Sequence Number
5
Industry
Retail
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How 5G enabled
Safe environment for both customers and staff created via AI (MV) applications powered by 5G; real-time alerts via proactive detection of unsafe conditions in retail premises
Data Flows
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Devices
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Description
Sensors and cameras (fixed, autonomous mobile robots etc.) to monitor customer behaviour including health incidents
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Connectivity
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Description
Camera images
Audio data -- detect messages and early warnings of incidents (safety and health)
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Edge Compute
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Description
AI (MV) at Edge to detect audio or visual issues for real-time intervention, e.g., automatically alert in-store staff or possibly law enforcement when necessary
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Cloud Compute & Storage
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All historical and real-time data stored in Enterprise owned storage
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Applications & Services
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Description
AI can be applied to predict potential crowd congestions
Track suspicious behaviors & movement
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Inform Decision Makers
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Description
Errors and safety violations reported immediately to operations centre of the site
In-store staff alerted via phones, tablets, or even via alerts overlayed over smart glasses about safety issues as soon as they arise; and are given instructions for reaction and damage mitigation
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Support Decision Making
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Description
End of process
Application Logic
Description
Cameras deployed on-site to gather video and image data
Audio sensors deployed to capture and identify abnormal audio activity
Ensure AED (Automated External Defibrillator) equipment is available at the store premise
Description
5G’s large bandwidth enables the transfer of large data sets for processing in real-time
Real-time high-resolution images and video data gathered will assist AI in its processing accuracy. MV will consume these image and video data as inputs to analyse movement patterns, congestion formation etc.
Having access to historic data to predict future levels and take action before they occur
Description
AI models will be able to detect suspicious activities and trigger alerts for preventive action
AI model will be improved over time to recognise more behavioral patterns
Shared data across multiple stores with facial recognition could detect and alert suspicious characters and alert the right authorities
Expected benefits
Improved (safer) experience for customers
Safer working environment positively impacting in-store staff retention
Lower operating costs (reduction of theft, and thus inventory shrinkage)