Activity Map Generation for Real-Time Customer Behavior Analysis
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing activity situation analysis systems for monitoring areas, such as convenience stores, fail to effectively display how the activity situation of moving objects changes in real-time and lack customization options for user-defined analysis periods, limiting user convenience and insight into customer behavior.
Innovation Solution
An activity situation analysis apparatus that includes a position information acquirer, activity information acquirer, observation condition setter, observation-period-of-time controller, activity information aggregator, activity map image generator, and output controller, allowing for real-time monitoring and customizable analysis based on user-defined observation periods, enabling the generation and display of activity maps integrated with moving images.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the activity map image is generated based on a fixed observation period, then the generation process is simple, but the system lacks adaptability to different user needs and analysis scenarios
Solution Approach 1:
The patent implements dynamic observation period configuration by allowing the observation period to be adjusted according to different analysis needs. The system transitions from a fixed observation period to a dynamic one that can be modified by users or automatically adjusted based on the type of moving object being monitored, thereby improving adaptability without significantly increasing system complexity.
Solution Approach 2:
The patent applies parameter changes by making the observation period a variable parameter that can be changed according to different scenarios. The system allows modification of the observation period parameter to match different analysis requirements, such as using shorter periods for real-time monitoring and longer periods for trend analysis, thus enhancing versatility while maintaining manageable system complexity.
2Loss of information
If the system displays only the current activity situation, then the display is simple, but the user cannot understand how the activity situation changes over time
Solution Approach 1:
The patent applies preliminary action by pre-calculating and storing activity information across multiple time points before the user requests analysis. The system maintains a time-series database of activity maps, allowing users to view historical activity situations and their changes without requiring complex real-time calculations at the moment of display, thus reducing information loss while keeping the display system relatively simple.
Solution Approach 2:
The patent adds a time dimension to the activity map display by showing not only the current activity situation but also historical activity situations and their changes over time. This transforms the display from a single static snapshot to a dynamic multi-temporal visualization, enabling users to understand activity trends without significantly complicating the display system architecture.
3Measurement precision
If the observation period is extended to capture more activity data, then the analysis comprehensiveness is improved, but the real-time responsiveness of the system decreases
Solution Approach 1:
The patent implements dynamic adjustment of the observation period length based on the type of moving object and analysis requirements. For applications requiring high real-time responsiveness like security monitoring, the system uses shorter observation periods. For applications requiring higher measurement precision like behavioral pattern analysis, the system extends the observation period. This dynamic approach allows the system to optimize between real-time responsiveness and analysis accuracy depending on the specific use case.
Data Source
AI summary
Position information on every moving object is acquired from a moving image of a monitoring area, and activity information during every unit time is acquired from the position information on every moving object. Conditions of an observation period of time are set according to a user input operation, the observation period of time is controlled in accordance with the conditions of the observation period of time, and the activity information during every unit time is aggregated during the observation period of time to acquire the activity information during the observation period of time. An activity map image is generated from the activity information during the observation period of time, and the activity map image and the moving image of the monitoring area are generated and output at every predetermined point in time.