Intelligent Forcipomyia taiwana monitoring and management system
AssigneeFeng Chia University
InventorsYee Siang Gan, Shih-Kai Fan, Ching-Yun Tseng, Sze-Teng Liong, Yu-Ting Sheng
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AssigneeFeng Chia University
InventorsYee Siang Gan, Shih-Kai Fan, Ching-Yun Tseng, Sze-Teng Liong, Yu-Ting Sheng
Estimating the term…
An intelligent Forcipomyia taiwana monitoring and management system comprises: a catching mechanism grabbing a to-be-identified target; a database storing a datum comprising pictures of a flying insect category; a model training module using the pictures to establish a training model; an image capture module shooting an image including the target; an identifying module selecting a first segmented region including the target by using YOLO detection framework technology, extracting a first identification feature from the target, and inputting the feature into the training model for deep learning to identify a flying insect category to which the target belongs and produce an identification result; a counting module recording a number of the target into the database; and a predictive tracking module obtaining a marked object based on the result marked with the target identified in the image, and using a Monte-Carlo category algorithm to track and predict the object.
An intelligent Forcipomyia taiwana monitoring and management system comprising:
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