Drone Delivery Beaconing for Precise Drop Location Confirmation
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Solution Overview
Problem
Conventional delivery systems lack efficient methods for accurately directing deliveries to specific locations, especially in residential or secure areas, and do not provide real-time confirmation of delivery locations.
Innovation Solution
A system that includes a delivery data server and client devices, allowing users to select and indicate precise delivery locations using captured image data and GPS coordinates, which are then communicated to delivery drones or personnel for accurate delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional delivery systems are used, then delivery operations can be performed, but accurate direction to specific locations especially in residential or secure areas cannot be achieved
Solution Approach 1:
The patent introduces an intermediary system consisting of a delivery data server, client device, and delivery location data that mediates between the delivery operator and the final delivery location. This intermediary layer enables precise location identification through image data and GPS coordinates without requiring complex manual navigation, thus resolving the contradiction between delivery location accuracy and delivery direction complexity.
Solution Approach 2:
The patent replaces traditional mechanical navigation methods with optical and electronic systems including image capture devices, GPS receivers, and digital data processing. This substitution enables precise location identification through automated image analysis and coordinate systems, eliminating the need for complex manual direction-giving while improving delivery location accuracy.
2Reliability
If conventional delivery tracking is used, then basic package status can be monitored, but real-time confirmation of delivery locations cannot be provided
Solution Approach 1:
The patent implements a feedback mechanism where image data captured at the delivery location is transmitted back to the delivery data server for verification. This feedback loop provides real-time confirmation that the package has been delivered to the correct location, enhancing delivery confirmation accuracy while preserving complete location information through digital imaging and data storage.
Solution Approach 2:
The patent performs preliminary actions by capturing and storing image data of the delivery location before the actual delivery occurs. This preliminary documentation ensures that when delivery happens, real-time confirmation can be immediately provided by comparing the pre-captured location data with the actual delivery site, thus preventing loss of location information and ensuring reliable confirmation.
3Productivity
If traditional delivery methods are used, then packages can be delivered, but efficient delivery to hard-to-reach areas cannot be achieved
Solution Approach 1:
The patent creates a universal delivery system that can handle multiple types of delivery locations including residential areas, secure facilities, and hard-to-reach places through a single integrated platform. The system uses standardized image capture and GPS coordination that works across diverse location types, thereby improving delivery efficiency while maintaining adaptability to various accessibility challenges.
Solution Approach 2:
The patent enables self-service delivery verification where the system automatically captures image data, coordinates location information, and confirms delivery accuracy without requiring manual intervention at difficult-to-reach locations. This automation improves productivity by eliminating the need for specialized manual delivery procedures while maintaining versatility across different location types through universal automated processes.
Data Source
AI summary
A system can be used with a drone delivery service that facilitates a service delivery via at least one drone delivery device. The system includes a code generator configured to generate beacon data that identifies a subscriber. A beacon generator is configured to generate a wireless homing beacon that indicates the beacon data, wherein the wireless homing beacon is detectable by the at least one drone delivery device to facilitate the service delivery to the subscriber by the drone delivery device at a location selected by the subscriber and a network interface is configured to communicate via a network. The system receives delivery image data captured after the service delivery by the drone delivery device.