Delivery Beacon and Image Matching for Precise Drone Drop-Offs
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Solution Overview
Problem
Conventional delivery systems lack efficient methods for accurately directing deliveries to specific locations, particularly in residential or secure areas, and do not provide reliable confirmation of delivery through visual or image-based verification.
Innovation Solution
A delivery data server and client device system that uses image capture and processing to generate delivery location data, allowing users to select precise delivery locations on captured images or maps, and sends this data to delivery drones or personnel for accurate delivery and confirmation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional delivery systems use general delivery location data, then delivery operations are simple, but delivery precision to specific locations is poor
Solution Approach 1:
The patent segments the delivery location identification into multiple components: beacon devices placed at specific delivery locations, image capture devices on delivery vehicles, and processing systems. This segmentation allows precise location identification through image matching while keeping each component relatively simple and modular.
Solution Approach 2:
The patent introduces beacon devices as intermediary elements placed at delivery locations. These beacons emit signals and serve as reference points for image capture and matching, enabling precise location identification without requiring complex GPS or address-based systems.
2Reliability
If delivery confirmation relies on traditional methods, then the process is simple, but delivery verification reliability is insufficient
Solution Approach 1:
The patent implements a feedback mechanism where the delivery vehicle's image capture device takes photos of delivery locations, these images are processed and matched with beacon data, and the confirmed delivery information is sent back to the system. This closed-loop feedback ensures reliable delivery verification.
Solution Approach 2:
The patent replaces traditional manual delivery confirmation methods with an automated image-based recognition system. The system uses image capture, processing, and matching algorithms to automatically verify deliveries, eliminating the need for manual signing or verification while improving reliability.
3Measurement precision
If delivery systems use detailed image capture and processing, then delivery location precision is improved, but data processing time increases
Solution Approach 1:
The patent performs preliminary actions by pre-placing beacon devices at delivery locations and pre-processing their characteristics. When a delivery vehicle arrives, the system only needs to capture images and match them against the pre-stored beacon data, significantly reducing real-time processing requirements while maintaining high precision.
Data Source
AI summary
A beacon device includes a beacon code generator that generates beacon data that uniquely indicates a subscriber. A beacon generator generates a wireless homing beacon that indicates the beacon data. The wireless homing beacon is detectable by the at least one drone delivery device to facilitate a service delivery by the drone delivery device at the location of the beacon device.