Zone-Based Detection of Persons and Objects With Stay-Time Analysis
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Solution Overview
Problem
Existing methods for detecting persons and objects in two- or three-dimensional areas lack the ability to differentiate temporal recording within defined zones, integrate personalized and aggregated information, and perform comprehensive algorithmic analysis of movement behavior.
Innovation Solution
The method involves defining individually identifiable zones within a presence area, using various sensors for detection, determining location, time, and duration of stay, and assigning specific data to detected individuals or objects, enabling real-time analysis of movement patterns and dynamic adjustment of zones.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If existing sensor methods are used for detection, then location detection is achieved, but temporal recording and comprehensive movement analysis are not possible
Solution Approach 1:
The presence area is segmented into multiple individually definable presence zones with specific coordinates, allowing differentiated temporal recording and analysis of movements within distinct spatial regions rather than treating the entire area as a single detection zone
Solution Approach 2:
The system adds temporal dimension to spatial detection by recording not only location but also time and duration of stay in each presence zone, enabling four-dimensional tracking (x, y, z, t) of movements rather than purely spatial monitoring
2Loss of information
If comprehensive data collection is implemented, then movement pattern analysis is enabled, but data integration complexity increases
Solution Approach 1:
The system merges multiple data dimensions (location coordinates, timestamp, duration of stay, person/object identifiers) into unified movement records, and further integrates pre-collected personalized data with detected movement data to create comprehensive profiles without requiring separate processing systems
Solution Approach 2:
The detection system is designed to universally handle multiple types of detected entities (persons and objects) with the same technical approach, using identical sensor integration, data recording, and analysis methods regardless of the specific object type being monitored
3Productivity
If real-time tracking is implemented, then location display is achieved, but differentiated temporal analysis within zones is not possible
Solution Approach 1:
Presence zones are pre-defined with specific coordinates and boundaries before detection begins, allowing the system to immediately record and analyze temporal patterns (entry/exit times, duration of stay) as movements occur rather than requiring post-processing analysis
Data Source
Figure 1
AI summary
The present invention relates to a method for detecting persons and/or objects in a two- or three-dimensional location area (A), wherein a) one or more location zones (Z) are individually definable and/or defined within the location area (A), wherein b) at least one person and/or at least one object is detected within a defined location zone (Z) or several defined location zones (Z) by means of at least one sensor (S), wherein c) when detecting the person and/or the object, both the cc) location position and dd) the time of stay and/or the duration of stay of the person and/or the object within one or more location zones (Z) are determined.