This inventor holds 1 USPTO granted patent. Top assignee: Zhuhai Autovision Technology Co. Ltd.. Active years: 2023.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2023
Title: Innovations of Guangjin Ye in Electronic Component Detection
Introduction
Guangjin Ye is a notable inventor based in Guangdong, China. He has made significant contributions to the field of electronic component detection, particularly through his innovative methods that leverage artificial intelligence. His work is essential in enhancing the accuracy and efficiency of detecting defects in electronic components.
Latest Patents
One of Guangjin Ye's most recent patents is titled "Method for detecting appearance of six sides of chip multi-layer ceramic capacitor based on artificial intelligence." This invention focuses on the technical field of detecting the appearance of electronic components. The method involves using AI to automatically divide images into regions, which are then classified. Extracted features are evaluated using conventional algorithms, allowing for a more flexible approach to identifying various defects. This innovation helps to avoid defect misses and reduces the false detection rate, making it a valuable advancement in the industry.
Career Highlights
Guangjin Ye is currently employed at Zhuhai Autovision Technology Co. Ltd., where he applies his expertise in artificial intelligence and electronic component detection. His work at the company has positioned him as a key player in the development of advanced detection methods.
Collaborations
Guangjin Ye collaborates with talented individuals such as Bo Gong and Chaofan Yu. Their combined efforts contribute to the ongoing advancements in the field of electronic component detection.
Conclusion
Guangjin Ye's innovative approach to detecting defects in electronic components through artificial intelligence represents a significant leap forward in the industry. His contributions are paving the way for more reliable and efficient detection methods.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile