Drone Takeoff Triggering via Ground Event Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current drones face limitations in stabilization during takeoff and flight, are sensitive to vibrations, and lack integration into automatic event management systems, which affects the quality of visual content captured and the ability to respond to unforeseen events without human intervention.
Innovation Solution
A drone take-off system comprising a ground control unit and detectors that trigger drone deployment to specific locations, enabling continuous monitoring and image capture, with vibration sensing and autonomous flight management to maintain image quality and extend presence at event sites.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If multiple motors are used to stabilize the nacelle in three orthogonal directions, then the shooting direction becomes independent of drone orientation and control is facilitated, but the mechanics become more fragile and cost increases
Solution Approach 1:
The patent extracts the stabilization function from the mechanical gimbal system by implementing electronic stabilization through software algorithms that process camera data and compensate for vibrations digitally, eliminating the need for complex mechanical counterweights and motors
Solution Approach 2:
The patent replaces the mechanical stabilization system with an electronic solution using sensors (accelerometers, gyroscopes) and digital signal processing to achieve stabilization without physical moving parts, thereby reducing mechanical complexity
2Productivity
If the drone is integrated into an automatic event management system with multiple drones, then continuous monitoring capability is improved and response time to events is reduced, but the system complexity and coordination requirements increase
Solution Approach 1:
The patent implements a centralized control system that receives real-time data from multiple drones and ground detectors, automatically processes event detection, and dynamically assigns drones to events based on their location and availability, creating a closed-loop feedback system that manages complexity through automation
Solution Approach 2:
The patent creates a universal platform where drones can perform multiple functions (monitoring, event detection, data collection) and the system can handle various event types through a common architecture, reducing overall system complexity through standardization
3Manufacturing precision
If vibration sensing and stabilization mechanisms are implemented, then image quality is improved, but the device complexity and cost increase
Solution Approach 1:
The patent replaces complex mechanical stabilization systems with electronic vibration sensing using accelerometers and gyroscopes combined with digital image stabilization algorithms that process and correct image data computationally
Solution Approach 2:
The patent changes the approach from physical parameter adjustment (mechanical movements) to digital parameter processing (image data correction), achieving stabilization through software-based parameter transformation rather than hardware complexity
Data Source
Figure 1
Figure 2~3
Figure 4
AI summary
The present invention relates to a take-off system for a drone comprising a ground control station and at least one detector associated with a specific ground location. The station comprises a means for communicating with the drone in order to transmit a signal to trigger the take-off, the at least one detector sends the control station a signal detecting an event associated with an unforeseen event occurring at the specific location. The reception by the control station of the signal detecting an event triggers the signal to trigger the take-off in order to follow a course that passes at least over the specific ground location at which the event occurred. In this way, the drone can improve the knowledge of the triggering event by travelling over the location where it was detected.