UAS Object Recognition for Autonomous Delivery
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Solution Overview
Problem
In modern retail environments, existing delivery methods face challenges such as delays and increased costs due to inefficiencies in product delivery to customers, which can reduce revenue and customer satisfaction.
Innovation Solution
The implementation of unmanned aircraft systems (UAS) equipped with sensors and a control system that utilize sensor data to identify and confirm intended delivery locations, enabling autonomous package delivery and task execution by recognizing objects through various recognition methods, such as image processing and communication with user interface units.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If traditional delivery methods are used, then delivery can be completed, but delivery time increases and costs increase
Solution Approach 1:
The patent replaces traditional ground-based mechanical delivery systems with unmanned aircraft systems that use aerodynamic lift and propulsion. The UAS employs rotors or fixed wings to generate lift, and propulsion systems to move the aircraft and payload through the air, significantly reducing delivery time compared to ground-based mechanical transport.
Solution Approach 2:
The patent introduces an intermediary object (the UAS with specialized delivery mechanisms) between the origin and destination. The UAS carries the payload and uses intermediaries such as release mechanisms, grappling devices, or container systems to transfer the payload to the destination, enabling efficient delivery without direct human intervention in the transport process.
2Productivity
If traditional delivery methods are used, then delivery can be completed, but delivery costs increase
Solution Approach 1:
The patent implements self-service capabilities where the UAS autonomously navigates to the destination, identifies the target location using sensors and image processing, and executes the delivery without continuous human control. The system independently manages flight control, obstacle avoidance, and payload release, reducing operational costs and increasing efficiency.
Solution Approach 2:
The patent designs the UAS as a multi-functional system that can perform various delivery tasks using a single platform. The aircraft can carry different types of payloads, navigate to multiple destinations, and adapt to different delivery scenarios (aerial release, landing delivery, container transfer), reducing the need for multiple specialized delivery systems and lowering overall delivery costs.
3Measurement precision
If UAS uses sensor data to identify and confirm objects, then delivery accuracy improves, but system complexity increases
Solution Approach 1:
The patent divides the object identification system into segmented functional components: sensor modules (cameras, LIDAR, RFID readers), image processing algorithms, data fusion processors, and confirmation logic. Each component performs a specific function in the identification chain, making the complex system more manageable and maintainable while achieving high accuracy through coordinated operation of these segmented elements.
Data Source
AI summary
In some embodiments, systems, apparatuses, methods, and processes are provided to control and allocate UASs. In some embodiments, a system to control unmanned aircraft systems (UAS), comprises: one or more wireless transceivers configured to communicate with the UAS; a control circuit coupled with the transceiver(s); and a memory coupled to the control circuit and storing computer instructions that when executed by the control circuit cause the control circuit to perform the steps of: receive sensor data captured by at least one sensor of a UAS; determine, from the sensor data, unique identification of an object at a predefined location; and confirm, from the sensor data, that the identified object is an expected object expected at the predefined location.