Introduction: Raspberry Pi Baby Monitor With Splunk

These steps will teach you how to assemble the components required to make a Raspberry Pi baby monitor, and collect that data into Splunk, a log reader and analytical tool, to preset that data in a meaningful way. At the end you will be able to use the Spunk dashboard to monitor sleep patterns, room temperature and humidity. We'll also pull in outside weather for a comparison.

To create the monitor you will need:

When I started this experiment, I was sure that if we could maintain a good sleep environment for bub's, then I too would get more sleep in return, benefitting everyone. It gets pretty hot in Australia in summer, so ensuring the room was at optimal temperate for the sleep zone should really help keep everyone happy. So with some monitoring and alerting we should be able to keep it in the sweet spot for optimal baby comfort!

Step 1: Set Up the Raspberry Pi

The basis for the baby monitor is the Raspberry Pi, a cheap versatile Linux platform. You can order them from heaps of places online for about $50. I used the Model 2B, but I'm sure the newer version would also work. The Raspberry Pi 3 has integrated Wifi, so that's one less thing you need to buy.

  1. Order Raspberry Pi, and camera, and SD card
  2. Wait patiently for its delivery
  3. Install Raspbian linux on the SD card, follow the Raspberry Pi guide on this
  4. Confirm you can connect, use you favourite SSH program to log in remotely once installed
  5. Run an update, running the update command
sudo apt-get update

Once that is done, you've got a base operating system to build on

Step 2: Connect the Pi NoIR Camera

The Pi NoIR, is the night vision version of the camera, it has 'No Infra Red' Filter, meaning, if you have an infra red light source, at night, the camera can see them in the dark. Since our baby will do lots of sleep at night (hopefully), thats what we're using. If you want brightly lit, colour vision, don't use this camera.

Open the Raspberry Pi Case, push back the bar on the clip next to HDMI port, push it firmly, but don't bend it

Logged into the Raspberry Pi (ssh, or the console)

Type the command

sudo raspi-config


Enable camera

Select enter, when you are done, It prompts for a reboot, which you should do, its wise to follow instructions

Step 3: Connect the Temperature and Humidity Sensor

At the start I advised on the sensor to use for this. The one I linked to has the embedded components, namely a resistor. I have seen another version, a blue version that doesn't have this, and may need one, to not blow up. This direct connection is applied to the red AM2302 sensor, with on board components. Others may work, but be careful.

  1. Connect the jumper lead to the 3 connections on the Sensor
  2. Orange = Ground
  3. Red = VCC
  4. Brown = DAT

Connect the other end to the Raspberry Pi. Raspberry Pi have a reference digram for connecting.

  1. Connect the ORANGE = Pin 6 = third from the left on the top
  2. Connect the RED = Pin 1 = bottom left
  3. Connect the Brown = Pin 22 = 8 from the boat left

Now you can close the case and connect the power up, we need to write some software to read the sensor, you know, check that it actually works.

Step 4: Install Required Libraries

To write the software, that can read the sensor, we're going to need a couple of things.

First ensure the compiler is installed already with the common

sudo apt-get install git-core

Then install the WiringPi Module with the command

git clone git://

Then type

cd wiringPi

git pull origin

Then compile and install

cd wiringPi


Step 5: Read Data From the Sensor

I used this site as a guide for writing the software that will be able to read the Sensor. They advised we need to use a C program to ensure it always reads the sensor. Ive modified their original code to not loop, and format the readings better for later reading into Splunk. Splunk likes the format variable_name=value to easily identify it in the log

