Security Sensor Learning Motion Ranges
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Solution Overview
Problem
Current electronic security systems are inconvenient for users and prone to false alarms, lacking advanced features and user-friendly interfaces, and often require manual operation and configuration.
Innovation Solution
A security system that integrates with a user's television to automatically prompt and configure security sensor settings based on video content, learns acceptable ranges of motion and vibration, and allows remote monitoring, using accelerometers, magnetometers, and network connectivity to enhance user interaction and reduce false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If simple keypads and small displays are used in security systems, then device complexity is reduced, but ease of operation deteriorates
Solution Approach 1:
The patent introduces a television as an intermediary device between the user and the security system. The television's large display and familiar interface serve as a mediator, making security system operations more intuitive and easier to use without increasing the complexity of the core security device.
Solution Approach 2:
The television serves multiple functions: it displays security system information, provides configuration options, shows video content from cameras, and acts as a remote control interface. This multi-functionality consolidates what would otherwise require multiple separate devices into a single universal interface.
2Device complexity
If simple sensors are used in security systems, then device complexity is reduced, but reliability deteriorates due to false alarms
Solution Approach 1:
The patent combines multiple sensor types (accelerometers, magnetometers, vibration sensors) into an integrated sensor system. By merging multiple detection capabilities into a single coordinated system, the overall reliability improves through cross-validation of signals while the combined unit functions as a cohesive component.
Solution Approach 2:
The system implements feedback mechanisms where sensor data is continuously monitored and analyzed. The control unit receives feedback from multiple sensors, processes the information, and adjusts system responses accordingly. This feedback loop enables the system to distinguish between normal activities and actual security threats, reducing false alarms.
3Ease of operation
If manual configuration of security sensors is required, then ease of operation deteriorates, but adaptability is improved
Solution Approach 1:
The system performs preliminary actions by automatically detecting and configuring sensor parameters during installation and setup phases. The control unit proactively learns the environment and sensor characteristics before normal operation begins, eliminating the need for manual configuration while maintaining adaptability.
Solution Approach 2:
The security system provides self-service through automatic sensor configuration and environmental learning. The control unit independently adjusts sensor sensitivity, defines monitoring zones, and adapts to normal household activities without user intervention, making the system both easy to operate and highly adaptable.
4Ease of operation
If the system automatically arms based on video content detection, then ease of operation is improved, but reliability may deteriorate due to automated decisions
Solution Approach 1:
The patent replaces manual mechanical arming operations with automated electronic detection and control. Video content analysis and sensor data processing substitute for manual decision-making, using electronic algorithms to determine when arming is appropriate based on detected patterns and environmental context.
Solution Approach 2:
The system uses feedback from video content analysis, sensor readings, and pattern recognition to make informed arming decisions. The control unit continuously monitors multiple data sources, processes this feedback information, and automatically arms or disarms the system based on learned patterns, maintaining both ease of operation and reliability through intelligent decision-making.
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
The system provides a more convenient and user-friendly security management experience, reducing false alarms by learning and adapting to normal activities, and enabling automatic arming and configuration based on user behavior and environmental conditions.
Implementation Method 1
the security sensor may include one or more accelerometers and/or magnetometers
Implementation Method 2
the security sensor may include one or more accelerometers and/or magnetometers
Implementation Method 3
an amount of vibration of the sensor may be detected during the learning mode, the detected amount of vibration may be set to be a permitted amount of vibration for the sensor
Data Source
AI summary
Methods, systems, and apparatuses for securing property are presented. Video content viewed by a user may be detected, and the user may be automatically prompted to change settings on a security system based on the detecting. A comparison of the current time with the duration of the video content may serve as the basis for such prompting. Additionally, a premise security system may be placed in a learning mode. Changes in position of a security sensor may be detected and used to set a permitted range of motion for the sensor. Further, a plurality of security sensor profiles may be stored, and each profile may identify a different predefined permitted range of motion of a sensor. The addition of a new sensor to a premise may be detected, and a user may be prompted, on a display, to identify a profile to be used for the new sensor.