Ambient Intelligence_ATCOM Next
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The document outlines the concept of ambient intelligence aimed at enhancing customer service in smart shops and food services by offering personalized experiences and real-time service synchronization. It describes specific use cases, such as a coffee order system using iBeacon technology, where user preferences are automatically displayed to the bartender, and an efficient burger ordering system that notifies users when their orders are ready. The underlying technologies include mobile apps, event streaming, and cloud services that ensure seamless interaction between users and machines.
Ambient Intelligence_ATCOM Next
- 2. Scope Intended for Smart Shops, Food Services, and more Increase the quality and speed of service. Gives a cost-efficient opportunity to give customers a more personalized service experience. Create an attraction for larger audience
- 3. Challenges Integrating the physical to digital realm Synchronization of multiple services and needs in real time. Provide seamless ubiquitous interaction between people and machines High performance.
- 4. Coffee User has submitted his coffee preferences User approaches the bar (iBeacon technology) In a few seconds, users preferences are displayed to the bartender User also sees his name in the nearby screen
- 5. Phygital Lunch Client can create and order a burger The kitchen receives the order and processes it User is notified when his order is ready.
- 6. How Does It work?
- 7. How Does It work?
- 8. How Does It work? Azure Cloud Service Event Stream Event Stream Event Stream Mobile Bar Κουζίνα
- 9. Technologies Used iBeacon Technology Mobile apps: Native + NodeJS Runtime (Custom - Made) socket.io (delivering messages and notifications) Backend: NodeJS (sockets, order streaming, queuing)
- 10. Think about TIME
- 12. Think about FUN
Editor's Notes
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