Open your your favourite linux text editor and make a file dat.c

Insert this code into it the dht.c file

<p>/*<br> *  dht.c:
 *	read temperature and humidity from DHT11 or DHT22 sensor
#define MAX_TIMINGS	85
#define DHT_PIN		3	/* GPIO-22 */
int data[5] = { 0, 0, 0, 0, 0 };
void read_dht_data()
	uint8_t laststate	= HIGH;
	uint8_t counter		= 0;
	uint8_t j			= 0, i;
	data[0] = data[1] = data[2] = data[3] = data[4] = 0;
	/* pull pin down for 18 milliseconds */
	pinMode( DHT_PIN, OUTPUT );
	digitalWrite( DHT_PIN, LOW );
	delay( 18 );
	/* prepare to read the pin */
	pinMode( DHT_PIN, INPUT );
	/* detect change and read data */
	for ( i = 0; i < MAX_TIMINGS; i++ )
		counter = 0;
		while ( digitalRead( DHT_PIN ) == laststate )
			delayMicroseconds( 1 );
			if ( counter == 255 )
		laststate = digitalRead( DHT_PIN );
		if ( counter == 255 )
		/* ignore first 3 transitions */
		if ( (i >= 4) && (i % 2 == 0) )
			/* shove each bit into the storage bytes */
			data[j / 8] <<= 1;
			if ( counter > 16 )
				data[j / 8] |= 1;
	 * check we read 40 bits (8bit x 5 ) + verify checksum in the last byte
	 * print it out if data is good
	if ( (j >= 40) &&
	     (data[4] == ( (data[0] + data[1] + data[2] + data[3]) & 0xFF) ) )
		float h = (float)((data[0] << 8) + data[1]) / 10;
		if ( h > 100 )
			h = data[0];	// for DHT11
		float c = (float)(((data[2] & 0x7F) << 8) + data[3]) / 10;
		if ( c > 125 )
			c = data[2];	// for DHT11
		if ( data[2] & 0x80 )
			c = -c;
				float f = c * 1.8f + 32;
		printf( "Humidity=%.1f Temperature=%.1f\n", h, c );
	}else  {
		printf( "Data not good, skip\n" );
int main( void )
 	if ( wiringPiSetup() == -1 )
		exit( 1 );

Step 6: Compile Your Reader Software

The code you put into the dot.c file now needs to be compiled

Type the command

cc -Wall dht.c -o dht -lwiringPi

You can then run the program with the command

sudo ./dat

You should see some output, this will only work if sensor is connected correctly, and code is working. It will show

Humidity=66.9 Temperature=18.3

Obviously exchange the reading for your local temperature - I've removed the Fahrenheit reading, since we don't use that down under.

Step 7: Write the Data to a Log File

When we get to using Splunk, it reads log files. So the data we are collecting from the sensors we are going to write to a log file, to then tell Splunk to monitor for changes.

First we are going to create a directory in the pi home folder, called logs, to store the files in

mkdir /home/pi/logs

Now, still in the home directory create a bash script file

touch /home/pi/

Edit the file with your favourite text editor, vim or something, and insert this code

#! /bin/bash


#run the client

"/home/pi/dht" > temperature.txt

OUTPUT=`cat temperature.txt`

# Write values to the screen


# Output data to a log file

echo "$(date +"%Y-%m-%d %T" ): ""$TEMPERATURE" >>"$log"temperature.log

Step 8: Schedule Your Scripts

We are going to use Cron on the Raspberry Pi to run the job. It gives us the flexibility of when to run each of our scripts

The temperature sensor required sudo (root) access to run, so we have to sudo the crontab, type the command

sudo crontab -e

Add the line to the file

*/5 * * * * /home/pi/

This will run the temperature program every five minutes. You can check you log file is being written to with the command

cat /home/pi/logs/temperature.log

Your log should start looking like the one attached.

Step 9: Set Up the Webcam

Now we are going to set up the webcam. We enabled it earlier but now we're going to install some software to actually use it (crazy right!).

The software is called motion, and it can run a web server, for viewing, detect motion, and record frames, and pictures. In this setup, I turn that off, I don't have a lot of space for video files, so I just run the live feed for monitoring, and use the log for tracking sleep movements.

The default install of motion doesn't have support for the Pi Camera. So we are using a special build made to work with it. The full guide is here. Ill give the short version.

Type the command

sudo apt-get install motion

Now download the special build

wget href="

Now unzip

tar zxvf motion-mmal.tar.gz

Open the config file motion-mmalcam.conf with your favourite text editor, and update a few of the settings, daemon on so it runs in the background, increase video height and video for quality, set the log file to our other location, and increase log level for events.

daemon on



logfile /home/pi/logs/motion.log

log_level 7

Turn off stream local host, it mean's you can connect to it remotely.

stream_localhost off

Text_Left is the text that comes up on the feed

text_left Baby's Room %t

There is a setting for username and password, set that up if you ahem this internet facing. Otherwise leave it as is.

Save the file, and start motion with the command

sudo ./motion -c motion-mmalcam.conf

Step 10: Connect to the Web Stream

You should now be able to connect to the web stream from the camera

Point your web browser, preferably Chrome or Firefox at


And you should get a live feed. You can also check the motion log and see if events are getting recorded.

cat /home/pi/logs/motion.log

These motion events are what we are going to count to detect sleep movements.

