Electrostatic Charge Sensor Anti-Intrusion Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing anti-intrusion systems face challenges in reliably detecting human presence with minimal sensor collaboration, often resulting in false positives and limitations such as inability to detect behind metal objects or in environments with fluorescent lights or slight movements.
Innovation Solution
A system comprising an electrostatic charge variation sensor, a vibration sensor, and/or a pressure sensor, where a processor acquires and analyzes signals from these sensors to detect the presence of a subject, generating a warning signal only when both types of signal characteristics indicative of a subject are detected, thereby enhancing reliability and reducing false alarms.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple sensor technologies are combined for anti-intrusion detection, then detection reliability is improved, but device complexity increases
Solution Approach 1:
The patent combines electrostatic charge variation sensing with vibration sensing in a single integrated system. The processor receives and analyzes signals from both sensor types simultaneously, merging their detection capabilities to improve reliability while maintaining manageable system complexity through unified signal processing.
Solution Approach 2:
The electrostatic charge variation sensor serves multiple functions: it detects both the presence of intruders and their movements. By combining presence detection and motion detection in one sensor type, the system reduces overall complexity while maintaining high reliability through multi-functional sensing.
2Device complexity
If electrostatic charge variation sensor is used alone, then device complexity is reduced, but detection reliability deteriorates due to false positives
Solution Approach 1:
The system uses feedback through cross-validation of signals. The processor analyzes both electrostatic charge variation signals and vibration signals, and only generates an alarm when both sensor types detect intruder presence. This feedback mechanism eliminates false positives from either sensor alone while maintaining simple device architecture.
3Reliability
If dual technology system (PIR and microwave) is used, then immunity to pets is achieved, but device complexity and cost increase
Solution Approach 1:
The patent applies local quality by focusing on specific detection characteristics: electrostatic charge variation for presence detection and vibration patterns for motion detection. By optimizing for these specific local qualities rather than using broad-spectrum sensor types like PIR and microwave, the system achieves pet immunity with simpler, more cost-effective sensors.
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 improved reliability in detecting human presence with reduced false positives and immunity to environmental conditions, such as pets, and offers low power consumption, small size, and ease of integration, while being cost-effective compared to other technologies.
Implementation Method 1
an electrostatic charge variation sensor (6), coupled to the processing unit (2), configured to detect a variation of electrostatic charge in said environment and generate an electrostatic charge variation signal (SQ)
Implementation Method 2
a vibration sensor (7), operatively coupled to the environment to be monitored, to detect an environmental vibration in the environment to be monitored and generate a vibration signal (SA)
Implementation Method 3
an environmental pressure sensor (4), operatively coupled to the environment to be monitored, to detect an environmental pressure in the environment to be monitored and generate a pressure signal (SP)
Data Source
AI summary
A system for detecting a presence in an environment to be monitored includes an electrostatic charge variation sensor, a vibration sensor, and an environmental pressure sensor. A processing unit is configured to acquire, from the electrostatic charge variation sensor, an electrostatic charge variation signal, and detect in the electrostatic charge variation signal, first signal characteristics indicative of the presence of a subject in the environment to be monitored. The processing unit further validates the detection of presence of the subject using the vibration and pressure signals provided by the other sensors.


