TIDUF89 September   2024

 

  1.   1
  2.   Description
  3.   Resources
  4.   Features
  5.   Applications
  6.   6
  7. 1System Description
    1. 1.1 Detection Theory
    2. 1.2 Multi-Pass Architecture
  8. 2System Overview
    1. 2.1 System Design Theory
      1. 2.1.1 Long Detection Range
        1. 2.1.1.1 Antenna Design for Long Detection Range
        2. 2.1.1.2 SNR Compensation for Long Detection Range
        3. 2.1.1.3 Smart Detection Logic
      2. 2.1.2 Low Power Consumption
        1. 2.1.2.1 Efficient Chirp Design
        2. 2.1.2.2 Deep Sleep Power Modes
        3. 2.1.2.3 Hardware Accelerator
      3. 2.1.3 Low False Alarm Rate
        1. 2.1.3.1 Typical Causes of False Alarms
        2. 2.1.3.2 False Alarms Outside the Detection Zone
        3. 2.1.3.3 False Alarms Within the Detection Zone
        4. 2.1.3.4 Adaptive State Machine
  9. 3Hardware, Software, Testing Requirements, and Test Results
    1. 3.1 Hardware Requirements
    2. 3.2 Software Requirements
    3. 3.3 Test Setup
      1. 3.3.1 Test 1 - Detection Range
      2. 3.3.2 Test 2 - False Alarm Rate
      3. 3.3.3 Test 3 - Power Consumption
    4. 3.4 Test Results
  10. 4Design Files
    1. 4.1 Schematics
    2. 4.2 Bill of Materials
  11. 5Tools and Software
  12. 6Document Support
  13. 7Support Resources
  14. 8Trademarks
  15. 9About the Authors

1 System Description

As consumer technology becomes smaller and lower-power, video doorbells and video cameras are increasingly being powered by batteries instead of direct line-power. While this shift has made the process easier to put more surveillance devices in different places, the process has created a challenge to increase battery life of these devices. The most power-hungry event in typical operation for surveillance devices is recording and streaming video. Recording and streaming require the device to capture data over the camera, run image signal processing algorithms, and stream over WiFi to the cloud. To reduce the amount of time a device spends streaming data, smart surveillance systems have presence detection devices built onto them, which decrease the number of false alarms detected by the system, extending battery life without missing any true detection events.

Nearly all presence detection technologies face a tradeoff between low-power consumption, long detection range and low-false alarm rate. TI’s IWRL6432AOP mmWave radar balances these factors effectively through the high transmission power, multiple detection modes and seamless programmability on the M4F core and hardware accelerator (HWA).