Detection and classification of pathogens from water

Our project describes the concept and initial findings for the design of a smart system for early detection of bacteria in a water sample. The system is based on the application of microscope image processing for rapid detection of bacterial contaminants in a water sample.

Project Title

Detection and classification of pathogens from water

Project Area of Specialization

Computer Science

Project Summary

Our project describes the concept and initial findings for the design of a smart system for early detection of bacteria in a water sample. The system is based on the application of microscope image processing for rapid detection of bacterial contaminants in a water sample.

Project Objectives

Detection and classification of pathegons from contaminated water with high accuracy.

Project Implementation Method

1. Image Acquisition
2. Image Enhancement
3. Image Restoration
4. Morpological Processing
5. Representation and Description
6. Bacteria Recognition
7. Segmentation

Benefits of the Project

• Detect state of water whether it is contaminated or not.
• Detection and classification of pathegons from contaminated water with high accuracy.

Technical Details of Final Deliverable

Finally deliverable will be a system to which we pass microscopic images as input and system will dectect and classify the pathogens.

Final Deliverable of the Project

Software System

Core Industry

Health

Other Industries

Core Technology

Artificial Intelligence(AI)

Other Technologies

Sustainable Development Goals

Good Health and Well-Being for People, Clean Water and Sanitation, Decent Work and Economic Growth

Required Resources

If you need this project, please contact me on contact@adikhanofficial.com