Work Machine Periphery Detection Without Coordinate Conversion
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Solution Overview
Problem
Conventional surroundings observation devices for working machines face high processing loads and low processing speeds due to complex coordinate conversion processes, which can delay responsive actions when detecting objects.
Innovation Solution
A surroundings observation device for working machines that includes an image capturing device, a specifying part for object position, a first setting part for setting a detection region with a boundary extending in the front orthogonal direction, and a responsive action part for executing actions when the object is within the detection region, without converting coordinates into a virtual plane.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If coordinate conversion from captured image to virtual plane is performed, then object detection accuracy is improved, but processing load increases and processing speed decreases
Solution Approach 1:
The patent extracts and eliminates the complex coordinate conversion process from the object detection system. Instead of converting captured image coordinates to virtual plane coordinates, the system directly processes and analyzes objects within the captured image frame, removing an unnecessary intermediate step that increased processing complexity while maintaining detection accuracy.
Solution Approach 2:
The patent inverts the conventional approach by not converting image coordinates to virtual plane coordinates, but rather keeping all processing within the original captured image coordinate system. This reversal eliminates the computational overhead of coordinate transformation while preserving the ability to accurately detect and respond to objects in the detection region.
2Measurement precision
If coordinate conversion from captured image to virtual plane is performed, then object detection accuracy is improved, but responsive action speed decreases
Solution Approach 1:
The patent removes the time-consuming coordinate conversion step from the processing pipeline. By eliminating the transformation from captured image coordinates to virtual plane coordinates, the system reduces processing time and enables faster responsive actions while maintaining accurate object detection within the detection region.
Solution Approach 2:
The patent skips the intermediate coordinate conversion step entirely, rushing directly from captured image acquisition to object detection and responsive action execution. This skipping of unnecessary processing steps significantly reduces the time delay before responsive actions are initiated.
3Measurement precision
If complex coordinate conversion process is used, then detection accuracy is improved, but processing efficiency decreases
Solution Approach 1:
The patent extracts and removes the complex coordinate conversion process from the detection system, retaining only the essential image capture and direct object detection functions. This extraction eliminates computational redundancy and significantly improves processing efficiency while maintaining detection accuracy through direct analysis of the captured image.
Data Source
AI summary
An image capturing device is provided on a working machine and takes a captured image of surroundings including an object around the working machine. A first setting part sets a detection region in the captured image where the object is detected. A responsive action part executes a predetermined responsive action in a case that the object is in the detection region in the captured image. The first setting part sets a boundary that is a limit of the detection region in the captured image. The boundary extends in a front orthogonal direction and has a certain shape.