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Motion Activated Computer Login

This project uses a PIR sensor to detect motion from the user and automatically login the computer.

daphneDaphne
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This project uses a PIR sensor to detect motion from the user and automatically login the computer, saving people time from having to type the password every day or every few hours.



Ameba RTL8722DM is a low-power dual-band WLAN and Bluetooth Low Energy SoC by Realtek. The RTL8722DM also include memory for Wi-Fi protocol functions and application making it simple for anyone to develop various kind of IoT applications. At the same time it has a wide range of peripheral interfaces. With all these interfaces, it can connect to most of the electronics components like LEDs, temperature and humidity sensors, and so on.

If you need additional technical documents or the source code for this project. Please visit the official websites and join the Facebook group and forum.

Ameba Official Website: https://www.amebaiot.com/en/
Ameba Facebook Group: https://www.facebook.com/groups/amebaioten
Ameba Forum: https://forum.amebaiot.com/

Using the PIR sensor function of detecting motion, when motion is detected, the computer will enter the log in page and automatically type in your computer's password, allowing you to log in easily.

  • 1 × AMB23[RTL8722DM MINI]
  • 1 × PIR Sensor Passive Infrared Sensor that measures infrared light radiating from objects in its field of view.

  • Getting the basics functions

    Daphne • 07/12/2022 at 02:29 • 0 comments

    01/07/2022 Updates

    • Functions:
      • Able to detect motion with the PIR sensor 
      • Able to emulate keyboard press such as "backspace", "space" and inserting a string of characters
    • To be enhanced and added:
      • More accurate motion detection
      • To prevent multiple motion detected
      • Add in WS2812B Led strip

View project log

  • 1
    Setup

    Connect the PIR Sensor to the AMB23 as shown in the wiring Diagram below:

  • 2
    Programming

    For the code for this project, please visit my Github link below:

    https://bit.ly/3PhBXJY

View all instructions

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