Customized Intrusion Zones for Security Monitoring
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Solution Overview
Problem
Security camera systems often generate unnecessary notifications in busy areas, leading to important alerts being overlooked due to the high frequency of incidents, making it difficult for users to identify relevant events.
Innovation Solution
Implementing customized intrusion zones using a combination of radar sensors and imaging devices to detect and track objects, allowing users to define specific monitoring areas and receive notifications only for events within those zones, with location data and video feed integration for enhanced situational awareness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If security cameras monitor a large area, then coverage is improved, but notification accuracy deteriorates due to false alarms in busy areas
Solution Approach 1:
The patent divides the monitoring area into multiple intrusion zones with different alert levels. Instead of treating the entire monitored area uniformly, it segments the space into zones based on risk assessment, allowing differentiated notification strategies for each zone. This resolves the contradiction by maintaining broad coverage while improving notification accuracy through selective alerting in high-risk areas.
Solution Approach 2:
The patent applies local quality by assigning different characteristics to different zones. High-risk zones trigger immediate notifications while low-risk zones use different alert mechanisms. This allows the system to maintain comprehensive monitoring coverage while improving notification accuracy by tailoring alert strategies to local risk characteristics rather than applying uniform thresholds across the entire area.
2Reliability
If the system provides frequent notifications for all detected motion, then detection sensitivity is improved, but information quality deteriorates due to noise from non-threatening events
Solution Approach 1:
The patent changes the notification parameters based on the assessed risk level of each intrusion zone. Instead of using a single fixed notification threshold, it dynamically adjusts notification parameters (immediate alert vs. monitored alert) according to the zone's risk characteristics. This resolves the contradiction by maintaining high detection sensitivity for legitimate threats while improving information quality by filtering out noise from low-risk areas through parameter-based differentiation.
3Stability of the object's composition
If the system monitors all areas uniformly, then coverage consistency is improved, but user attention deteriorates due to notification fatigue from irrelevant alerts
Solution Approach 1:
The patent segments the monitoring coverage into different tiers based on risk assessment. While maintaining consistent coverage across all areas, it creates hierarchical notification structures that preserve user attention by directing alerts primarily to high-risk zones. This allows the system to maintain coverage consistency while improving ease of operation by reducing notification fatigue through selective alerting.
Solution Approach 2:
The patent introduces dynamic notification strategies that adapt to the characteristics of different zones. Instead of uniform static monitoring, it implements dynamic alerting that adjusts based on zone risk levels. This maintains coverage consistency while improving user attention by making the notification system adaptive rather than uniform, allowing users to focus on high-risk areas without losing awareness of overall system coverage.
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 solution enables users to focus on relevant events within defined areas, reducing noise and improving the detection of important incidents by providing precise location information and video feeds, thus enhancing security monitoring efficiency.
Implementation Method 1
radar sensors and imaging devices to detect and track objects
Implementation Method 2
radar sensors and imaging devices to detect and track objects
Data Source
AI summary
This disclosure describes, in part, techniques for implementing customized intrusion zones for security monitoring. For instance, a user may provide (e.g., via a GUI) an indication of a physical space to be monitored. An electronic device may detect one or more objects and its respective location from radar data collected by a radar sensor. The electronic device may additionally detect one or more objects within image data captured via a camera. The electronic device may then analyze the radar data and the image data in order to determine that the object detected by the radar sensor includes the same object represented by the image data. As such, the electronic device may send an alert to one or more computing devices that may include the radar data and/or the image data.