command sed -i -e 's/\r$//' doorwatcher_software.sh and then agian sudo ./doorwatcher_software.sh

modprobe: ERROR: could not insert 'bcm2835_v4l2': Operation not permitted

To fix this error you will need to follow step 1 at Usage.