Control Panel Facial Recognition for Cloud-Linked Security Events
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Solution Overview
Problem
Existing security/automation systems are limited by physical hardware constraints, requiring updates from dealers and lacking seamless integration with cloud-based intelligence and sensors that can communicate directly to the cloud, limiting scalability and flexibility.
Innovation Solution
A deconstructed security/automation system with cloud-based intelligence, where sensors communicate directly to the cloud via cellular networks, and a control panel with built-in microphones and cameras performs facial recognition and event detection, integrating with user devices for flexible control and monitoring.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If sensors communicate directly to the cloud via cellular networks, then system flexibility and scalability are improved, but device complexity increases
Solution Approach 1:
The system is divided into independent components: sensors that communicate directly to the cloud via cellular networks, and a separate control panel that processes data locally. This segmentation allows sensors to be flexible and scalable without increasing the complexity of individual devices, as each component operates independently with defined interfaces.
2Measurement precision
If facial recognition is performed using still images or videos captured by cameras, then user identification accuracy is improved, but processing time increases
Solution Approach 1:
The control panel captures still images or videos in advance when security events occur, storing them for later facial recognition processing. This preliminary capture action allows the system to have identification data ready without delaying the security response, as processing can occur concurrently or after the critical detection phase.
3Adaptability or versatility
If cloud-based intelligence is integrated into the security system, then system versatility is improved, but loss of information increases due to network dependency
Solution Approach 1:
The control panel serves as an intermediary between sensors and the cloud, performing local processing and caching of security data. This intermediary role ensures that even when network connectivity is lost, the system can continue to function using locally stored information, while still providing access to cloud-based intelligence when available.
Data Source
AI summary
Example implementations include a method, apparatus, and computer-readable medium comprising determining, by a processor of a control panel, that a security event has happened, wherein the security event is associated with a user identification or authentication; capturing one or more still images or videos by at least one camera in the control panel subsequent and in response to determining that the security event has happened; and using the one or more still images or videos to perform facial recognition.


