Object Quantity Estimation via Terminal Path Prioritization

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Solution Overview

Problem

Existing object quantity estimation systems face accuracy issues when estimating the number of objects in areas with varying terminal detection rates, leading to inaccurate calculations and performance degradation due to the selection order of data processing.

Innovation Solution

An object quantity estimation system that includes a terminal path estimation unit, an object quantity counting unit, a terminal detection rate calculation unit, and an object quantity estimation unit, which estimate the traveling paths of wireless terminals, count objects at fixed points, calculate terminal detection rates, and prioritize paths based on these rates to sequentially estimate object quantities in descending order.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If object quantity is estimated based on terminal detection rates in areas with varying rates, then estimation can be performed across different regions, but accuracy deteriorates significantly when terminal detection rates vary between areas

Engineering Contradiction:
Improveestimation coverage across different areasVSAvoidobject quantity estimation accuracy
Core Design Contradiction:
Adaptability or versatilityVSMeasurement precision

Solution Approach 1:

The patent applies local quality by calculating terminal detection rates separately for each area rather than using a uniform rate across all regions. The object quantity estimation unit computes area-specific detection rates based on local terminal quantities and object quantities, then uses these localized rates to estimate object quantities in each respective area. This resolves the contradiction by adapting the estimation method to local conditions, maintaining accuracy while preserving versatility across different regions with varying detection rates.

Inventive Principle:
Principle #3Local quality

2Device complexity

If data processing is performed without prioritizing paths by terminal detection rates, then processing is simpler, but estimation accuracy deteriorates in areas with small object counts

Engineering Contradiction:
Improvedata processing complexityVSAvoidobject quantity estimation accuracy in small-count areas
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The patent applies preliminary action by prioritizing the processing of paths with higher terminal detection rates before processing paths with lower detection rates. The object quantity estimation unit determines processing priorities based on detection rates and executes estimation operations in this predetermined sequence. This preliminary ordering ensures that areas with more reliable detection data are processed first, providing a foundation that improves accuracy in subsequent processing of areas with smaller object counts and lower detection rates, without adding excessive complexity to the overall system.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS11546873B2Object quantity estimation system, object quantity estimation method, program, and recording medium
Publication Date: 2023.01.03 NEC CORP
  • US11546873B2 patent drawing
  • US11546873B2 patent drawing
  • US11546873B2 patent drawing

AI summary

An object quantity estimation system 100 includes: a terminal path estimation unit 20 configured to estimate the traveling paths of wireless terminals; an actual quantity-of-people counting unit 30 configured to count the actual quantity of people that are located in each of the fixed points; a terminal detection rate calculation unit 40 configured to calculate the terminal detection rate that indicates a relationship between the quantity of the wireless terminals and the actual quantity of people, for each of the fixed points; and an actual quantity-of-people estimation unit 50 configured to determine priorities of the traveling paths, each of which passes at least one of the fixed points, and sequentially estimate the actual quantity of people having traveled on each traveling path, in descending order of the priorities of the traveling paths, based on the terminal detection rates.