Patents by Inventor Zaili CHEN

Zaili CHEN has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Pest monitoring method based on machine vision
    Patent number: 10729117
    Abstract: The present invention relates to a pest monitoring method based on machine vision. The method includes the following steps: arranging a pest trap at a place where pests gather, and setting an image acquisition device in front of the pest trap to acquire an image; identifying a pest in the acquired image, and obtaining a number of pests; extracting multiple suspicious pest images from a region of each identified pest in the image, and determining identification accuracy of each suspicious pest image, if the number of pests is greater than or equal to a preset threshold for the number of pests; and calculating a predicted level of pest damage based on the number of pests and the identification accuracy of each suspicious pest image. The present invention acquires a pest image automatically through the image acquisition device in front of the pest trap.
    Type: Grant
    Filed: December 25, 2017
    Date of Patent: August 4, 2020
    Assignee: ZHONGKAI UNIVERSITY OF AGRICULTURE AND ENGINEER
    Inventors: Yu Tang, Shaoming Luo, Zhenyu Zhong, Huan Lei, Chaojun Hou, Jiajun Zhuang, Weifeng Huang, Zaili Chen, Jintian Lin, Lixue Zhu
  • PEST MONITORING METHOD BASED ON MACHINE VISION
    Publication number: 20200178511
    Abstract: The present invention relates to a pest monitoring method based on machine vision. The method includes the following steps: arranging a pest trap at a place where pests gather, and setting an image acquisition device in front of the pest trap to acquire an image; identifying a pest in the acquired image, and obtaining a number of pests; extracting multiple suspicious pest images from a region of each identified pest in the image, and determining identification accuracy of each suspicious pest image, if the number of pests is greater than or equal to a preset threshold for the number of pests; and calculating a predicted level of pest damage based on the number of pests and the identification accuracy of each suspicious pest image. The present invention acquires a pest image automatically through the image acquisition device in front of the pest trap.
    Type: Application
    Filed: December 25, 2017
    Publication date: June 11, 2020
    Inventors: Yu TANG, Shaoming LUO, Zhenyu ZHONG, Huan LEI, Chaojun HOU, Jiajun ZHUANG, Weifeng HUANG, Zaili CHEN, Jintian LIN, Lixue ZHU