Intelligent Algae Analyzer

The intelligent algae density analysis system utilizes machine vision, deep learning, and automated control technologies, combined with high-performance computing and big data technologies, to simulate human vision and the brain. Through electron microscope imaging, it distinguishes the shape, texture, color, flagella, light transmittance, and cell nodes of algae, enabling rapid and accurate identification of various algae species in water samples and efficient calculation of algae density. This system is applicable to environmental monitoring stations, waterworks, and water quality environmental protection centers where water quality and algae analysis and monitoring are required. It can identify more than 50 species of algae, including Cyanophyta, Chlorophyta, Bacillariophyceae, and Dinophyta.


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Intelligent Algae Analyzer

Product Parameters

 

 

Features

 

Automatic Collection: Automatically identifies the starting point of the slide scanning logic, divides the slide into 100 fields of view on average, and automatically plans the scanning and collection trajectory; simple and convenient operation, saving time and effort, more accurate and less error-prone automated process

Environmental Protection and Safety: The system operates in everyday lighting conditions, without any special spectrum, and has no adverse light reactions on the human body; the system does not add any chemical reagents, so there is no need to worry about any chemical reagents harming the human body; the system is safe and environmentally friendly

Intelligent Analysis: The system uses machine learning and deep neural network technology, which can not only accurately identify according to needs, but also continuously accumulate and learn online. The longer the product is used, the more accurate the identification accuracy, and the stronger the adaptability of target detection

Automatic Recognition: Ends the history of low efficiency and poor effect of manual recognition, realizes the automated online operation of water sample target recognition, greatly improves recognition efficiency, output, and effect, and greatly reduces the cost of various user units

Intelligent Power-off Protection: The system is equipped with a UPS uninterruptible power supply; after the system is powered off, the protection program starts to save data, preventing data loss and system damage due to power failure

Automatic Report Generation: Ends manual counting and statistical analysis; the system generates data reports in real time, and the reports can be printed and copied to a U disk

 

Recognition Principle

 

  The automated motion control system, in conjunction with the microscope imaging system, divides the slide into 100 fields of view on average and automatically collects 100 water sample images. Then, the images are transmitted to a high-performance computing platform, which records, analyzes, and organizes the texture, color, and morphology of the targets in the images, and generates an analysis report; at the same time, the high-performance computing platform uploads the characteristics of the target to the cloud computing platform, which is then calculated by the cloud computing platform's deep neural network technology and fed back to the high-performance computing platform to enhance the target's recognition ability and detection adaptability for the next collection.

 

 

Technical Indicators

 

Equipment Model

JP_IAES_1.0

Dimensions (mm)

700*500*700(L*W*H)

Equipment Weight (KG)

55

Processing Capacity

1 sample/50min

Slide Size (mm)

70*36*2.5(L*W*H)

Counting Frame Size (mm)

20*20*0.25(0.1ml)

Coverslip Size (mm)

24*24*0.17(L*W*H)

Stage Travel (mm)

120*50*10(X*Y*Z)

Power Supply

220VAC 50HZ

Rated Power (KW)

0.85

Applicable Temperature ( )

-10 ~ +50

Applicable Humidity (%)

<80(25 )

 

Category:

智能藻类分析仪

Keyword:

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