Dynamic Detection Distance Calibration for Terminal Devices
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Solution Overview
Problem
Existing detection distance calibration methods in terminal devices rely on fixed calibration thresholds, which fail to adapt to changing external environments, leading to inaccurate detection and mistaken trigger phenomena due to obstacles within the effective detection range.
Innovation Solution
A method and apparatus that dynamically calibrate the detection distance by determining a reference strength value from collected detection signals, using either an average strength value or a sum with a fixed parameter, and adjusting the calibration threshold based on environmental stability to ensure accurate detection.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a fixed calibration threshold is used to determine detection distance, then the calibration process is simple and fast, but the detection accuracy deteriorates when external environment changes
Solution Approach 1:
The calibration threshold is transformed from a fixed value to a dynamic value that adapts to environmental changes. The system continuously collects detection signals, calculates reference strength values, and adjusts the calibration threshold accordingly, enabling the detection system to maintain accuracy under varying external conditions such as different obstacles or environmental factors.
Solution Approach 2:
The system implements a feedback mechanism where detection signals are continuously collected and analyzed. The reference strength value calculated from these signals feeds back to adjust the calibration threshold, creating a closed-loop system that automatically adapts to environmental changes and maintains detection accuracy without manual intervention.
2Reliability
If the terminal device continuously transmits trigger signals to detect obstacles within effective detection distance, then the detection coverage is improved, but mistaken trigger phenomena increase due to fixed calibration threshold
Solution Approach 1:
The calibration threshold parameter is dynamically adjusted based on the reference strength value derived from actual detection signals. This parameter change allows the system to distinguish between valid obstacles and false triggers by adapting the threshold to current environmental conditions, thereby reducing mistaken triggers while maintaining reliable detection coverage.
3Adaptability or versatility
If a fixed calibration threshold is used, then the system operation is simple, but the system cannot adapt to external environment changes
Solution Approach 1:
The system performs self-calibration by automatically collecting detection signals, calculating reference strength values, and adjusting the calibration threshold without user intervention. This self-service mechanism enables the system to adapt to environmental changes autonomously while maintaining operational simplicity for the user.
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 improves the accuracy of detection distance calibration by adapting to environmental changes, reducing mistaken triggers and enhancing the reliability of detection functions in terminal devices.
Implementation Method 1
distance detection may be performed by using an infrared sensing technology
Implementation Method 2
a detection signal is transmitted, and the detection signal is reflected back to the terminal device when encountering an external object
Data Source
Figure 1A~1B
Figure 1C
Figure 1D~1E
AI summary
A detection distance calibration method, apparatus, and device are provided. At least one detection signal is collected (S101); a strength value of the at least one detection signal is determined (S102), where the strength value of the detection signal reflects a length of a detection distance; a reference strength value of the detection signal is determined according to the strength value of the at least one detection signal (S103); a calibration threshold is determined according to the reference strength value (S104), where the calibration threshold is used to determine a calibration range of the detection distance; and the detection distance is calibrated according to the calibration threshold and a strength value of a subsequently collected detection signal (S105). Accuracy of calibrating a detection distance can be improved.