Security System Intrusion Estimation Using Illumination Zones
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Solution Overview
Problem
Existing security systems face challenges in reducing 'false positives' and increasing 'true positives' for intruder detection, as they often incorrectly detect objects without malicious intent and fail to detect those with malicious intent.
Innovation Solution
A security system that estimates intrusion probability by analyzing illumination levels in different subspaces of a space, using sensors to detect motion and a processor to evaluate the likelihood of intrusion based on motion patterns in subspaces with varying illumination levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If traditional motion detection sensors are used to detect objects in a space, then the system can detect presence and motion of objects, but the system produces false positives by detecting objects without malicious intent
Solution Approach 1:
The patent divides the monitored space into multiple subspaces with different illumination levels (first subspace with lower illumination I1, second subspace with higher illumination I2). By analyzing motion patterns specifically in the lower-illuminated first subspace, the system can better distinguish between objects with and without malicious intent, thereby reducing false alarms while maintaining detection accuracy.
2Object-generated harmful factors
If traditional motion detection sensors are used to detect objects in a space, then the system can detect presence and motion of objects, but the system fails to detect objects with malicious intent
Solution Approach 1:
The system focuses detection analysis on motion patterns in the first subspace (lower illumination area) where objects with malicious intent are more likely to be located. This targeted approach in specific subspaces with different illumination characteristics improves the detection of true intrusions while maintaining overall system reliability.
3Adaptability or versatility
If the system monitors all subspaces uniformly, then the system can detect all motion, but the system cannot distinguish between objects with and without malicious intent
Solution Approach 1:
The patent applies different analysis criteria to different subspaces based on their illumination characteristics. By evaluating motion patterns specifically in the first subspace (lower illumination) versus the second subspace (higher illumination), the system gains the ability to estimate intrusion probability and differentiate between objects with and without malicious intent.
Solution Approach 2:
The system adds the dimension of illumination level as a new parameter for analysis. By considering not just the presence of motion but also the illumination level of the subspace where motion occurs, the system can estimate intrusion probability and differentiate between different types of objects.
Data Source
AI summary
A security system (100) and method (500) for estimation of intrusion by an object (110) in a space (120) are provided. The security system comprises a processor (130), configured to obtain information of the illumination of a first subspace (140) of the space having a first level of illumination, I1, within a first light intensity interval, R1, and to obtain information of the illumination of a second subspace (200) of the space, being spatially separated from the first subspace and having a second level of illumination, I2, within a second light intensity interval, R2, wherein max (R1)<min (R2), a sensor (160) communicatively coupled to the processor, wherein the sensor is configured to detect motion of the object, wherein the processor is configured to estimate a first level of probability, LP1, of intrusion by the object in the space based on a detected motion of the object, by the sensor, in the first subspace; estimate a second level of probability, LP2, of intrusion by the at least one object in the space based on a detected motion of the at least one object, by the N at least one sensor, in at least one of the at least one second subspace, wherein LP1>LP2.