Anomaly Detection Using Reflected Light and Image Processing
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Solution Overview
Problem
Conventional security systems require complex and costly sensor setups for anomaly detection, leading to increased workload and costs due to mal-functional sensors, and different sensors are needed for various purposes, resulting in complicated wiring and higher expenses.
Innovation Solution
A system and method utilizing a light reflecting unit, a light-emitting unit, and an image pick-up unit to generate and analyze reflected light signals, comparing them to standard images to determine anomalies, simplifying the detection process and reducing the need for multiple sensors.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If multiple different sensors are used for different monitoring purposes, then the monitoring coverage and functionality are improved, but the device complexity and wiring construction become more complicated
Solution Approach 1:
The patent applies a single image pick-up device that can perform multiple monitoring functions by capturing images and analyzing them through image processing. This universal device replaces the need for multiple specialized sensors (door sensors, window sensors, motion sensors, etc.), thereby reducing device complexity and wiring construction while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The patent uses optical copying through image capture to represent the physical state of the monitored area. Instead of using multiple physical sensors to detect different parameters, the system creates an optical copy (image) that contains information about the entire monitored space, which is then processed to detect anomalies. This copying approach simplifies the sensor system while maintaining comprehensive monitoring.
2Measurement precision
If multiple different sensors are installed for various monitoring purposes, then the detection accuracy for different parameters is improved, but the installation cost and time increase
Solution Approach 1:
The patent employs a single image pick-up device that serves multiple monitoring purposes, eliminating the need to install and cost multiple specialized sensors. The image processing system provides accurate detection for various parameters (door status, window status, motion detection, etc.) through software analysis of a single captured image, thereby reducing installation cost while maintaining detection accuracy.
Solution Approach 2:
The patent replaces multiple mechanical sensors with an optical system (image pick-up device) combined with image processing. Instead of installing multiple physical detection devices, the system uses a single optical device to capture information and processes it through computational methods, reducing installation complexity and cost while maintaining or improving detection accuracy.
3Ease of operation
If security service personnel manually check monitored areas, then the flexibility and response capability are improved, but the workload increases when sensors malfunction
Solution Approach 1:
The patent implements a self-monitoring system where the image pick-up device automatically captures images and the processing module automatically analyzes them to detect anomalies. The system serves itself by automatically detecting door/window status, motion, and other anomalies without requiring manual inspection. This automated self-service capability maintains high response capability while significantly reducing the workload on security personnel.
Solution Approach 2:
The patent establishes a feedback loop where the image processing module continuously monitors captured images and provides real-time information about the monitored area's status. When anomalies are detected, the system can automatically trigger alerts or notifications. This feedback mechanism enables rapid response capability while eliminating the need for manual inspection, thereby reducing personnel workload.
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 enables efficient and cost-effective anomaly detection by simplifying the monitoring process, reducing the complexity of sensor setups, and allowing for real-time remote monitoring with lower installation costs, while maintaining effective security measures.
Implementation Method 1
a light-emitting unit, capable of emitting light onto the light reflecting unit so as to generate reflected light
Implementation Method 2
at least a light reflecting unit, disposed on at least an object to be detected for detecting the position thereof
Implementation Method 3
emitting light from a light-emitting unit onto the light reflecting unit so as to generate reflected light from the light reflecting unit
Implementation Method 4
an image pick-up unit, capable of picking up the reflected light from the light reflecting unit so as to generate an image signal
Data Source
AI summary
An anomaly detection system and a method thereof are disclosed. The system comprises at least a light reflecting unit, a light-emitting unit, an image pick-up unit and a processing module. Each of the light reflecting unit is disposed on an object-to-be-detected that all of which are capable of reflecting light emitted from the light-emitting unit and thus cooperatively generating a reflection image relating to the object-to-be-detected to be received by the image pick-up unit for enabling the same to generate an image signal accordingly. The image signal is then transmitted to the processing module where it is analyzed and compared with a standard image signal so as to determine whether the position of the object-to-be-detected is abnormal.