Mobile Terminal Stationary Time Detection for Person Identification
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Solution Overview
Problem
Existing target detection systems fail to correctly associate identification information with person position information when multiple individuals are present, as they cannot accurately match the identification information with the detected position information from image analysis.
Innovation Solution
A detection system comprising a mobile terminal with a motion sensor to detect stationary state duration time and transmit identification information, and a detection device that uses image analysis to detect and compare the stationary state duration time from images, deciding whether to associate the person position with the identification information based on the comparison between the terminal-side and device-side times.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If a detection system uses image analysis to detect person position and tags to acquire identification information, then the system can detect multiple people, but it cannot correctly associate identification information with person position information when multiple people exist
Solution Approach 1:
The patent introduces a time-based intermediary mechanism to bridge the gap between detection devices and mobile terminals. The detection device records the time when a person is detected in the image, and the mobile terminal records the time when its tag is read. By comparing these time values, the system can accurately associate identification information with person position information even when multiple people are present, resolving the ambiguity in matching.
2Measurement precision
If the system uses multiple detection means to accurately associate identification information with person position, then association accuracy improves, but device complexity increases
Solution Approach 1:
The patent makes the time-based association mechanism universal, allowing a single detection device to accurately identify multiple people without requiring separate detection means for each person. The mobile terminal's motion sensor and the detection device's image analysis unit work together using a common time-comparison approach, enabling one system to handle multiple detection tasks efficiently.
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
The system effectively associates person position information with identification information even in the presence of multiple individuals, ensuring accurate matching without the need for multiple detection means.
Implementation Method 1
a terminal-side stationary state detection unit to detect a terminal-side time expressing a duration time of a stationary state of the mobile terminal with using a motion sensor
Implementation Method 2
a position detection unit to detect a person position from an image by image analysis of the image photographed by a photographing device
Data Source
AI summary
A mobile terminal (10-1) detects a terminal-side time (TC) being a duration time of a stationary state of the mobile terminal (10-1) with using a motion sensor. The mobile terminal (10-1) transmits the terminal-side time (TC) and identification information which identifies the mobile terminal (10-1) to a detection device (20-1). The detection device (20-1) detects a person position from an image by image analysis, detects a device-side time (TS) being a duration time of a stationary state of a person existing in the image by image analysis, and compares the device-side time (TS) with the terminal-side time (TC). The detection device (20-1) decides whether or not to associate the person position with the identification information in accordance with a comparison result of the terminal-side time (TC) and the device-side time (TS).