Analytical Recognition System Correlating Video and Mobile Data
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Solution Overview
Problem
Current surveillance and video analysis systems lack the capability to effectively analyze user behavior in real-time and post-time scenarios for security, investigative, and marketing purposes, particularly in preventing inventory shrinkage and improving retail operations.
Innovation Solution
An analytical recognition system that combines video cameras and antennae to capture video and mobile communication device data, correlating this information to generate profiles of individuals, including their behavior patterns, visit frequencies, and temporal data, enabling real-time and post-time analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If video monitoring systems store and review video data for security and investigative purposes, then security and investigative capabilities are improved, but the complexity of data management and analysis increases
Solution Approach 1:
The patent introduces an analytical recognition system as an intermediary component between video capture and security analysis. This system includes a data analytics module that automatically processes video data, extracts meaningful information, and generates actionable insights, thereby reducing the manual data management burden while enhancing security capabilities
Solution Approach 2:
The patent replaces manual video review and analysis processes with automated analytical recognition technology. The system uses algorithms and machine learning models to automatically detect patterns, identify suspicious activities, and generate reports, substituting human analysts with automated computational processes that handle large volumes of video data efficiently
2Loss of information
If video cameras continuously stream and store video data for extended periods, then investigative capabilities are improved, but storage requirements and data processing loads increase
Solution Approach 1:
The patent extracts only the essential and meaningful information from continuous video streams using the analytical recognition system. Instead of storing and processing all raw video data, the system identifies and extracts key events, patterns, and anomalies, retaining only this processed information for long-term storage and analysis, thereby reducing storage requirements while maintaining investigative capabilities
Solution Approach 2:
The patent changes the parameter of data representation from raw video frames to extracted features and analytical metrics. By transforming video data into condensed analytical results with higher information density, the system achieves extended retention of meaningful information with reduced storage capacity requirements
3Loss of information
If companies implement comprehensive video monitoring and behavior analysis systems, then user behavior understanding is improved, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent designs the analytical recognition system with multi-functionality to address various user behavior analysis needs through a single unified platform. The system can simultaneously perform multiple functions including behavior pattern recognition, anomaly detection, demographic analysis, and event tracking, thereby improving user behavior understanding without proportionally increasing implementation complexity
Solution Approach 2:
The patent incorporates pre-configured analytical models and templates that are prepared in advance for common behavior analysis scenarios. These preliminary configurations include pre-trained machine learning models, predefined analysis parameters, and template-based reporting structures, reducing the complexity of system implementation by eliminating the need for extensive custom configuration during deployment
Data Source
AI summary
An analytical recognition system includes a video camera, an antenna, and a data analytics module. The video camera is configured to capture video data. The antenna is configured to capture mobile communication device data. The data analytics module is configured to correlate the video data and the mobile communication device data to generate a profile of a person associated with the video data and the mobile communication device data. The profile has profile data including any one or a combination of the captured video data and the captured mobile communication data.