Smart Glasses ATM Transaction Orchestration
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Solution Overview
Problem
Current systems lack an intelligent mechanism to inform customers whether a desired cash transaction is possible at an ATM, requiring customers to try multiple ATMs, leading to inefficiencies in completing cash transactions.
Innovation Solution
Smart glasses equipped with an AI engine that identifies nearby ATMs capable of processing a transaction, divides the transaction into sub-transactions among multiple ATMs, and guides the customer to the necessary ATMs using augmented reality and UHF radio beacons, ensuring seamless completion of the transaction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If customers manually try multiple ATMs to complete a cash transaction, then they can potentially find an ATM with required denominations, but time consumption and transaction complexity increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-identifying ATMs with required cash denominations before the customer arrives. The AI engine queries the ATM network to determine which ATMs have the required denominations in advance, and this information is provided to the customer through smart glasses, eliminating the need for customers to manually try multiple ATMs.
Solution Approach 2:
The patent introduces an intermediary AI engine that mediates between the customer and the ATM network. This AI engine communicates with multiple ATMs, checks their cash availability, and orchestrates the selection process, thereby shielding the customer from the complexity of manually searching through multiple ATMs.
2Reliability
If customers manually search for ATMs with specific cash denominations, then they can complete the transaction, but the operation complexity and difficulty increase
Solution Approach 1:
The system implements self-service by enabling the smart glasses to automatically query the ATM network, receive cash availability information, and present suitable ATM options to the customer without requiring manual intervention. The customer simply needs to request the service, and the system handles the complex search and selection process autonomously.
Solution Approach 2:
The AI engine acts as an intermediary that handles the complex operation of searching through multiple ATMs, checking their cash availability, and determining the optimal ATM selection. This shields the customer from operational complexity while ensuring reliable transaction completion.
3Productivity
If the system uses AI engine to identify and route to appropriate ATMs, then transaction efficiency improves, but system complexity increases
Solution Approach 1:
The patent applies universality by implementing a multi-functional AI engine that can query multiple ATMs, analyze cash availability, determine optimal routing, and communicate with various devices (smart glasses, ATMs, mobile devices). This single multi-functional component handles diverse tasks, improving productivity while containing system complexity through consolidation.
Solution Approach 2:
The system merges multiple functions (ATM querying, cash availability checking, route optimization, and customer communication) into a single integrated AI engine. This consolidation improves transaction processing speed by eliminating the need for separate systems while managing complexity through unified architecture.
4Reliability
If the system orchestrates multiple ATMs for a single transaction, then cash availability is improved, but the number of components and system complexity increase
Solution Approach 1:
The patent applies segmentation by dividing a large cash withdrawal transaction into multiple smaller sub-transactions, each executed at a different ATM. For example, a $10,000 withdrawal requiring various denominations is split into separate withdrawals at different ATMs, each handling specific denomination requirements. This ensures cash availability while managing system complexity through modular transaction handling.
Solution Approach 2:
The system applies local quality by assigning specific denomination requirements to specific ATMs based on their individual cash availability. Each ATM is optimized for its local capability, and the AI engine matches transaction requirements with appropriate ATM characteristics, ensuring reliable cash availability while involving only the necessary number of ATMs.
Data Source
AI summary
This disclosure relates to an intelligent smart glasses that may be worn by a customer. The smart glasses may sense cash information on automated teller machine (“ATM”). The smart glasses may accordingly split up a cash transaction across various ATM units in close to proximity to the customer. The smart glasses may split a requested cash transactions among various ATMs so that if the desired amount/denomination of cash is not available at an ATM to the customer, the customer is seamlessly directed to one or more other ATMs that are capable of dispensing the desired amount of cash.