Intelligent Algae Analyzer
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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:
Product Consultation
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