5results about How to "Realize automatic counting" patented technology

The present application relates to a kind of sample processing platform for carbon fiber number counting and the counting method of carbon fiber number, belong to carbon fiber detection technical field, solve the problem of low accuracy of counting caused by complex carbon fiber sample preparation and poor sample quality in existing method.Sample processing platform includes fixed platform and detachable auxiliary platform, fixed platform is internally provided with support area, sticking area and reference area from top to bottom, three are coaxial ladder-shaped hole structure, and auxiliary platform is sleeve-shaped.Counting method includes: using the sample processing platform to prepare fiber cross-section sample without adhesion and debris;Sample is placed into scanning electron microscope, and the overall picture is obtained by low-resolution scanning and high-resolution puzzle;Overall picture is segmented into slice;Slice is imported into image analysis software, and after gray threshold conversion, denoising, area and roundness screening, it is automatically counted and summed.The present application is simple in sample preparation, clear in image, accurate in counting, and significantly improves the efficiency and accuracy of carbon fiber number statistics.

This invention relates to an automatic pallet stacking device, comprising symmetrically arranged support plates, conveying components for conveying pallets symmetrically arranged on opposite sides of the two support plates, a separating component for controlling the spacing between the pallets between the two conveying components, a collecting component for collecting pallets on one side of each conveying component, and a counting component for counting pallets between the conveying component and the collecting component. This invention solves the problems of existing pallet stacking methods where pallets are dropped one by one onto the ground during production, requiring manual sorting and counting, which incurs significant time and labor costs, resulting in low production efficiency. Furthermore, the pallets often overlap during conveying, causing conveying chaos and further impacting production efficiency.

The utility model discloses a kind of nonwoven fabric weld detection equipment, it is related to automatic detection technical field, including conveying system, detection system, rejecting mechanism, stacking mechanism and man-machine interactive system, characterized by, the conveying system includes air suction belt, conveying belt support and base, air suction belt is set on conveying belt support and is fixed by base, adjustable conveying belt is further equipped on conveying belt support, the detection system includes shadowless lamp box and visual detection device, shadowless lamp box is installed above conveying system, visual detection device is located below shadowless lamp box and is connected with control system by output pivot, the rejecting mechanism includes flap and defective product box. A kind of nonwoven fabric weld detection equipment provided by the utility model, by the combination of shadowless lamp box and visual detection device, high-precision detection to nonwoven fabric weld is realized, and the reliability of detection is significantly improved.

The utility model discloses a kind of aluminum bar stacking machines, for realizing the mechanization of aluminum bar's stacking function, including poking device, alignment device.Poking device is composed of bearing support, guide plate and intermediate prong mechanism: support upper end crossbeam is equipped with guide plate, and front end has vertical front baffle;In prong mechanism, synchronous shaft is hinged with support, and first cylinder drives synchronous shaft rotation by first connecting rod, plate prong is sleeved in synchronous shaft, and it is concave arc between its limiting portion and push portion, limiting portion rises and stops aluminum bar when cylinder piston rod extends, and push portion pushes aluminum bar forward when retracts.The alignment device of two groups of alignment mechanism is symmetrically arranged on the both sides of the support between prong and front baffle, and two groups of alignment mechanism are used to align the end face of aluminum bar.The utility model achieves the technical effect of poking and alignment by the above arrangement, replaces traditional manual and crane collaborative operation, improves work efficiency while preventing aluminum bar from colliding.

This invention provides a deep learning-based method, apparatus, and storage medium for counting shrimp larvae. The method includes: S1, acquiring shrimp larvae images; S2, integrating, cropping, and / or overlaying shrimp larvae images at different magnifications and inputting them into a deep learning model, performing target recognition of shrimp larvae in the images through multi-feature fusion, and outputting the identified initial shrimp larvae targets; S3, identifying the contextual relationship features between shrimp larvae targets based on the original target features of the initial shrimp larvae targets, and fusing the original target features of the initial shrimp larvae targets and the identified contextual relationship features between shrimp larvae targets to obtain shrimp larvae fusion features; S4, inputting the shrimp larvae fusion features into an SVM classification and position regression model for processing to obtain the final shrimp larvae targets for counting. Using the above technical solution, relatively accurate automatic counting of a large number of small, easily clustered, and overlapping individual shrimp larvae can be achieved.