Social Waitressing Drone With Dynamic User Location Tracking
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Solution Overview
Problem
Current drone systems are inefficient for delivering products or services that consumers need immediately, as they require manual operation and are not easily adaptable to changing user locations, and they lack flexibility in usage and sharing among multiple users.
Innovation Solution
A drone system controlled by a mobile terminal that utilizes social network information for user profiling, automatic payment processing, and dynamic location updates, allowing drones to be shared and programmed based on user profiles and capabilities, enabling efficient delivery of services such as food, drinks, and other tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If drones are used for delivering products/services, then delivery speed is improved, but adaptability to changing user locations deteriorates
Solution Approach 1:
The system dynamically adapts drone delivery routes and destinations based on real-time user location data from social networks. The drone's target location is not fixed but continuously updated according to the user's movement, enabling the system to maintain high delivery speed while adapting to changing locations.
Solution Approach 2:
The system incorporates feedback loops where user location information from social networks continuously informs drone navigation. The drone receives real-time location updates and adjusts its course accordingly, creating a feedback mechanism that maintains delivery speed while adapting to dynamic user positions.
2Adaptability or versatility
If multiple drones are controlled by the same terminal, then service versatility is improved, but device complexity deteriorates
Solution Approach 1:
The terminal device is designed with universal control capabilities that can manage multiple drones through a single integrated interface. The control software provides multi-functionality, allowing users to control different drones without requiring separate installation procedures for each device, thus maintaining service versatility while reducing operational complexity.
Solution Approach 2:
The system merges control functions for multiple drones into a single unified control interface. Instead of requiring separate control software installations for each drone, the terminal consolidates drone management capabilities, allowing users to control multiple drones through one integrated system.
3Ease of operation
If social network integration is implemented, then ease of operation is improved, but loss of information deteriorates
Solution Approach 1:
The system introduces an intermediary layer between social network data and drone control operations. This intermediary mechanism selectively extracts and processes only the necessary location and status information needed for drone operation, while filtering out or protecting sensitive personal data, thus improving ease of operation while minimizing information loss or privacy exposure.
Data Source
AI summary
The invention discloses a waitressing drone that brings drinks to people at the restaurant, and the orders are identified from the Facebook photo of the user, that the drone displays when making the delivery. The invention facilitates the interaction with humans and drones via the social network. With the invention, the order input time is greatly reduced for the consumer, and the consumer may move about while waiting for the order as the drone finds the consumer. Also importantly, the social nature of the drone allows for the sharing of drones among multiple human users. Further, the interfacing of the social human profile with non-human drone profiles allows for the continuous retraining and reprogramming of drones to meet more specific and individualistic user tasks, thereby liberating people from mundane manual labour.