MONITOR™ - How to make Monitor System with inexpensive D.I.Y. Camera & Sensors.

With under 1$ Human Detection Sensor,HC-SR501




With 2$ USB Webcam,



and Raspberry Pi connected to the Internet,



You can make Web Base Security Camera System as follows:


PIR Sensor There are many types of Human Detection Sensor, some of these watching infrared light rays and cache shutting out of this, or some these using Millimeter-wave radar. PIR(Passive Infrared Ray) Sensor is one of these Human Detection Sensor which watches the change of thermal infrared emitted from hot objects like Humans, Birds, and Mammals.
The sensor consists of a lens for thermal infrared (white plastic tip in the picture below) and a detector device.
Both parts are inexpensive parts and a detector is low current consumption parts. So, the advantage to use the PIR sensor for Human Detection is:
- Inexpensive - Low current consumption How to setup Step 1. Get account of MONITOR™ and your view_id
On your Web browser, Sign up to MONITOR™, then you can see the following display.


Keep the "view_id" shown …

With 2$ USB Webcam,


and Beagle Bone Green connected to the Internet,




You can make Web Base Security Camera System as follows:


According to the BeagleBone Green System Reference Manual section 5.7 USB1 Host Port, the BBG's USB port can provide up to 500mA of current at 5V. It's enough power of the current to share USB WebCam and USB WiFi dongle by USB Hub. 
For your reference, the following are parts list which I'm using. High-Speed 4-Port USB 3.0 Multi HUB Splitter
price about 4$ from eBay HOT 150Mbps 150M Mini USB WiFi Wireless Adapter
price about 2$ from eBay Mini Stylish USB 2.0 5M Meter Retractable Clip WebCam Web Camera
price about 3$ from eBay The following steps are completely the same as How to make a Security camera with 2$ USB Webcam & Beagle Bone Green. Step 1. Get account of MONITOR™ and your view_id
On your Web browser, Sign up to MONITOR™, then you can see the following display.


Keep the "view_id" shown in the display, you are setting your Raspberry …

MH-Z19 CO2 concentration Sensor This blog post is outdated. The updated version is here.
MH-Z19 is a small, low-cost, weigh 15g CO2 sensor module product by 郑州炜盛电子科技.
You can buy it at an online shop like eBay or aliexpress about 20$.



The electrical interface of this sensor is compatible with Raspberry Pi. So you can make your D.I.Y. CO2 Monitor with MH-Z19, Raspberry Pi, and MONITOR™.



The normal CO2 concentration is about 400ppm. In a poorly ventilated room, the CO2 concentration will soon increase and make you feel drowsy.

By ventilation, co2 concentration soon decrease and you can get your head refreshed.




You can check your room air freshness by yourself and can protect your health with this.
Cabling Connect RPi & mh-z19 as:
- 5V on RPi and Vin on mh-z19 - GND(0v) on RPi and GND on mh-z19 - TxD and RxD are connected to cross between RPi and mh-z18 
The following are an example of cabling, you can free to use other 5v and 0v Pin on the RPi. 

Activate a value element on the MONI…

With 2$ USB Webcam,


and Raspberry Pi connected to the Internet,



You can make Web Base Security Camera System as follows:



Step 1. Get account of MONITOR™ and your view_id
On your Web browser, Sign up to MONITOR™, then you can see the following display.


Keep the "view_id" shown in the display, you are setting your Raspberry Pi to take Camera Image & send it to the view.


Step 2. Set up your Raspberry Pi & webcam. This webcam has a useful clip,


So you can set up these easily.
Step 3. Install & setup View software in your Raspberry Pi. The software for handling webcam to take a photo and send it is available here.

On your RaspberryPi command line, You can download the latest release or git clone as follows:

git clone https://github.com/UedaTakeyuki/view2.git
Then, go into this directory and call setup.sh command as follows:

cd view2 ./setup.sh After that, set "view_id" mentioned the last section by setid.sh command.
For example, in case your view_id is "…

MONITOR service is now available to provide Visualization to your existing IoT product!

Please tried using it! Thank you!