Detection Device False Alarm Masking
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Solution Overview
Problem
Existing surveillance detection systems often trigger false alarms due to similarities between intended events and error events, such as flickering lights or moving shadows, which require manual adjustment of alarm settings and can be time-consuming.
Innovation Solution
A detection device with an image analysis unit that determines event identification data and an alarm unit that issues alerts, along with a calculation unit to identify error event areas and automatically adjust alarm characteristics to exclude these areas from detection, thereby reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If manual adjustment of alarm settings is performed to eliminate false alarms, then false alarm rate decreases, but time consumption increases
Solution Approach 1:
The system automatically identifies error event areas and adjusts alarm characteristics without human intervention. The evaluation unit autonomously analyzes event characteristics, compares them with alarm characteristics, and modifies alarm settings to eliminate false alarms, making the system self-adjusting and eliminating manual configuration time.
Solution Approach 2:
The system continuously monitors event characteristics and uses this feedback to automatically adjust alarm characteristics. By comparing detected event characteristics with stored alarm characteristics, the system learns from false alarm patterns and dynamically modifies alarm settings to prevent recurrence, creating a closed-loop adaptive system.
2Measurement precision
If alarm characteristics are manually adjusted to exclude error event areas, then detection accuracy improves, but operational complexity increases
Solution Approach 1:
The evaluation unit automatically performs the complex task of analyzing event characteristics and adjusting alarm characteristics to exclude error event areas. This self-service capability eliminates the need for operators to manually configure complex alarm parameters, maintaining high detection accuracy while simplifying operation.
Solution Approach 2:
The system pre-stores alarm characteristics and automatically prepares adjusted alarm settings before false alarms occur. By performing preliminary analysis and pre-configuring alarm characteristics based on learned error patterns, the system ensures high detection accuracy is ready in advance without requiring complex real-time operator decisions.
3Reliability
If comprehensive event monitoring is performed across the entire monitoring area, then detection coverage improves, but false alarm rate increases
Solution Approach 1:
The system applies different alarm characteristics to different spatial locations within the monitoring area. By storing and comparing position-specific event characteristics with location-adapted alarm characteristics, the system maintains high detection coverage while reducing false alarms through localized threshold adjustment tailored to each area's typical event patterns.
Solution Approach 2:
The monitoring area is divided into multiple positions with independently configured alarm characteristics. The evaluation unit processes event characteristics for each position separately and compares them with position-specific alarm characteristics, allowing comprehensive coverage while excluding error-prone areas through segmented, location-specific alarm configuration.
Data Source
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AI summary
The invention relates to a detection device (1) for detection of an event in a monitoring region (3), having a camera interface (4) for transferring at least one image, wherein the at least one image displays the monitoring region (3), having an image analysis unit (6), wherein the image analysis unit (6) is designed to determine, based on the image, event specifications for at least any one position in the monitoring region (3), having an alarm unit (15) having alarm specifications, wherein the alarm unit is designed to output an alarm on the basis of a comparison of the alarm specifications with the event specifications, having a storage unit (14), wherein the storage unit (14) is designed to store the event specifications for the at least any one position in the monitoring region (3), having a calculation unit (8) for calculating and/or determining at least one error event region (5) on the basis of the event specifications and the alarm specifications, wherein the error event region (5) is a region of the monitoring region (3) in which the event is detected with chosen alarm specifications, although the event is not present, having a masking unit (9) for automatically modifying the alarm specifications within the at least one error event region (5) and/or for excluding the error event region (5) from the determination of the event specifications by the image analysis unit (6).