Aquatic-Z30 zooplankton intelligent identification counting analysis system Introduction: Aquatic-Z30 can identify and count zooplankton in lakes, rivers, oceans, etc. 1. Rich zooplankton gallery There are already 73,928 effective zooplankton libraries, and each library species and content can be expanded by itself. 2. Custom database Users can add zooplanned images to user-defined databases to create local databases. 3. Free interception of algae images 4. Deep learning technology automatic comparison Using the cutting-edge technology of deep learning (bio-image alpha dog) to solve the fuzzy recognition problem of biological images in complex environments, for the first time, the similarity intelligent search function without any condition is realized, which helps the experimenter to image based on microscopic observation. Quickly search for possible species. 5. Biomass calculation Calculation of plankton biomass using geometric figures Technical indicators: 1, imaging device Scientific color CMOS camera Data interface: USB3.0 Microscope interface Trinocular biological microscope 2, software features 1) Zooplankton image collection Camera connection, white balance, exposure time adjustment, 200 images can be selected in manual or automatic mode 2) Zooplankton database Chinese and Latin bilingual display of zooplankton experts (a total of 10 major categories, 1239 genus, 4851 species), there are more than 73,928 effective zooplankton libraries, each library species and content can be expanded 3) Intelligent identification Automatic comparison identification using current advanced deep learning technology Single image magnification comparison Multi-population map comparison 4) Classification of zooplankton Mark all kinds of microalgae with color circles of different colors and different sizes, click by category, and automatically count up Automatic sorting of dominant species, sorting by door (class), percentage analysis of dominant community composition 5) Accessibility Historical count table memory function Any text and size can be recorded on the image of the zooplankton that has been taken. 6) Data Security and Reporting Multi-user login system, each account forms independent data, and data is stored for a long time. Statistical results are output in PDF format, raw data cannot be changed With audit trail function, the operator automatically records every step of the software on the software, so that the subsequent result data can be traced. Automatically save each batch of photomicrographs, statistical markers and statistics
Introduction: Aquatic-Z30 can identify and count zooplankton in lakes, rivers, oceans, etc. 1. Rich zooplankton gallery There are already 73,928 effective zooplankton libraries, and each library species and content can be expanded by itself. 2. Custom database Users can add zooplanned images to user-defined databases to create local databases. 3. Free interception of algae images 4. Deep learning technology automatic comparison Using the cutting-edge technology of deep learning (bio-image alpha dog) to solve the fuzzy recognition problem of biological images in complex environments, for the first time, the similarity intelligent search function without any condition is realized, which helps the experimenter to image based on microscopic observation. Quickly search for possible species. 5. Biomass calculation Calculation of plankton biomass using geometric figures
