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AI-Driven: Opening a New “Vision” for Water Quality Algae/Parasites (Cryptosporidium and Giardia) Detection and Analysis

News

26/03/2025

AI-Driven: Opening a New “Vision” for Water Quality Algae/Parasites (Cryptosporidium and Giardia) Detection and Analysis

News

09/04/2024

Tailin Medical Engineering Experimental Center Awarded CNAS Accreditation

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22/01/2024

Welcome! UCL Global Business School For Health

News

04/01/2024

Tailin Bioengineering 30th Anniversary

Safeguarding the water environment stands as a paramount concern in preserving human health. Tailin's Intelligent Analyzer for Algae & Parasites is transforming water quality analysis through cutting-edge technology.

Tailin’s Intelligent Analyzer for Algae/Parasites HTY-APM100 is a device specifically designed for intelligent and automated biological monitoring of aquatic ecosystems. It is suitable for rivers, lakes, oceans, reservoirs, wetlands, and drinking water, meeting the needs for intelligent detection, identification, counting, and analysis of parasites (Cryptosporidium and Giardia), algae, and other planktonic organisms. The device can be widely used in disease control centers, hydrology and water management agencies, water companies (urban water supply plants, sewage treatment plants, water quality testing centers), third-party testing institutions, environmental monitoring stations, hydrological monitoring stations, import and export inspection and quarantine systems, livestock bureaus, and research institutions.

 

Compliance with Standards:

  1. Complies with GB/T 5750.12-2023 and CJ/T 141-2018 for the detection, counting, and quality control processes of Cryptosporidium and Giardia in drinking water.
  2. Meets the principles and standard procedures for sample pretreatment, counting, quality control, and biological evaluation as outlined in HJ1216-2021, HJ 1215-2021, and the 4th edition of Water and Wastewater Monitoring and Analysis Methods.
  3. Aligns with the requirements of HJ 1295-2023 and HJ 1296-2023, which provide technical guidelines for aquatic ecosystem monitoring and assessment in rivers, lakes, and reservoirs.

Innovative Concept, New Experience

  • Innovative Concept | Multi-functional & Flexible Switching

The world’s first one-click dual-mode detection concept allows users to switch between Algae Detection and Analysis Mode and Parasites Detection and Analysis Mode based on actual needs.

  • Superior Intelligence | Multidimensional Analysis

Utilizing the Faster R-CNN recognition and analysis software, the system enables rapid identification and analysis of Cryptosporidium oocysts, Giardia cysts, and 140+ species of algae.

  • Efficient Operation | Highly Automated Detection & Analysis

One-click sample loading and one-click mode switching, with fully automated scanning and analysis. Multidimensional, multi-parameter analysis of scanning results. Up to 5 samples analyzed within an hour.

  • Ultimate Precision | AI-Powered Recognition with Authoritative Databases

Backed by a nationally recognized aquatic biological database authorized by Science Press, and powered by self-learning Faster R-CNN software, the system continuously enhances accuracy.

Dual-Mode Intelligent Detection Enhancing Efficiency in Water Quality Analysis

  • Parasites (Cryptosporidium and Giardia) Detection Analysis

Automated slide scanning and analysis with auto-focusing, intelligent stitching, and real-time AI-based assessment. Significantly improved efficiency compared to traditional manual methods.

  • Algae Detection Analysis

Integrated magnification, scanning, digital data processing, species identification, and statistical counting. Generates comprehensive, fully digitalized sample reports, facilitating algae detection and water quality evaluation.

Intelligent Analysis: Faster R-CNN-Based Multidimensional Analytical Capability

  • Comprehensive and Detailed Insights

Provides multi-dimensional information on quantity, cell parameters, density, biomass, dominant species, and proportions. Supports exportable statistical tables, original records, and analysis reports, with editable format options.

  • Rapid Analysis

Scans and analyzes samples within 10 minutes.

  • Advanced Faster R-CNN model Image Processing Workflow
  1. Image Acquisition: Captures images according to international standards.
  2. Image Preprocessing: Uses filtering algorithms to eliminate interference.
  3. Initial Positioning: Applies DBSCAN clustering algorithm to pinpoint targets.
  4. Smart Recognition: Uses CNN-based image classification for final identification.

High-Efficiency Operation: Fully Automated Design

  • Five-channel system

Capable of analyzing 5 samples within an hour, ideal for routine testing and large-scale screening.

  • One-click automation

Automated workflow ensures consistency, repeatability, and high reliability in every analysis.

Precision Detection & Enhanced Security

  • Authoritative Database & AI-Driven Accuracy

Backed by Science Press-authorized aquatic biology database for enhanced identification accuracy.

Comparison: Traditional Methods vs. HTY-APM100 Intelligent Analyzer

 

Tailin’s state-of-the-art Intelligent Analyzer for Algae/Parasite (Cryptosporidium and Giardia) HTY-APM100 revolutionizes water quality monitoring by offering highly automated, AI-powered detection and analysis, significantly improving efficiency, accuracy, and usability across various environmental and research institutions.

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