AI Microscopy Intelligent Inspection System
TECHNICAL SPECIFICATIONS
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Microorganism Recognition |
30+ species supported · Algorithm accuracy >=95% |
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Algae Recognition |
40+ species supported · Algorithm accuracy >=95% |
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Granular Sludge |
Min. detectable particle size 20 um · Accuracy >=98% |
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Optical System |
Infinity-corrected plan achromatic objectives 4x / 10x / 40x · 20 MP imaging |
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Hardware Specs |
13.3" 2K touchscreen · 6-core 64-bit CPU @ 2 GHz · Wi-Fi + Ethernet |
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Time to Report |
5 min |
Industry application
Rapid Biotic Phase Analysis
Fast microorganism identification with real-time alerts for abnormal sludge conditions
System Anomaly Detection
Track microbial trends to pinpoint wastewater system faults with precision
Granular Sludge Diagnostics
Particle size & performance analysis to guide granular sludge process optimization
Process Decision Support
Microbial community data drives parameter optimization
Research & Education
Provides fundamental microbial data for academic analysis and staff training
Watershed Ecological Assessment
Monitors algae and plankton with early warning for cyanobacterial bloom risk
Product Introduction
The system delivers real-time microbial diagnostics within minutes, replacing traditional manual microscopy and significantly improving inspection efficiency and consistency. With built-in AI agents for species recognition, sludge health assessment, and anomaly detection, it provides precise decision support for process optimization, system troubleshooting, and ecological risk warning.
Widely used in wastewater plants and water environment projects, the AI Microscopy System empowers operators with expert-level diagnostic capability, ensuring faster response, higher operational stability, and smarter process control.