If you want to turn the red LED off, make the camera more discreet, edit the boot config

sudo vim /boot/config.txt

Add these lines, and after reboot it won't came on.

# Turn off camera Red LED

Step 11: Install Splunk and the Universal Forwarder

I'm not going to get into much details on the Splunk server. You can install on whatever OS you want. I've done it on Mac OSX and Linux, and both worked fine. So just follow the Splunk guide.

Once you have Splunk installed, ensure its got at least one receiving connection. The default port is 9997. Once this is done, and assuming no firewalls will block it, you can configure a Universal Forwarder to send data in.

Go to Splunk and get the universal forwarder for Linux. You need to get the version for ARM

Follow the instructions at Splunk.

Run the Splunk installer when you have the file

tar xvzf splunkforwarder-<…>-Linux-arm.tgz -C /opt

Configure the forwarder to point to your Splunk server.

Edit the file at

sudo vim opt/splunkforwarder/etc/system/local/outputs.conf

My server is

server =

Save and close, you can now start splunk forwarder

/splunkforwarder/bin/splunk start

No add a motor to our log file location

sudo /opt/splunkforwarder/bin/splunk add monitor /home/pi/logs

Our Splunk forwarder should now start collecting logs in that directory. You can check the Splunk forwarder log if its not going though to check for issues

sudo cat /opt/splunkforwarder/var/log/splunk/splunkd.log

Step 12: Create a Dashboard

Now log into your Splunk server and confirm if data is coming in.

Perform a search for events

index=main source="/home/pi/logs/temperature.log"

If you switch to Verbose mode in Splunk, it should identify the Temperature and Humidity variables. You can now graph them using a Splunk search, like;

index=main source="/home/pi/logs/temperature.log"| timechart max(Temperature)

You can create a dial for Temperature, run the below search and save to a new Dashboard, give it a name "Baby Monitor"

index=main Temperature source="/home/pi/logs/temperature.log" | stats first(Temperature)

And again for Humidity, select visualisation, Radial gauge. Save as a Dashboard panel, to the existing Panel, "Baby Monitor"

index=main Humidity source="/home/pi/logs/temperature.log" | stats first(Humidity)

Step 13: Add More to the Dashboard

If the motion log is successfully being logged we should have events for it in Splunk now. If we search for events detected, we should get results back

index=main detected

If we have results we can graph them. We are going to graph the volume of events. This will show us how much movement was detected over time.

The query looks like this

index=main detected | timechart count span=5min

By combining these searches and adding to a dashboard we can build up a lot of useful metrics on inside and outside temperatures, and baby movements.

The query for inside and outside temperature together looks like this:

index=main source="/home/pi/logs/outside_weather.log"   OR source="/home/pi/logs/temperature.log" | timechart max(Temperature) AS "Baby's Room" max(Outside_Weather) AS "Outside" span=30min

Step 14: Connect With the App and Mounting

Splunk App

Splunk make an App for IOS, its free to install, and yo can enter in the password and web address and search your dashboards on your Tablet.

If you want to connect remotely, you can use a port forward on your home router to open up the address. It required ports 8000 and 8089 for Splunk, to the SPlunk server, and 8081 for the webcam, straight to the Raspberry Pi as that's where its hosted.


I mounted using sticky tape over the back of the crib, the Pi is pretty light. Whilst this is OK for now, as soon as your baby is able to sit up, this becomes very dangerous, you need to then mount it out of reach!

They will tear it off and try and eat it!

Step 15: Bonus Script - Outside Weather

I used a script to get the Weather from the Australian weather site. Its downloads a file from the Bureau of Meteorology and outputs the location closest to me, and writes that to a log file for Splunk to ingest.

#! /bin/bash<br>log="/home/pi/logs/"

#run the client<br>rm IDW60XXX.94610.axf

wget href=""  

OUTPUT=`cat IDW60XXX.94610.axf | grep -m 1 0,94610,`


echo "$(date +"%Y-%m-%d %T") , ""$TEMPERATURE" >>"$log"outside_weather.log

Add that to a cron job

*/30 * * * * /home/pi/

Then you can start adding more data, cross referencing and building bigger dashboards, the possibilities are endless!

Sensors Contest 2016

Participated in the
Sensors Contest 2016

First Time Author Contest 2016

Participated in the
First Time Author Contest 2016

Internet of Things Contest 2016

Participated in the
Internet of Things Contest 2016