Abstract: A leather defect detection system comprises a worktable, a conveying mechanism, an image capture module, a model training computing device and an embedded computing device, the worktable is used to place a to-be-detected leather; the conveying mechanism is movably disposed on the worktable; the image capture module is disposed on the conveying mechanism, when the conveying mechanism is actuated, relative positions of the image capture module and the to-be-detected leather change synchronously to capture a plurality of to-be-detected images respectively; the model training computing device uses a plurality of historical leather images captured by the image capture module to perform calculation to establish a defect identification model, and the defect identification model is transcoded into the embedded computing device, so that the embedded computing device is capable of directly using the transcoded defect identification model to perform defect identification on the to-be-detected images.

Abstract: 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.

Abstract: An automated optical double-sided inspection apparatus includes a first image-capturing portion, a second image-capturing portion, a platform, a first light-blocking portion, a second light-blocking portion, and a processing portion. The platform carries an external object. When the processing portion operates in a first capturing mode, the second light-blocking portion blocks visible light from passing therethrough, while the first light-blocking portion allows visible light to pass therethrough, so that the first image-capturing portion shoots a first side of the external object through the first light-blocking portion to obtain a first image.