RF Network Presence Sensing for Fiducial-Free Person Detection

Resolve Bottlenecks,
Find Innovative SolutionsGenerate Solutions

Solution Overview

Problem

Existing object tracking systems, particularly Network Presence Sensing (NPS) systems, face challenges with high computational demands and resource overhead, limiting their applicability and accuracy, especially when fiducial elements are not available or properly attached.

Innovation Solution

A method that combines signal absorption and forward scatter analysis in a wireless communications network to detect biological masses, such as humans, without relying on fiducial elements, using transceivers to create baseline signal profiles and compare them with real-time data for location tracking, assisted by fiducial elements when available.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If Network Presence Sensing systems use signal absorption and forward scatter analysis to detect biological masses, then detection accuracy improves, but computational loading increases

Engineering Contradiction:

Improvedetection accuracyVSAvoidcomputational loading

Core Design Contradiction:

Measurement precisionVSPower

Solution Approach 1:

The system performs preliminary actions by creating baseline signal profiles during training phases before actual detection operations. These baselines capture environmental characteristics and signal propagation patterns, allowing the system to compare real-time signals against pre-computed references rather than performing complex real-time analysis, thereby reducing operational computational loading while maintaining detection accuracy

Inventive Principle:

Principle #10Preliminary action

Solution Approach 2:

The detection process is segmented into distinct phases: training phase for baseline creation, detection phase for signal comparison, and verification phase for result validation. This segmentation allows computational resources to be concentrated during training when high processing power is needed, while operational detection uses lighter comparison operations, resolving the contradiction between accuracy and ongoing computational loading

Inventive Principle:

Principle #1Segmentation

2Measurement precision

If fiducial elements are used to assist tracking, then location determination precision improves, but device complexity and overhead increase

Engineering Contradiction:

Improvelocation determination precisionVSAvoidsystem overhead

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

Fiducial elements serve as intermediaries between the tracking system and target objects. These elements simplify the detection process by providing known reference points that enhance signal characteristics, making it easier to determine location without requiring complex analysis of raw biological mass signals, thus improving precision while adding manageable complexity

Inventive Principle:

Principle #24Intermediary (Mediator)

Solution Approach 2:

The system implements partial use of fiducial elements - they are employed when available to enhance precision, but the system can operate without them by relying on NPS techniques alone. This optional deployment strategy allows the system to gain precision benefits when possible without requiring the complexity of fiducial element management in all scenarios

Inventive Principle:

Principle #16Partial or excessive action

3Adaptability or versatility

If NPS systems process multiple simultaneous tasks with high data requirements, then detection capability improves, but system resource availability decreases

Engineering Contradiction:

Improvedetection capabilityVSAvoidsystem resource availability

Core Design Contradiction:

Adaptability or versatilityVSUse of energy by moving object

Solution Approach 1:

The system performs data processing preliminarily during training operations when resources are more available, creating compressed baseline profiles and pre-computed reference data. During simultaneous detection tasks, these pre-processed baselines enable rapid comparison operations that consume fewer resources, allowing multiple detection tasks to run concurrently without overwhelming system resources

Inventive Principle:

Principle #10Preliminary 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

Reduces computational loading and enhances accuracy in detecting and tracking biological masses by leveraging existing network signals, allowing for precise location determination and differentiation between humans and other objects.

Implementation Method 1

The primary NPS systems and methods for doing such tracking herein are described in U.S. Pat. Nos. 10,064,013 and 9,693,195... use signal absorption, as well as signal forward scatter and reflected backscatter of the RF communication, caused by the presence of a biological mass in a communications network

Methodology Applied

Scientific EffectSignal absorption: Absorption (EM radiation)

Implementation Method 2

use signal absorption, as well as signal forward scatter and reflected backscatter of the RF communication, caused by the presence of a biological mass in a communications network

Methodology Applied

Scientific EffectForward scatter: Scattering

Data Source

PatentUS12449525B2Systems and methods for distinguishing persons from other entities using network presence sensing

Publication Date: 2025.10.21 IVANI LLC

AI summary

Systems and methods for detecting the presence of a body (typically a human) in a network without fiducial elements while additionally using fiducial elements to assist the system and possibly reduce the computational loading on the system. The fiducial element may be used in many ways including, without limitation, assisting in ignoring some bodies present in the detection area and training the system using additional data.