Sensor Detection Zone Calibration Using Drone Position Tracking
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Solution Overview
Problem
Current security systems face challenges in accurately calibrating detection zones, particularly when sensors are misaligned during installation or over large areas, leading to false or missed alarms due to human error and the need for additional tools and time.
Innovation Solution
A method using a remote-controlled drone to calibrate sensors by detecting its position along the border of the detection zone, allowing the sensor to calculate and configure its operation based on this data, eliminating the need for precise angular alignment and additional equipment.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If predefined detection zones are used with consistent room sizes, then setup time is reduced, but the system becomes sensitive to sensor misalignment and requires additional calibration tools
Solution Approach 1:
The system performs self-calibration by automatically detecting the detection zone boundaries through multiple sensors and computing the appropriate zone configuration without requiring external calibration tools or manual intervention. The sensor system itself gathers the necessary data and adjusts its detection zone parameters autonomously
Solution Approach 2:
The system pre-defines detection zones based on typical room dimensions and configurations, allowing for rapid deployment in standard environments. These predefined zones serve as initial configurations that can be automatically adjusted through self-calibration when installed
2Measurement precision
If manual calibration methods are used with additional tools like compasses and GPS, then detection zone accuracy can be improved, but device complexity and calibration time increase
Solution Approach 1:
The system eliminates the need for external calibration tools by using its own sensor array to detect boundaries and compute zone configurations. The sensor system serves both as the detection device and the calibration tool, removing dependencies on compasses, GPS, or other external apparatus
Solution Approach 2:
The sensor system performs multiple functions: it detects intruders, defines detection zones, calibrates itself, and determines spatial boundaries all through the same sensor array and processing unit, eliminating the need for specialized calibration equipment
3Ease of operation
If manual calibration by users is performed, then detection zone configuration is possible, but human error leads to false or missed alarms
Solution Approach 1:
The system automatically performs calibration without user intervention, eliminating human error entirely. The sensor system gathers boundary data, computes optimal detection zone parameters, and configures itself autonomously, ensuring consistent and accurate results every time
Solution Approach 2:
The system uses multiple sensors to gather feedback about the actual detection zone boundaries and environment, then processes this information to automatically adjust and optimize the detection zone configuration, ensuring accurate alarm triggering without false positives or missed detections
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 simplifies the calibration process, reduces human error, and enables accurate detection zone definition in any room shape without additional tools, ensuring reliable alarm triggering and improved sensor performance.
Implementation Method 1
radar type sensors, for example, it is possible for the sensor to detect intruders even if there are intervening walls or objects
Data Source
Figure 1A~1B
Figure 2
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AI summary
A method of calibrating a sensor (200) for a security system, the method comprising: switching the sensor (200) to a zone calibration mode for configuring the sensor (200) to operate with a detection zone; detecting a moveable object (202) moving along a border of the detection zone, wherein the sensor (200) detects the position of the moveable object (202) as the moveable object (202) moves along the border of the detection zone; calculating zone calibration data for the detection zone based on the detected positions of the moveable object (202); and configuring the sensor (200) to operate using the calculated zone calibration data.