Multi-Camera Inspection Route Selection for Target-Focused Viewing
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Traditional monitoring systems using multiple cameras or 360-degree cameras struggle with fixed viewing angles, difficulty in finding target objects, and lack of immersive experience due to high degree of freedom, making it hard to efficiently locate and view specific targets.
Innovation Solution
An inspection method and system that determines an inspection route based on relative position information between multiple imaging apparatuses, using artificial intelligence to detect specified objects, and controls real-time video signals to be presented in a coherent manner on a display apparatus, allowing for seamless transitions and immersive viewing.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If multiple cameras are used to provide comprehensive coverage, then the monitoring coverage area is improved, but the number of images displayed increases making it difficult to find target objects
Solution Approach 1:
The system segments the multiple camera images by selecting only relevant ones that capture the target object, rather than displaying all images simultaneously. This segmentation approach divides the information overload into manageable, relevant portions, allowing users to focus on target-containing images while maintaining comprehensive monitoring coverage.
Solution Approach 2:
The system extracts and identifies images containing target objects from the set of all camera images, then prioritizes displaying these extracted images. This extraction process separates relevant information (target-containing images) from irrelevant information (other images), solving the problem of finding targets among numerous images.
2Adaptability or versatility
If 360-degree cameras are used to provide high degree of freedom viewing, then the viewing flexibility is improved, but the user must manually turn to find the target increasing time consumption
Solution Approach 1:
The system uses AI-based object detection to automatically detect target objects in images from multiple cameras, providing feedback about where targets are located. This feedback mechanism eliminates the need for manual searching by automatically identifying and highlighting images containing targets, thus reducing time loss while maintaining the flexibility of multiple viewing angles.
Solution Approach 2:
The system replaces the mechanical manual rotation and searching process with an automated AI-based image analysis system. Instead of manually turning cameras or scrolling through images, the AI automatically analyzes images to detect targets and presents relevant images to users, substituting mechanical interaction with intelligent automation.
3Measurement precision
If multiple cameras are used to capture target events, then the detection capability is improved, but the images from multiple cameras cannot be connected in series reducing immersion
Solution Approach 1:
The system transitions from displaying multiple independent 2D images to creating a connected visual narrative by selecting and sequencing images based on target detection results. This dimensional change organizes multiple camera views into a coherent sequence that maintains spatial and temporal relationships, improving immersion while preserving multi-camera detection capabilities.
Data Source
AI summary
An inspection method and an inspection system are provided. The inspection method includes: obtaining relative position information between multiple imaging apparatuses; determining an inspection route that satisfies a target event based on the target event and the relative position information, wherein multiple imaging apparatuses included in the inspection route are configured as multiple inspection apparatuses; and controlling a real-time video signal of each inspection apparatus to be presented to a display apparatus based on the inspection route.