UAV Subject Tracking for Precise Multi-Vehicle Image Capture
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Solution Overview
Problem
Existing image capturing systems using unmanned aerial vehicles struggle to effectively capture images of pre-registered subjects, particularly in scenarios involving multiple vehicles, due to challenges in determining subject presence, image capturing area management, and optimizing image quality.
Innovation Solution
An image capturing system that includes an unmanned aerial vehicle equipped with an image capturing unit, communication devices on vehicles, and a control device capable of network communication. The control device registers subject information, determines vehicle presence in a capturing area, generates control signals for image capture, and transmits instructions to the UAV for precise image capture, including handling vehicle grouping, distance, and lighting conditions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If an unmanned aerial vehicle captures images of multiple vehicles in a monitored space, then the coverage area increases, but the difficulty of detecting and measuring specific pre-registered subjects increases
Solution Approach 1:
The control device receives pre-registered subject information including vehicle identification information and location information before the image capturing operation. This preliminary registration enables the UAV to efficiently identify and capture images of specific subjects within the monitored space by comparing real-time vehicle data against the pre-registered information, resolving the contradiction between wide coverage and subject identification difficulty
Solution Approach 2:
The control device continuously receives location information from communication devices on vehicles and compares it with pre-registered subject information. This feedback mechanism allows the system to dynamically identify which vehicles match the pre-registered subjects and instruct the UAV to capture images of those specific vehicles, maintaining efficient subject identification across large areas
2Reliability
If the unmanned aerial vehicle captures images of all vehicles in the area, then the completeness of subject capture improves, but the loss of time increases
Solution Approach 1:
By pre-registering subject information including vehicle identification and location data before the capturing operation, the system enables the control device to immediately identify which vehicles require image capture when they enter the monitored area. This eliminates the need to capture images of all vehicles sequentially, ensuring complete capture of target subjects while significantly reducing the time required
Solution Approach 2:
The system dynamically determines which vehicles to capture based on real-time location information and pre-registered subject data. Rather than using a static approach of capturing all vehicles, the system adaptively selects only those vehicles that match the pre-registered subjects, improving both completeness and efficiency
3Manufacturing precision
If the control device manages detailed subject information and coordinates the UAV, then the manufacturing precision of image capture improves, but the device complexity increases
Solution Approach 1:
The control device serves as an intermediary between the pre-registered subject information, the UAV, and the communication devices on vehicles. It receives and processes location information from vehicles, compares it with pre-registered data, and generates appropriate instructions for the UAV. This intermediary role enables precise image capture coordination while managing system complexity through centralized control logic
Data Source
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AI summary
An image capturing system comprises: an unmanned aerial vehicle including an image capturing unit capable of capturing an image of a subject in a flight state; and a control device capable of communicating with a terminal of the subject and the unmanned aerial vehicle. The control device includes: a storage unit configured to register subject information in which the subject is set as a target to be captured; a determination unit configured to determine whether the subject is present in a predetermined image capturing area, on the basis of location information of the subject acquired by communicating with the terminal and map information; a signal generation unit configured to generate a control signal that controls the image capturing unit on the basis of determination of the determination unit; and a communication control unit configured to transmit the subject information and the control signal to the unmanned aerial vehicle. The unmanned aerial vehicle further includes: an identification unit configured to identify the subject on the basis of subject information distributed from the terminal of the subject and the subject information transmitted from the communication control unit; and an image capturing control unit configured to control the image capturing unit on the basis of the control signal to control image capturing of the subject identified by the identification unit.