Smart ATMs running on 5G equipped with cameras and AI can provide added security with facial recognition and detect suspicious behaviour in the surroundings before taking the necessary actions (e.g., alerts, shutting off, etc.).
Data Flows
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Devices
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Description
Cameras will gather high-definition images and video data
Other sensors collect data about the state of the ATM (e.g., lights, function, equipment, etc.)
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Connectivity
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All data collected available on edge
Event data about the status
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Edge Compute
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Description
With 5G, MV and ML applied to monitor status, environment, and internal components in real-time
AI will be required to run autonomously in critical situations 🡪 Call out the police as an example
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Cloud Compute & Storage
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All data is stored in enterprise data storage, where data ownership belongs to the company
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Applications & Services
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Expectation that activities will take place primarily at the edge
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Inform Decision Makers
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Operations team will be informed in real-time in the case of abnormal situations
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Support Decision Making
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End of process
Application Logic
Description
Collect all necessary data to apply AI (ML & MV) to ATM operations to reduce technical issues/damage/ etc:
Cameras gather data of ATM surrounding and users
Other sensors gather data on ATM internal components
Historical data will be stored in Enterprise storage and used to improve AI models.
Description
MV will validate ATM surrounding, analysing normal versus abnormal behaviours using historical data.
MV can be applied for facial recognition to authenticate users and alert if necessary.
Personal data protection of customers will need to be considered and adhered to.
SMEs and data scientists will collaborate to develop models.
Description
Most of the AI work will be Edge based given the real-time nature.
All data is required to be stored in enterprise storage to improve AI model quality.
Expected benefits
5G enables sensor and cameras to be installed with minimal wires
Reduce risks of ATM attacks
Reduce fraudulent transactions
Key value created
Real-time monitoring of ATMs reduces safety risks and improves reaction time