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AI-Powered Microbiological Analysis System Enhancement

neurosys.com

Medical

Healthcare

Biotechnology

Accuracy and Efficiency Issues in Microbiological Analysis

The existing microbiological analysis process, relying on conventional computer vision, was suffering from high false positive rates (mistaking air bubbles for bacterial colonies) and slow processing times. This created a bottleneck in production and increased the risk of human error, impacting overall efficiency and potentially compromising product quality. The initial solution of improving image quality (multispectral cameras) was deemed too costly and uncertain.

About the Client

A leading global pharmaceutical company focused on drug development and manufacturing.

Project Goals

Improve the accuracy of microbiological analysis.
Reduce reliance on manual human specialist involvement.
Accelerate the analysis process.
Minimize the risk of human error.
Develop a robust and scalable AI-powered solution for bacterial colony detection.

Functional Requirements

Automated image analysis of Petri dish images.
Bacterial colony detection (positive/negative classification).
Reporting of analysis results (positive/negative samples).
Integration with existing environmental monitoring software system.
Ability to handle edge cases such as air bubbles and colonies on the rim.

Preferred Technologies

TensorFlow

C++

OpenCV

Required Integrations

Existing environmental monitoring software system

Key Non-Functional Requirements

High accuracy (low false positive/negative rates)
Scalability to handle high volumes of images.
Real-time or near real-time analysis processing.
Robustness and reliability.
Data security and privacy.

Expected Business Impact

This project is expected to significantly reduce operational costs by eliminating the need for manual analysis. It will increase processing speed, improve analysis accuracy, and minimize the risk of human error, leading to improved product quality and faster time-to-market. The solution has potential for broader application within the pharmaceutical industry and industrial microbiology.