Multi-sensor Motion Detection with Adaptive Thresholds
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Solution Overview
Problem
Existing security cameras often experience false positive motion detection events due to infrared sensors, leading to unnecessary battery drain and user notification of irrelevant video recordings.
Innovation Solution
The use of multiple sensors, including infrared and radar sensors, to verify motion detection, with a processor determining whether the motion is a false positive by comparing indications from both sensors, and adjusting motion detection thresholds to reduce false positives and negatives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the IR sensor is used to detect motion, then motion detection capability is improved, but false positive rate increases leading to unnecessary battery drain
Solution Approach 1:
The patent combines multiple sensors (IR sensor, radar sensor, and optionally other sensors) into a unified motion detection system. The processor integrates data from all sensors to make a comprehensive determination of actual motion, reducing false positives while maintaining reliable detection capability.
Solution Approach 2:
The system implements feedback by continuously monitoring sensor inputs and adjusting its detection behavior. When the processor determines that motion is detected by multiple sensors, it confirms actual motion and triggers appropriate responses; when sensors provide conflicting information, it suppresses false alarms, thereby optimizing battery usage based on real-time detection accuracy.
2Reliability
If the IR sensor triggers video recording on motion detection, then motion monitoring is improved, but unnecessary video recording occurs due to false positives
Solution Approach 1:
The patent merges data from multiple sensor sources before triggering video recording. The processor requires confirmation from multiple sensors (e.g., both IR and radar sensors detecting motion) before activating the video recording function, ensuring that only genuine motion events are captured and stored.
Solution Approach 2:
The system performs preliminary verification by cross-checking multiple sensor readings before committing to video recording. This preliminary action of validating motion across different sensor types prevents unnecessary video storage while ensuring that actual motion events are properly recorded.
3Measurement precision
If motion detection sensitivity is increased, then detection capability is improved, but false positive rate increases
Solution Approach 1:
The patent combines multiple sensor inputs to achieve high detection sensitivity without proportionally increasing false positives. Each sensor can operate at high sensitivity, and their combined data is processed to confirm actual motion, effectively filtering out false alarms that would occur with single-sensor high-sensitivity operation.
Solution Approach 2:
The system dynamically adjusts detection parameters based on the consensus of multiple sensors. When multiple sensors indicate motion, the system lowers the threshold for confirming actual motion; when sensors provide conflicting data, it raises the threshold, effectively adapting the sensitivity parameter to reduce false positives while maintaining high detection capability.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach significantly reduces false positive notifications and battery drain by ensuring only relevant motion is recorded and reported, enhancing user experience and system efficiency.
Implementation Method 1
The IR sensor can be used to detect motion in an infrared portion of the electromagnetic spectrum
Implementation Method 2
determining a second indication of the motion of the first object in the area based on a second sensor that is responsive to wavelengths in a second, non-visible light region of the electromagnetic spectrum
Data Source
AI summary
A first one or more sensors are used to sense a presence of motion of one or more objects in an area. A second one or more sensors are used to sense an absence of motion in the area. One or more computer processors are used to generate information describing the presence of motion sensed using the first one or more sensors and the absence of motion sensed using the second one or more sensors. An artificial intelligence module is used to generate an adjustment to one or more motion detection thresholds of at least one of the first one or more sensors or the second one or more sensors based on the information. The at least one of the first one or more sensors or the second one or more sensors are caused to be configured using the adjustment to the motion detection thresholds.