Wireless Intrusion Detector False Alarm Filtering
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional wireless sensor networks for intrusion detection systems face challenges in differentiating between true alarms and false alarms, leading to battery energy consumption and operator overload due to natural phenomena triggering sensors, which results in decreased system confidence and potential missed true alarms.
Innovation Solution
An autonomous wireless intrusion detection method that uses motion sensors and digital cameras to capture full-size and reduced-size images, with image-descriptive information like hashes, and performs a false alarm test to determine the validity of alarms before sending data to the network entity, reducing unnecessary data transmission and energy consumption.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If motion sensors trigger digital cameras to capture images for every detected movement, then detection coverage is improved, but battery energy consumption increases due to processing and transmitting大量false alarm images
Solution Approach 1:
The system performs preliminary analysis by generating hash values from image frames before full transmission. This preliminary action filters out false alarms early, preventing unnecessary energy consumption from processing and transmitting complete images of non-threatening movements.
Solution Approach 2:
The invention extracts only the essential identification feature (hash value) from complete images for transmission and further analysis. This extraction principle separates the critical detection function from the bulky image data, reducing energy consumption while maintaining detection effectiveness.
2Loss of information
If digital cameras capture and transmit all alarm images to the control centre, then operator awareness is improved, but operator overload increases due to numerous false alarms from natural phenomena
Solution Approach 1:
The system implements feedback mechanisms where hash values of captured images are transmitted to the control centre for analysis. The control centre can request additional images or dismiss false alarms based on hash comparison, providing selective feedback that reduces operator workload while maintaining awareness of true threats.
Solution Approach 2:
Hash values serve as an intermediary between the sensor field and the control centre. Instead of directly transmitting all images to operators, the hash intermediary enables automated preliminary filtering, reducing the volume of information reaching operators while preserving critical detection data.
3Measurement precision
If the system transmits full-size images for every alarm event, then image quality is improved, but data transmission energy consumption increases significantly
Solution Approach 1:
The system creates a compact copy (hash value) of the image data that preserves essential identification information while occupying minimal space. This copying principle allows the system to maintain image quality where needed while dramatically reducing transmission energy requirements for routine monitoring and false alarm filtering.
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
An autonomous wireless intrusion detector device comprises a movement sensor and a digital camera. In response to detecting a potential movement within a monitored area, the digital camera is triggered to create and store a set of consecutive full-size digital images of the monitored area, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, and a set of reduced-size thumbnail images corresponding to the set of full-size digital images, for the new alarm event. The detector device sends notification of the new alarm event and reduced-size image-related event information to an intrusion detection network entity, and sends the set of full-size images only if requested by the network entity. The network entity prefilters the new event based on the received reduced-size image-related event information, and request thumbnail images and/or full size digital images from the detector device for a further event analysis only if the prefiltering results in a judgement that the new alarm is a true alarm based on the received reduced-size image-related event information.