Two-way intercept via coordinate tracking and video classification
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Solution Overview
Problem
Current technologies face challenges in providing efficient and error-free personalized customer service upon customer arrival at institutions, as there is a lag time between arrival and service provision, and the process is prone to user errors due to the need for identifying information.
Innovation Solution
A system combining coordinate tracking and video classification engines to predict customer arrival and facilitate real-time two-way intercepts, using geofences and facial recognition to alert staff and provide pre-populated customer information, reducing waiting times and improving security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of time
If manual identification processes are used to recognize customers upon arrival, then the system complexity is reduced, but the waiting time increases and errors occur due to manual data entry requirements
Solution Approach 1:
The system performs preliminary actions by tracking customer location via mobile devices before arrival and pre-loading customer information into the branch system. The coordinate tracking engine continuously monitors customer proximity to the branch, and the notification engine prepares customer data in advance, so that when the customer arrives, identification is already initiated and information is ready for immediate service.
Solution Approach 2:
The patent replaces manual mechanical identification processes with automated electronic systems. Instead of manual customer identification and data entry, the system uses coordinate tracking engines to automatically detect customer arrival via mobile device location, video classification engines to capture and recognize customers visually, and automated notification engines to deliver information electronically to staff devices.
2Measurement precision
If automated coordinate tracking and video classification systems are implemented, then customer identification accuracy improves, but the device complexity and initial setup requirements increase
Solution Approach 1:
The system achieves multi-functionality by having the notification engine serve multiple purposes: it receives customer location data from coordinate tracking, triggers video capture events, retrieves customer information from databases, and delivers notifications to staff. This single engine handles data collection, processing coordination, and communication functions that would otherwise require separate systems.
Solution Approach 2:
The notification engine acts as an intermediary component that coordinates between the coordinate tracking engine, video classification engine, and staff devices. It receives data from tracking and video systems, processes and correlates this information with customer records, and then delivers integrated notifications to appropriate staff members, simplifying the overall system architecture.
3Reliability
If real-time video capture and facial recognition are used, then security improves by verifying customer identity, but the system complexity and processing requirements increase
Solution Approach 1:
The system performs preliminary security measures by capturing customer images and data before the actual service interaction. The video classification engine captures images when the customer enters the branch vicinity, and the notification engine prepares and transmits this visual identification data to staff devices in advance, so security verification is already initiated before the customer reaches the service counter.
Solution Approach 2:
The patent replaces manual security verification procedures with automated electronic systems. Instead of manual ID checking and physical verification, the system uses coordinate tracking to detect customer approach, video classification to capture and recognize customer faces automatically, and electronic notification to transmit this data to staff devices, eliminating manual security checks.
Data Source
AI summary
A system comprising a coordinate tracking engine and a video classification engine communicably coupled to a notification engine. The coordinate tracking engine detects that geographical coordinates of a mobile device indicate that an account holder is within a threshold distance of a physical branch of an institution. The notification engine retrieves account information for the account holder. The coordinate tracking engine further detects that the account holder has arrived at the physical branch. The video classification engine captures video frames of an entrance to the physical branch and identifies the account holder. The notification engine further presents account information for the account holder on a display.