Radar Motion Event Location Confirmation for False Alarm Filtering
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Solution Overview
Problem
Radar devices in video surveillance systems, such as video doorbells, fail to distinguish between human and non-human motion, leading to false alarms and excessive power consumption as the camera subsystem is activated for non-human motion, reducing the system's lifespan.
Innovation Solution
A technique that processes radar signals to identify motion events by comparing their locations with previously confirmed false alarm events, reducing false alarms by minimizing camera subsystem activation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radar device continuously monitors for movement using both low-power and high-power radar signals, then the detection capability is improved, but the power consumption increases
Solution Approach 1:
The system performs preliminary action by using low-power radar signals to detect motion events before activating the camera subsystem. The radar device first processes received low-power radar signals to determine if a motion event occurred, and only if motion is detected does it proceed to activate the camera subsystem for further verification. This preliminary detection step reduces unnecessary power consumption while maintaining reliable motion detection capability.
2Measurement precision
If the camera subsystem is activated for every motion event detected by the radar device, then the detection accuracy is improved, but the power consumption and processing resources increase
Solution Approach 1:
The system applies partial action by selectively activating the camera subsystem only when the radar device detects motion events that warrant further investigation. The radar device filters and processes motion events, activating the camera subsystem only for potential human motion events rather than for all detected motion. This partial activation approach reduces unnecessary power consumption and processing resources while maintaining sufficient detection accuracy for human motion identification.
3Reliability
If the system activates the camera subsystem to determine if motion is human or non-human, then the false alarm rate is reduced, but the processing resources and power consumption increase
Solution Approach 1:
The system segments the motion detection process into distinct stages: first, the radar device detects motion events using low-power signals; second, the radar device processes and filters these events to identify potential human motion; third, only then does the camera subsystem activate for final verification. This segmentation of the detection process reduces the processing resources and power consumption required at each stage while maintaining reliable false alarm reduction through multi-stage verification.
Data Source
AI summary
Various embodiments of the present disclosure relate to video surveillance systems, and in particular, to detecting movement within a scene. In one example embodiment, a technique for determining if a motion event is a false alarm event is provided. The technique first includes processing a received radar signal to detect a motion event within a scene. Next, the technique includes performing a comparison between a location of the motion event and locations of motion events previously detected within the scene. If the comparison indicates that the location of the motion event does not match the previously detected locations, then the technique includes confirming that the motion event is an actual motion event. Alternatively, if the comparison indicates that the location of the motion event matches a previously detected location, then the technique includes confirming that the motion event is a false alarm event.