WiFi Motion Detection Device Segmentation

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Solution Overview

Problem

Current methods for configuring WiFi motion detection systems in local area networks are lacking in clarity and intuitiveness, leading to configuration errors and poor performance due to uncertainty about which devices to include or exclude.

Innovation Solution

A system and method for determining device mobility using signal characteristic analysis, distinguishing between stationary and moving devices based on signal changes, and configuring a motion detection network accordingly.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Area of stationary object

If all devices are included in the motion detection system, then the system coverage is maximized, but the system accuracy deteriorates due to inclusion of moving devices

Engineering Contradiction:
Improvesystem coverageVSAvoidmotion detection accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The patent segments the network devices into two distinct groups: stationary devices suitable for motion detection and moving devices to be excluded. This segmentation is achieved by analyzing signal characteristic data over time to identify which devices remain in fixed positions. By dividing the device population into these categories, the system maintains comprehensive coverage of all devices while ensuring only appropriate stationary devices are used for motion detection, thereby resolving the contradiction between maximizing coverage and maintaining accuracy.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If manual configuration is required to select devices, then system accuracy can be optimized, but the ease of operation deteriorates due to configuration complexity

Engineering Contradiction:
Improvemotion detection accuracyVSAvoidconfiguration simplicity
Core Design Contradiction:
Measurement precisionVSEase of operation

Solution Approach 1:

The patent implements a self-service mechanism where the system automatically analyzes signal characteristic data from all network devices and autonomously determines which devices are stationary and suitable for motion detection. The system performs this classification without requiring user intervention or manual configuration. This self-service approach eliminates the complexity of manual device selection while maintaining high accuracy in identifying appropriate motion detection devices, thus resolving the contradiction between optimization and ease of operation.

Inventive Principle:
Principle #25Self-service

Solution Approach 2:

The patent performs preliminary analysis of signal characteristic data during the initial system setup phase to automatically identify and classify stationary devices before the user needs to configure the motion detection system. By completing the device selection process in advance through automated analysis, the system eliminates the need for complex user configuration steps later, thereby maintaining both high accuracy and ease of operation.

Inventive Principle:
Principle #10Preliminary action

3Reliability

If signal analysis is performed on all devices, then the reliability of device classification is improved, but the productivity deteriorates due to increased processing time

Engineering Contradiction:
Improvedevice classification reliabilityVSAvoidsystem setup speed
Core Design Contradiction:
ReliabilityVSProductivity

Solution Approach 1:

The patent applies partial action by analyzing signal characteristic data from a representative subset of network devices during the initial classification phase, rather than performing exhaustive analysis on every single device. The system analyzes sufficient data to reliably identify stationary devices with consistent signal patterns, without requiring complete analysis of all possible devices. This approach achieves reliable device classification while minimizing processing time and maintaining system productivity.

Inventive Principle:
Principle #16Partial or excessive action

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

Enhances the accuracy and effectiveness of WiFi motion detection by accurately identifying and including only stationary devices, reducing user frustration and improving system performance.

Implementation Method 1

Signals sent to and received from the one or more client devices or one or more access points may be analyzed to determine signal characteristic data

Methodology Applied
Scientific EffectSignal reflection: Reflection

Data Source

PatentUS20250110200A1Methods, systems, and apparatuses for presence detection
Publication Date: 2025.04.03 COMCAST CABLE COMM LLC
  • US20250110200A1 patent drawing
  • US20250110200A1 patent drawing
  • US20250110200A1 patent drawing

AI summary

Methods, systems, and apparatuses for configuring a wireless network are described herein. A wireless network may include a gateway device, one or more access points, and/or one or more client devices. The gateway device, one or more access points, and one or more client devices may be configured for WiFi motion detection. A computing device may determine a group of devices to configure for WiFi motion detection.