ZooCC zooplankton automatic identification classification counter Introduction: The species and quantity of zooplankton in water, as well as the distribution of particle size spectrum, are important basis for studying the food chain of aquatic organisms. Historically, it has been time-consuming and labor-intensive. The ZooCC zooplankton automatic sorting counter can effectively solve the user's pain point problem. Performance parameters: 1) Scanning at 9600*6400dpi to obtain a huge image of the sweeping image (marking the highest resolution of 62336*37760 pixels), which can contain thousands of complete zooplankton. Optimized lighting parameters ensure image contrast and image quality. 2) Automatically extract and save the zooplankton in the super-large image, automatically learn and realize the common advantages of 150μm or more. The zooplankton is automatically classified and counted according to the large-scale identification (according to the filter 100μm-1500μm for 1st gear, 1.5mm-8mm for 2) The files are automatically counted from the most to the least, and the parameters such as the size distribution of the size of the zooplankton are given. Built-in preliminary classification files for the four sea areas of the East China Sea, South China Sea, Yellow Sea and Bohai Sea. Users can expand or build new standard libraries (up to 100 types) and automatically learn to generate classification files. Learning the 15 categories of 3000 classified library samples, it takes ≥6 minutes/time to create a new automatic learning classification file. 3) It is suitable for analyzing the amount of water sample 50-750mL/time. The scanned image is ≤15 minutes/water sample, and the automatic analysis for identifying the classification count takes ≤6 minutes/water sample. With mouse-assisted segmentation and dragging the target to determine the classification characteristics to get 100% correct statistical results. 4) Automatically give statistical report of identification classification and counting, and analyze the shape parameters such as area, circumference, volume, length, width, main axis, secondary axis and equivalent diameter of each zooplankton. The number, area, volume and proportion of each type of zooplankton can be analyzed and counted; the rankings are sorted and the histogram shows the proportion. Further analysis of the analytical data can be performed in the Excel software. 5) It can be positioned and marked on the map according to the geographical coordinates of the collection place, and supports various map sources such as Gaode map, Gaode satellite map, Google map, Google satellite map and so on. 6) It is possible to batch import and import other known standard learning library maps and other images. Standard 2 water sample tray: high light transmission ultra-white glass surface, volume 2cm high *160cm^2 (9600*6400dpi or 9600*4800dpi scan, corresponding to 1 file filter), 2cm height *420cm^2 (1200* 1200dpi scan, corresponding to 2 files). Configuration: 1) ZooCC zooplankton automatic classification and counting software 2) High resolution, high performance A4 format image scanner 3) Brand computer (i5 CPU / 16G memory / GTX1060 GPU / 2T hard disk / 23" color display with CUDA support, 1 USB3.0 port + 3 USB2.0 ports, Windows 10 operating system) 4) 2 water samples
Introduction: The species and quantity of zooplankton in water, as well as the distribution of particle size spectrum, are important basis for studying the food chain of aquatic organisms. Historically, it has been time-consuming and labor-intensive. The ZooCC zooplankton automatic sorting counter can effectively solve the user's pain point problem.
