Multi-Sensor Security Tag for Abnormal Movement Detection
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Solution Overview
Problem
Conventional Electronic Article Surveillance (EAS) systems and indoor proximity systems, such as iBeacon, are limited in their ability to provide real-time, two-way communication and predictive analytics for enhancing customer experience and security in retail environments, as they rely on passive security tags and lack advanced sensor data analysis for abnormal movement detection.
Innovation Solution
Implementing a system with security tags equipped with multiple sensors (proximity, temperature, accelerometers, liquid, light, and magnetic field sensors) that transmit data via Short Range Communication networks, allowing for real-time analysis of sensor data to differentiate between normal and abnormal movements, and triggering appropriate security or customer service responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If conventional passive security tags are used in EAS systems, then the system structure remains simple and cost-effective, but the system lacks real-time two-way communication capability and advanced sensor data analysis
Solution Approach 1:
The security tag is transformed into a multi-functional device that combines traditional EAS functionality with sensor data collection, wireless communication, and predictive analytics capabilities. The tag now serves both security monitoring and customer experience enhancement purposes, enabling real-time two-way communication between the tag and the system.
Solution Approach 2:
Wireless communication modules serve as intermediaries between the passive security tags and the central system, enabling real-time data transmission without physical connections. This intermediary layer facilitates two-way communication while maintaining system modularity and reducing direct system complexity.
2Measurement precision
If advanced sensor data analysis is implemented to detect abnormal movements, then predictive analytics and customer experience enhancement are improved, but the device complexity and processing requirements increase
Solution Approach 1:
The sensor data analysis function is segmented into multiple components: individual sensors detect specific parameters (acceleration, temperature, light), the wireless module transmits data, and the central system performs predictive analytics. This segmentation distributes complexity across multiple independent modules rather than concentrating it in a single device.
Solution Approach 2:
The system employs machine learning algorithms that automatically learn normal movement patterns and autonomously identify abnormal behaviors without requiring manual programming of detection rules. This self-service capability reduces the complexity of implementing precise detection while maintaining high measurement accuracy.
3Adaptability or versatility
If multiple sensors are integrated into security tags for comprehensive data collection, then the predictive analytics capability is improved, but the device complexity and manufacturing difficulty increase
Solution Approach 1:
A standardized multi-functional tag platform is developed that integrates multiple sensor types (accelerometers, temperature sensors, light sensors) into a single manufacturable unit. This universal platform can be produced through standardized manufacturing processes and applied across different retail scenarios, improving adaptability while maintaining ease of manufacture.
Solution Approach 2:
Multiple sensor functions are merged into a single integrated tag unit that can be manufactured as one component. The combination of EAS functionality, environmental sensing, and wireless communication is achieved through integrated circuit design and compact sensor arrays, reducing the number of separate manufacturing steps required.
4Reliability
If real-time monitoring and analysis of security tag movements is implemented, then facility security is improved, but the energy consumption and processing power requirements increase
Solution Approach 1:
Instead of continuous monitoring, the system uses periodic sampling of sensor data at strategically chosen intervals. The wireless communication and data transmission occur periodically rather than continuously, reducing energy consumption while maintaining sufficient security monitoring effectiveness through event-triggered updates.
Solution Approach 2:
The system uses edge computing capabilities where the security tag itself performs preliminary data filtering and anomaly detection before transmitting results. This self-service approach at the edge reduces the volume of data requiring transmission and processing, thereby reducing energy consumption while maintaining high security reliability.
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 enhances retail security by detecting potential theft and providing personalized customer experiences through predictive analytics, improving loss prevention and customer service by issuing alarms, capturing images, and providing promotional materials based on sensor data analysis.
Implementation Method 1
The sensor data may relate to movement of the security tag by at least one sensor of a plurality of sensors disposed in the security tag
Implementation Method 2
changes in a magnetic field strength generated by the security tag
Data Source
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AI summary
System (100) and method for providing store intelligence. The methods involve: generating sensor data relating to movement of a security tag (122) by at least one sensor of a plurality of sensors (126) disposed in the security tag; analyzing, by an electronic device (140) remotely located from the security tag, the sensor data to determine if the security tag is currently being moved in an abnormal manner; and selectively performing, by the electronic device, first operations facilitating facility security if a determination is made that the security tag is currently being moved in an abnormal manner.