Static Surveillance System Pivoting Detection via Reference Comparison
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Solution Overview
Problem
Static surveillance systems in traffic areas face challenges in detecting changes in their own orientation or displacement, which can lead to inaccurate measurement results due to potential pivoting or misalignment.
Innovation Solution
A method involving the creation of reference and comparison images using a signal transmitter and receiver system, with an evaluation circuit that identifies reference points, determines reference and comparison values, and outputs an error signal if deviations exceed a threshold, allowing for detection of system pivoting by analyzing changes in signal reflections in a polar coordinate grid.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the monitoring system operates continuously to detect moving objects, then the monitoring capability is maintained, but the system cannot detect its own pivoting or displacement
Solution Approach 1:
The patent uses static reference objects in the monitored environment as intermediaries to detect system pivoting. By tracking the positions of these fixed reference objects in comparison images against reference values, the system can indirectly detect its own orientation changes without requiring additional self-diagnosis hardware
Solution Approach 2:
The system creates a reference image copy of the static environment during installation and stores reference values for comparison. This copied reference state allows the system to detect deviations caused by pivoting by comparing current comparison images against the stored reference, enabling self-diagnosis through environmental copying rather than direct self-measurement
2Measurement precision
If individual reference points are compared to detect pivoting, then detection accuracy is improved, but computational effort increases significantly
Solution Approach 1:
The patent combines multiple reference point data into aggregate reference values such as center of gravity coordinates, moment of inertia, or other holistic parameters. By comparing these combined values rather than individual points, the system maintains pivoting detection accuracy while significantly reducing computational complexity
Solution Approach 2:
The system transforms the raw reference point data into different parameter representations (e.g., from individual point coordinates to aggregate metrics like center of gravity or moment of inertia). This parameter transformation allows detection of pivoting through comparison of simplified values rather than complex point-by-point analysis
3Measurement precision
If the threshold value is set low to detect small deviations, then detection sensitivity is improved, but false alarms increase due to temporary covering of static objects
Solution Approach 1:
The system performs preliminary analysis by checking the temporal consistency of deviations. Before triggering an alarm, the system verifies whether deviations persist across multiple comparison images or are transient. This preliminary temporal filtering allows sensitive detection of real pivoting events while filtering out false alarms from temporary object covering
Solution Approach 2:
The system uses feedback from multiple consecutive comparison operations to distinguish real pivoting from temporary disturbances. By analyzing the pattern and persistence of deviations across time, the system can maintain low threshold sensitivity while using feedback mechanisms to suppress false alarms caused by transient conditions
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 method enables reliable detection of system pivoting, reducing computational effort and allowing for timely maintenance, while dynamically adjusting to environmental changes and variations in signal reflections.
Implementation Method 1
a signal transmitter (14) for emitting a signal (18) and a signal receiver (16) for receiving the signal (18) from the signal transmitter (14) reflected by an object (20)
Data Source
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AI summary
The invention relates to a method for checking a static surveillance system (10) installed in a traffic area (12) with a signal transmitter (14) for emitting a signal (18) and a signal receiver (16) that can receive the signal (18) reflected by an object (20, 30) of the signal transmitter (14), and with an evaluation circuit (24) that can create an image (26) of the environment from the received signal (18), comprising the following steps: - Creating a reference image (26) from the reflections (28) of static objects (20) in the space (12) to be monitored by the surveillance system (10);- Determining and storing at least one reference value from the reflections (28) of the reference image (26), then - creating a comparison image from the reflections (28) of static objects (20) in the room (12) to be monitored by the monitoring system (10), wherein the comparison image is taken with a time delay after the reference image (26), - determining at least one comparison value from the reflections (28) of the comparison image, - comparing the comparison value with the reference value and outputting an error signal if a deviation between the comparison value and the reference value exceeds at least a threshold value. The invention further relates to a static monitoring system that can be checked using such a method.