Drone Service Platform with Biometric Authentication and Task Coordination
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Solution Overview
Problem
The economic viability of drone ownership and operation is hindered by legal restrictions and privacy concerns, making it impractical for consumers to own and operate drones for various tasks.
Innovation Solution
A system that allows consumers to summon drones for tasks using gestures or mobile devices, with drones operating within a network environment to receive instructions and coordinate operations, including facial recognition and vocal pattern identification for authentication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If consumers own and operate drones, then they can perform tasks autonomously, but legal restrictions and privacy concerns make it economically unviable
Solution Approach 1:
The patent introduces a service provider as an intermediary between consumers and drones. The service provider owns and operates the drones, while consumers access drone services through a platform. This intermediary model resolves the contradiction by allowing consumers to benefit from drone operations without facing the legal and economic burdens of ownership, making the system both operationally accessible and economically viable.
2Adaptability or versatility
If drones are made accessible to consumers, then task performance capability increases, but security and authorization control becomes more difficult
Solution Approach 1:
The service provider acts as a security intermediary, managing all authorization and authentication processes. Consumers interact with the platform rather than directly with drones, allowing broad service accessibility while centralizing security control. The service provider verifies consumer identities, authorizes appropriate drone access, and monitors operations, simplifying security management despite increased service accessibility.
Solution Approach 2:
The system implements continuous feedback loops for authentication and authorization. Facial recognition and vocal pattern identification provide real-time verification feedback to confirm consumer identity. The platform tracks and records all drone interactions, providing audit feedback for security monitoring. This feedback mechanism enables versatile consumer access while maintaining robust security control through automated verification and monitoring.
3Reliability
If facial recognition and vocal pattern identification are implemented, then authentication security improves, but processing time and system complexity increase
Solution Approach 1:
The system performs preliminary authentication actions by capturing and storing facial recognition templates and vocal pattern signatures during initial consumer registration. This preliminary action creates ready-to-use authentication profiles, so that subsequent authentication processes only require comparing live inputs against pre-stored templates rather than creating profiles in real-time, significantly reducing processing time while maintaining high security.
Data Source
AI summary
A technique is described for implementing drones as a service. As an example, a drone may receive instructions from one or more network elements, coordinate operations with the one or more network elements, and perform at least one task associated with the instructions. The drone may deliver a container to a first location and perform object recognition to validate an object of a subscriber being delivered to a second location. The drone may measure the weight and dimensions of the object to confirm the object is within operating guidelines. After verifying the object is within operating guidelines, the drone may transport the container containing the object to the second location.