EmailThe A5310 integrates AI image recognition technology with algal morphology to overcome the limitations of traditional instruments—such as slow speed and high error rates. It features an automated sampling system, forming a comprehensive and intelligent monitoring platform capable of automatically analyzing and outputting multiple indicators including algae species, density, dominant species, and biomass. This enables accurate, efficient, and intelligent algae monitoring across various water environments.
Features
Online Pretreatment Module: Automatically filters, collects, and concentrates water samples.
Multiple Measurement Modes: Supports fixed-point monitoring and remote control.
Microscopy Functions: Offers both manual and automatic focusing.
Algae Data Reporting: Automatically identifies species, calculates density, biomass, dominant species, and generates trend charts and statistical reports.
Traceable Records: Extracts and saves segmented images of individual algae, with automatic classification and historical data archiving.
Expandable Algae Database: Learns specific species and adapts to regional variations for broader genus-level recognition.
Applications
Drinking Water Monitoring
Wastewater Treatment
Surface Water Surveillance
Marine Ecosystems
Aquaculture Management
Specifications
| Monitoring Factors | Identification and counting of multiple algal phyla such as cyanobacteria, green algae, diatoms, cryptophytes, euglenoids, etc. |
| Measurement Method | Microscope and image recognition |
| Objective Magnification | 10*, 20*, 50* (expandable as needed) |
| Focusing Mode | Manual focusing / automatic focusing |
| Camera Specifications | 20-megapixel resolution; frame rate: 5.8 fps @ 5496*3672 |
| Pixel Size | 2.4μm*2.4μm |
| Data Statistics | Species Classification: By phylum or genus Algal Cell Metrics: Cell counting, algal density, biomass, morphological parameter calculations such as cell area and cell volume Dominant Species Analysis: Identification and marking of dominant algal species and dominance index; Visualization of algal quantity proportions |
