Autonomous Delivery Vehicle Beacon Guidance for Precise Drop-Off
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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 effectively utilize advanced technologies like drones for precise delivery.
Innovation Solution
A delivery data server system that communicates with client devices and delivery devices to facilitate precise delivery location selection using captured image data, GPS coordinates, and augmented reality techniques, allowing for accurate placement of packages by drones or traditional delivery personnel.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional delivery systems are used, then delivery operations can be performed with simple methods, but delivery precision and accuracy to specific locations deteriorates
Solution Approach 1:
The patent introduces an image data intermediary system that captures visual data of delivery locations and transmits it between the delivery device and server. This intermediary layer enables precise location identification through image analysis without requiring complex direct communication protocols, thus improving delivery location precision while managing system complexity through modular architecture
Solution Approach 2:
The patent replaces traditional mechanical navigation and manual location identification systems with optical and computational systems. By using cameras to capture images and algorithms to analyze them, the system achieves higher delivery location precision without relying on complex mechanical positioning devices, thereby improving measurement precision while reducing mechanical system complexity
2Productivity
If advanced technologies like drones and augmented reality are implemented, then delivery accuracy and efficiency improve, but system complexity and implementation difficulty increase
Solution Approach 1:
The patent designs the delivery device with multi-functional capabilities, integrating drone flight control, image capture, augmented reality display, and communication functions into a single unified system. This universal approach allows the same hardware platform to perform multiple delivery-related tasks, improving delivery efficiency through technology integration while managing complexity by avoiding separate dedicated systems for each function
Solution Approach 2:
The patent combines multiple advanced technologies—drone navigation, image recognition, augmented reality, and real-time communication—into an integrated delivery system. By merging these technologies rather than implementing them as separate systems, the patent achieves high delivery efficiency through synergistic effects while reducing overall system complexity through unified architecture and shared components
3Measurement precision
If manual delivery methods are used, then system implementation is simple, but delivery precision to specific locations deteriorates
Solution Approach 1:
The patent implements self-service capabilities where the delivery device autonomously captures images of delivery locations, processes the visual data to identify precise delivery points, and navigates to the target location without requiring manual intervention. This self-service approach enables high delivery location accuracy while maintaining operational simplicity, as the system performs complex tasks automatically without requiring skilled operators
Solution Approach 2:
The patent replaces manual visual inspection and physical navigation with automated optical capture and computational analysis. The system uses cameras and image processing algorithms to identify delivery locations with high precision, eliminating the need for manual location verification while maintaining ease of operation through automated decision-making and navigation
Data Source
AI summary
An autonomous vehicle for use with an autonomous delivery service that facilitates a service delivery includes: a beacon receiver configured to receive a wireless homing beacon transmitted from a beacon device as a radio frequency (RF) signal that designates a desired delivery location at a service address selected by a subscriber, wherein the wireless homing beacon is modulated by beacon data that identifies the subscriber and includes a pseudo random code sequence generated by a code generator that is recognized by the autonomous vehicle to authenticate the delivery; and wherein the wireless homing beacon is received by the beacon receiver to facilitate the service delivery to the subscriber by the autonomous vehicle at the desired delivery location at the service address selected by the subscriber; an image capture device configured to generate delivery image data captured after the service delivery; and a transmitter configured to transmit the delivery image data captured after the service delivery.