Motion Sensor False Alarm Reduction via Threshold Filtering
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Solution Overview
Problem
Conventional motion detection systems, including image sensors and infrared sensors, often generate false alarms due to environmental factors, leading to inefficient performance and increased power consumption, and struggle to accurately distinguish true motion from other changes.
Innovation Solution
A motion detection method for sensors that captures images, compares them to pre-stored background images, and enters a recording mode based on specific intensity change thresholds and trigger signals from auxiliary sensors, allowing for more accurate detection of true motion while minimizing false alarms and optimizing power usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional image sensors perform motion detection based merely on pixel differences between images, then the detection process is simple, but false motion detection increases significantly
Solution Approach 1:
The patent segments the motion detection process into multiple independent verification stages: initial pixel difference calculation, intensity change threshold filtering, and auxiliary sensor trigger validation. Each stage acts as a separate filter to eliminate different types of false detections, thereby improving reliability without requiring a single complex algorithm
Solution Approach 2:
The patent introduces an auxiliary sensor as an intermediary component that provides additional verification before confirming motion events. This mediator sensor helps distinguish true motion from environmental artifacts by providing independent data that must corroborate the image-based detection, reducing false positives while maintaining system architecture simplicity
2Reliability
If conventional infrared sensors are used to detect motions of people/animals, then motion detection capability is provided, but false alarm reports increase under environmental changes
Solution Approach 1:
The patent merges infrared sensor detection with visible light image sensor detection into a unified verification system. By combining the thermal detection capability with visual image analysis and auxiliary sensor data, the system cross-validates motion events, allowing it to distinguish between genuine motion and environmental thermal variations that would otherwise cause false alarms
Solution Approach 2:
The patent implements a feedback mechanism where detection results from multiple sensors are continuously compared and validated against each other. When environmental changes affect one sensor type, the feedback loop from other sensors provides corrective information, allowing the system to adjust its interpretation and maintain reliable detection despite environmental interference
3Reliability
If conventional motion sensors generate false alarm reports frequently, then monitoring system is triggered often, but power consumption increases
Solution Approach 1:
The patent performs preliminary filtering of motion candidates through multiple validation checks before triggering the power-intensive monitoring system. By预先 (in advance) eliminating false motion candidates through threshold filtering and auxiliary sensor validation, the system avoids activating the monitoring system unnecessarily, thereby reducing power consumption while maintaining detection sensitivity for true motion events
Data Source
AI summary
A motion detection method utilized for a motion sensor includes: capturing a monitoring image; entering a recording mode when one intensity change value between the monitoring image and a pre-stored background image is higher than a first threshold and a trigger signal is received from an auxiliary sensor; and entering the recording mode when the intensity change value is higher than a second threshold before the trigger signal is received; wherein the second threshold is higher than the first threshold.