18276392. VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION simplified abstract (LG Energy Solution, Ltd.)
Contents
- 1 VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION
Organization Name
Inventor(s)
Young Hun Hong of Daejeon (KR)
Jaekyeong Kim of Chungcheongnam-do (KR)
VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18276392 titled 'VISION INSPECTOR SIMULATION DEVICE AND METHOD FOR SECONDARY BATTERY PRODUCTION
Simplified Explanation
The patent application describes systems and methods for executing a vision inspector simulation for secondary battery production using one or more processors. The operations include executing a 3D vision inspector and surface quality information, defect checking unit, and detection adjustment unit to determine the operation of the vision inspector. User action information, user condition information, and model recipe setting information are obtained and used to determine the operation of the vision inspector in inspecting the material's surface.
- Apparatus operating unit comprises a 3D vision inspector and surface quality information.
- Defect checking unit and detection adjustment unit determine the operation of the 3D vision inspector.
- User action information, user condition information, and model recipe setting information are obtained to determine the operation of the vision inspector.
- Inspection operation is executed based on the determined operation of the vision inspector.
Potential Applications
This technology can be applied in industries that require high precision surface inspection, such as electronics manufacturing, automotive production, and quality control processes.
Problems Solved
This technology helps in automating the inspection process, reducing human error, improving efficiency, and ensuring consistent quality control in manufacturing processes.
Benefits
The benefits of this technology include increased accuracy in surface inspection, faster production processes, reduced production costs, and improved overall product quality.
Potential Commercial Applications
Potential commercial applications of this technology include integrating it into production lines for secondary battery manufacturing, implementing it in quality control systems for various industries, and offering it as a service for companies requiring precise surface inspection.
Possible Prior Art
One possible prior art could be the use of 3D vision inspection systems in manufacturing processes for quality control purposes. These systems have been used to detect defects and ensure product quality in various industries.
Unanswered Questions
How does this technology compare to traditional surface inspection methods?
This article does not provide a direct comparison between this technology and traditional surface inspection methods. It would be helpful to understand the specific advantages and disadvantages of this technology in comparison to traditional methods.
What are the potential limitations or challenges in implementing this technology in different manufacturing environments?
The article does not address the potential limitations or challenges that may arise when implementing this technology in various manufacturing environments. It would be beneficial to explore any constraints or difficulties that could affect the adoption of this technology.
Original Abstract Submitted
Systems and methods for executing a vision inspector simulation for secondary battery production by one or more processors to perform operations. The operations include executing an apparatus operating unit comprising a 3D vision inspector and surface quality information of a material inspected by the 3D vision inspector, executing a defect checking unit and a detection adjustment unit for determining an operation of the 3D vision inspector, obtaining at least one of first user action information obtained through the apparatus operating unit, first user condition information obtained through the detection adjustment unit, or first model recipe setting information obtained through the quality checking unit, determining the operation of the 3D vision inspector based on at least one of the first user action information, the first user condition information, or the first model recipe setting information, and executing an operation of inspecting a surface of the material based on the operation.
