Image Analysis Unit Disturbance Selection for False Alarm Reduction
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Solution Overview
Problem
Image-based event detection devices, particularly those used in fire monitoring, often experience high false alarm rates due to the difficulty in configuring and filtering out error sources, making it labor-intensive for users to exclude or mask critical areas effectively.
Innovation Solution
A detection device with a user-configurable image analysis unit and disturbance variable selection system, allowing users to select and suppress specific sources of error without requiring in-depth knowledge, by adjusting configuration data to prevent false alarms while maintaining detection of actual events.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If masks are used to exclude alarm triggering in critical areas, then false alarm rate is reduced, but configuration complexity and labor intensity increase
Solution Approach 1:
The system automatically performs the masking function by analyzing images and autonomously determining which areas should be excluded from alarm triggering. The image analysis unit processes surveillance images to identify critical areas, and the control unit automatically generates and applies masks to these areas without requiring manual configuration by users, thereby reducing both false alarms and configuration complexity
Solution Approach 2:
The patent replaces the manual mechanical process of configuring masks with an automated image processing system. Instead of users manually drawing or defining mask areas, the system uses image analysis algorithms to automatically identify and mask critical areas based on image content, substituting manual configuration with automated computational analysis
2Measurement precision
If manual configuration of masks is required, then detection accuracy is improved, but ease of operation deteriorates
Solution Approach 1:
The system performs self-configuration by automatically analyzing surveillance images to identify areas that require masking. The image analysis unit autonomously determines which regions should be excluded from alarm triggering based on image content, eliminating the need for manual user configuration while maintaining accurate detection by automatically adapting to the specific surveillance environment
3Speed
If image-based detection is used, then detection speed is improved, but false alarm rate increases
Solution Approach 1:
The system extracts and isolates the problematic areas that cause false alarms by automatically generating masks that exclude these regions from alarm triggering. The image analysis unit identifies areas with persistent false alarm patterns, and the control unit extracts these areas by applying masks, thereby separating the false alarm sources from the detection process while maintaining rapid image-based detection of actual events
Solution Approach 2:
The patent introduces masks as an intermediary element between the image analysis unit and the alarm triggering mechanism. These masks act as a filtering layer that selectively blocks alarm generation in identified critical areas while allowing normal detection operations to proceed, thus mediating between rapid image-based detection and false alarm reduction
Data Source
Figure 1
Figure 2a~2b
AI summary
Detection device 6 for detecting an event in a monitoring area 1, with an acquisition interface for acquiring at least one image 4, wherein the image 4 shows a scene of the monitoring area 1, with an image analysis unit, wherein the image analysis unit has configuration data and is configured to examine and detect the scene of the monitoring area 1 for the presence of the event based on the image 4 and the configuration data, characterized by a disturbance selection unit and a configuration unit, wherein the disturbance selection unit has a plurality of disturbances 8 selectable by a user, wherein the disturbances 8 constitute potential sources of error in the detection of the event in the scene, wherein the configuration unit is configured to control the configuration data of the image analysis unit to suppress the associated source of error based on the selected disturbance (12a,b,c).