Social Waitressing Drone Using User Profiles for Dynamic Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current drone systems are inefficient for delivering products or services that consumers need immediately, as they require tedious software installations for multiple drones and are controlled by suppliers rather than users, limiting flexibility and user-centric services.
Innovation Solution
A system where users can control and order drone services through their mobile devices using social network information, allowing drones to dynamically locate users and adapt services based on user profiles, enabling flexible use and sharing of drones for various tasks.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If users control drones through mobile devices with social network integration, then service adaptability and user-centric flexibility improve, but system complexity increases
Solution Approach 1:
The patent introduces a server as an intermediary component that mediates between mobile devices and drones. The server handles complex tasks including receiving order information from mobile devices, retrieving social network data, analyzing user profiles, and generating control signals for drones. This intermediary architecture allows the system to provide adaptive, user-centric services while isolating the complexity from the client-side mobile devices and drones.
Solution Approach 2:
The server is designed as a universal platform that performs multiple functions: it manages communications between mobile devices and drones, accesses and processes social network data from multiple sources, analyzes diverse user profiles, and controls various types of drones. This multi-functional design consolidates complexity into a single universal system rather than requiring complex functionality in each individual component.
2Productivity
If drones use social network profile data to dynamically locate and adapt to users, then service efficiency improves, but information processing requirements increase
Solution Approach 1:
The system performs preliminary actions by pre-fetching and storing user profile data from social networks before actual service delivery is needed. The server maintains updated user profiles including location preferences, service history, and personalization data in advance, so that when a user places an order, the drone can immediately retrieve pre-processed information rather than gathering data in real-time, thus improving service efficiency while managing information processing loads.
3Ease of operation
If the system allows sharing of drones among multiple users through a single mobile application, then ease of operation improves, but device complexity increases
Solution Approach 1:
The system implements self-service mechanisms where the server automatically manages drone allocation and user authentication. When a user opens the mobile application, the server automatically retrieves the user's social network profile, identifies their identity, and assigns an appropriate drone without requiring manual configuration or complex user setup. The server handles profile matching, drone selection, and connection establishment autonomously, making the operation simple for users while consolidating complexity on the server side.
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.