Cloud-Enabled Security Control Panels for Event-Triggered Facial Recognition
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Solution Overview
Problem
Existing security/automation systems are limited by physical hardware constraints, requiring all components to be within radio range and lacking seamless integration with cloud-based intelligence and sensors.
Innovation Solution
A deconstructed security/automation system that moves intelligence to the cloud, utilizing cloud-based computing and storage, and incorporates sensors with cellular communication to enable distributed, virtualized control panels that integrate with various devices and perform facial recognition.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If security systems use traditional hardware-based control panels, then system reliability is maintained, but hardware constraints limit scalability and flexibility
Solution Approach 1:
The patent segments the security system into distributed control panels that can independently operate and communicate with the cloud. Each control panel is divided into modular components (camera, processor, communication module) that can be independently configured and scaled, eliminating the need for a centralized hardware architecture and enabling system expansion without hardware limitations.
Solution Approach 2:
The patent introduces a cloud-based intermediary that mediates between distributed control panels and external systems. The cloud platform handles complex processing, storage, and coordination tasks, allowing control panels to remain simple while achieving high system-level functionality and scalability through virtualized resources.
2Measurement precision
If facial recognition is implemented using existing control panel cameras, then additional hardware costs are reduced, but image quality and recognition accuracy are insufficient
Solution Approach 1:
The patent creates a virtual copy of the camera system through cloud-based image processing. Instead of relying on physical camera upgrades, the system captures images using existing control panel cameras and then enhances image quality through software-based processing, algorithms, and cloud computing resources, effectively copying and improving the imaging capability virtually.
Solution Approach 2:
The patent changes the parameters of image processing by moving from hardware-based capture to software-based enhancement. The system adjusts processing parameters (resolution, lighting correction, feature extraction algorithms) in the cloud to optimize facial recognition accuracy without physically modifying the camera hardware.
3Ease of operation
If all system components must be within radio range, then communication reliability is ensured, but system flexibility and remote access are limited
Solution Approach 1:
The patent adds a new dimension to system communication by introducing cloud-based connectivity as a parallel communication path. Instead of relying solely on radio frequency communication within range, the system uses internet-based cloud communication as another dimension, enabling remote access and data synchronization beyond radio range while maintaining reliability through multiple communication channels.
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.