Autonomous Drone Control via Decoded Visual Codes
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Solution Overview
Problem
Existing drone control systems require real-time operator intervention, limiting autonomous operation.
Innovation Solution
Incorporating an image-capturing unit to capture and decode two-dimensional codes containing moving device identification and operation information, allowing the moving device to autonomously perform specified operations based on the decoded information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If real-time remote control is used, then the moving device can be operated with human supervision, but the operator must continuously intervene which reduces autonomy and increases operational complexity
Solution Approach 1:
The patent applies preliminary action by pre-programming operation information into the moving device before deployment. The device captures images containing operation instructions and automatically executes them without real-time remote control, enabling autonomous operation while maintaining ease of use through pre-configured commands.
2Extent of automation
If autonomous operation is implemented, then the moving device can operate without real-time remote control, but the system requires image capturing and decoding capabilities which increases device complexity
Solution Approach 1:
The patent applies universality by using an image-capturing unit that serves multiple functions: it captures images for navigation, identifies operation information encoded in images, and enables autonomous operation. This multi-functional approach reduces overall system complexity compared to having separate dedicated systems for each function.
3Productivity
If operation information is encoded in images, then the moving device can acquire instructions without additional communication hardware, but the image processing requirements increase computational load
Solution Approach 1:
The patent applies copying by encoding operation information into image data that the moving device captures and decodes. Instead of using complex wireless communication protocols, the system uses visual information copying, which leverages the existing image-capturing unit and reduces computational overhead compared to real-time data processing from multiple sensors.
Data Source
AI summary
Moving device identification information, i.e., identification information for identifying moving device 20 and operation information for specifying an operation to be performed by moving device 20 is encoded into a two-dimensional code. Image analyzing unit 25 analyzes a captured image to obtain the moving device identification information and an address of operation information. Operation information requesting unit 26 requests actual operation information from operation information storage device 10 by designating the address of operation information. Operation information storage unit 11 stores the actual operation information. Operation information transmitting unit 22 transmits the actual operation information to moving device 20 in response to the request from operation information requesting unit 26. Operation executing unit 22 acquires the moving device identification information and the actual operation information based on the captured image, and performs the operation specified by the operation information when the moving device identification information indicates its moving device.