Proximity Beacon and Camera System for Retail Theft Detection
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Solution Overview
Problem
Conventional indoor proximity systems, such as iBeacon, lack effective security and safety features for retail environments, particularly in detecting theft and managing customer interactions, and do not efficiently provide personalized promotional materials or enhance the shopping experience.
Innovation Solution
Implementing a system that communicates unique identifiers between proximity beacons and mobile communication devices, combined with facial recognition and time-stamped images, to enhance security, safety, and customer experience by detecting entries and exits, identifying individuals, and providing personalized promotions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional iBeacon proximity systems are used, then basic location tracking is achieved, but security and safety features are insufficient
Solution Approach 1:
The proximity system is enhanced to perform multiple functions beyond basic location tracking, including theft detection through EAS system integration, customer identification via facial recognition, personalized promotion delivery, and emergency safety monitoring. This multi-functional approach resolves the contradiction by making the system versatile enough to handle various retail security and customer service needs while maintaining reliable core proximity detection capabilities.
2Measurement precision
If facial recognition and time-stamped images are implemented, then security identification improves, but system complexity increases
Solution Approach 1:
The patent combines facial recognition cameras, time-stamping mechanisms, proximity beacon detection, and EAS system integration into a unified retail monitoring platform. By merging these previously separate functions into a single integrated system, the patent achieves high identification accuracy while managing complexity through centralized processing and coordinated operation of multiple components working together as one system.
3Measurement precision
If multiple unique identifiers are communicated between beacons and mobile devices, then tracking precision improves, but data processing load increases
Solution Approach 1:
The system performs preliminary processing by capturing and time-stamping customer images at entry points before customers complete their shopping journeys. By pre-processing identification data at the point of capture rather than analyzing all movement data in real-time, the system achieves precise location tracking through beacon identifier communication while reducing the computational burden and processing time required for analyzing customer behavior patterns.
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 inhibits false alarms, improves security by identifying potential thieves, and enhances customer experience through personalized promotions and improved shopping navigation, while also providing real-time safety measures during emergencies.
Implementation Method 1
A first time stamped image of the person is captured using a camera of the proximity system
Implementation Method 2
a proximity sensor detects the presence of the person in proximity to the pedestal
Data Source
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AI summary
Systems (100) and methods (400-1000) for providing store intelligence. The methods involve: communicating a First Unique IDentifier ("FUID") between a beacon of a Proximity System ("PS") disposed adjacent to an EAS system of a facility and a Mobile Communication Device ("MCD") possessed by a person; communicating FUID and a Second UID ("SUID") to an Intelligence System ("IS"), where FUID and SU1D collectively comprise a UID of the beacon and a USD of the MCD; capturing a Time Stamped Image ("TSI") of the person using a camera of the proximity system; communicating TSI to IS for storage; and performing operations at IS to enhance the security/safety of the facility by using FUID to detect an entrance/exit of the person to/from the facility and at least one of SUID and TSI to make a first determination as to an identification of the person.