18463460. DEVICE AND COMPUTER IMPLEMENTED METHOD FOR DETERMINING A CLASS OF AN ELEMENT OF AN IMAGE IN PARTICULAR FOR OPERATING A TECHNICAL SYSTEM simplified abstract (Robert Bosch GmbH)
DEVICE AND COMPUTER IMPLEMENTED METHOD FOR DETERMINING A CLASS OF AN ELEMENT OF AN IMAGE IN PARTICULAR FOR OPERATING A TECHNICAL SYSTEM
Organization Name
Inventor(s)
Maksym Yatsura of Dornstetten (DE)
Jan Hendrik Metzen of Boeblingen (DE)
Matthias Hein of Tübingen (DE)
DEVICE AND COMPUTER IMPLEMENTED METHOD FOR DETERMINING A CLASS OF AN ELEMENT OF AN IMAGE IN PARTICULAR FOR OPERATING A TECHNICAL SYSTEM - A simplified explanation of the abstract
This abstract first appeared for US patent application 18463460 titled 'DEVICE AND COMPUTER IMPLEMENTED METHOD FOR DETERMINING A CLASS OF AN ELEMENT OF AN IMAGE IN PARTICULAR FOR OPERATING A TECHNICAL SYSTEM
Simplified Explanation
The patent application describes a method and device for determining the class of an element in an image for operating a technical system. Here is a simplified explanation of the abstract:
- Providing a set of elements representing the image
- Providing a set of masks
- Determining predictions for the class
- Determining the class of the element based on the predictions
Potential Applications: This technology could be applied in various fields such as image recognition, object detection, and automated systems.
Problems Solved: This technology helps in accurately determining the class of elements in an image, which can improve the efficiency of technical systems.
Benefits: The benefits of this technology include increased accuracy in classifying elements, improved performance of technical systems, and enhanced automation capabilities.
Potential Commercial Applications: This technology could be used in industries such as healthcare for medical imaging analysis, security for surveillance systems, and manufacturing for quality control processes.
Possible Prior Art: One possible prior art could be existing image recognition algorithms that are used in various applications for classifying elements in images.
Unanswered Questions: 1. How does this technology compare to existing image recognition methods in terms of accuracy and efficiency? 2. Are there any limitations or challenges associated with implementing this method in real-world technical systems?
Original Abstract Submitted
A device and computer-implemented method for determining a class of an element of an image in particular for operating a technical system. The method includes providing a first set of elements representing the image, providing a set of masks, determining a set of predictions for the class, and determining the class of the element depending on the set of predictions, wherein determining the set of predictions comprises determining a second set of elements representing the image depending on the first set of elements and a mask of the set of masks, wherein the mask indicates unmasked elements of the image and/or masked elements of the image, and determining a prediction for the set of predictions depending on the second set of elements.