TIDUFE7 March   2026

 

  1.   1
  2.   Description
  3.   Resources
  4.   Features
  5.   Applications
  6.   6
  7. 1System Description
  8. 2System Overview
    1. 2.1 Block Diagram
    2. 2.2 Design Considerations
    3. 2.3 Highlighted Products
      1. 2.3.1 MSPM0G5187 Mixed-Signal Microcontrollers With Edge AI NPU
      2. 2.3.2 CC2755R10 SimpleLink™ Bluetooth® LE wireless MCU
  9. 3Hardware, Software, Testing Requirements, and Test Results
    1. 3.1 Hardware Requirements
      1. 3.1.1 PIR Analog Signal Chain
    2. 3.2 Software Requirements
    3. 3.3 Test Setup
      1. 3.3.1 Data Collection
    4. 3.4 Test Results
      1. 3.4.1 Passive Infrared Sensor (PIR)
      2. 3.4.2 HDC3020 – Temperature and Humidity Sensor (I2C)
      3. 3.4.3 BMP384 – Barometric Pressure Sensor (I2C)
      4. 3.4.4 OPT4001 – Ambient Light Sensor (I2C)
      5. 3.4.5 BMI270 – 6-Axis IMU (SPI)
      6. 3.4.6 MAG5170 – 3D Hall-Effect Sensor (SPI)
      7. 3.4.7 ICS43434 – Digital Microphone (I2S)
  10. 4Design and Documentation Support
    1. 4.1 Design Files
      1. 4.1.1 Schematics
      2. 4.1.2 BOM
    2. 4.2 Tools and Software
    3. 4.3 Documentation Support
    4. 4.4 Support Resources
    5. 4.5 Trademarks
  11. 5About the Author

3.4.1 Passive Infrared Sensor (PIR)

  • By default:
    1. ADC pin is configured for PIR1
    2. Sampling rate at 31.25Hz

See the Multi-class motion detection for PIR based building security with >98% accuracy content on TI's Edge AI technology landing page. The architecture is built using this sensor BoosterPack, and accompanying software is available to TI customers free of charge on Edge AI Studio.

TIDA-010997 PIR Data Capture Figure 3-8 PIR Data Capture