UAV Image Recognition for Real-Time High-Resolution Landslide Detection
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing landslide detection technologies fail to provide real-time, high-resolution image acquisition and accuracy, and satellite imagery fails to provide real-time, high-resolution image acquisition and accuracy in landslide detection, with existing technologies.
Innovation Solution
An unmanned aerial vehicle system equipped with image recognition capabilities, utilizing deep learning techniques and image capturing technology to detect and predict landslide regions, providing flexibility and higher-resolution image acquisition and accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If satellite images are used for landslide detection, then wide coverage is achieved, but image resolution is limited and detection accuracy is reduced
Solution Approach 1:
The patent transitions from ground-based or satellite-based detection to aerial dimension detection using UAVs. This dimensional change allows the system to capture high-resolution images from an aerial perspective, achieving both wide coverage and high image quality simultaneously, resolving the contradiction between coverage area and image resolution
2Reliability
If rangefinder is used to detect landslide, then measurement is not interfered by vegetation, but tremendous amount of time is required for model building and data collection
Solution Approach 1:
The patent replaces the complex mechanical model-building process of rangefinders with an image-based detection system. UAVs capture images that are then processed using image recognition algorithms, eliminating the time-consuming 3D model construction while maintaining measurement reliability through high-resolution imaging and automated analysis
3Speed
If wireless sensors are used for landslide detection, then real-time detection is achieved, but large-scale deployment and extensive construction work are required
Solution Approach 1:
The patent employs a multi-functional UAV system that combines image capture, navigation, and processing capabilities in a single platform. This universal system can perform landslide detection without requiring extensive sensor deployment, reducing device complexity while maintaining real-time detection capability through integrated aerial operations
4Measurement precision
If high-precision satellite images are used, then detailed information is obtained, but image acquisition is delayed by satellite operation schedules
Solution Approach 1:
The patent implements a dynamic detection system using UAVs that can be deployed on-demand according to specific detection needs. Unlike fixed satellite schedules, the UAV system can dynamically adjust its operation timing and location, achieving high-precision imaging without time delays by launching missions only when and where needed
Data Source
AI summary
An image recognition method and an unmanned aerial vehicle system are provided. A training image marked with a specified range is received, and a plurality of features are extracted from the training image through a basic model to obtain a feature map. Next, a frame selection is performed on each point on the feature map to obtain a plurality of initial detection frames, and a plurality of candidate regions are selected in the initial detection frames based on the specified range. Thereafter, the obtained candidate regions are classified to obtain a target block, feature data corresponding to the target block is extracted from the feature map, and a parameter of the basic model is adjusted based on the extracted feature data. In the disclosure, a higher-resolution image is achieved, time flexibility is provided, and accuracy of image recognition is thereby improved.