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AI-Driven Test System Detects Bacteria In Water

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This advertorial is sponsored by Intel®.

“Clean water and health care and school and food and tin roofs and cement floors, all of these things should constitute a set of basics that people must have as birthrights.”1

 

– Paul Farmer, American Doctor, Anthropologist, Co-Founder,
Partners In Health

Challenge

Obtaining clean water is a critical problem for much of the world’s population. Testing and confirming a clean water source typically requires expensive test equipment and manual analysis of the results. For regions in the world in which access to clean water is a continuing problem, simpler test methods could dramatically help prevent disease and save lives.

Solution

To apply artificial intelligence (AI) techniques to evaluating the purity of water sources, Peter Ma, an Intel® Software Innovator, developed an effective system for identifying bacteria using pattern recognition and machine learning. This offline analysis is accomplished with a digital microscope connected to a laptop computer running the Ubuntu* operating system and the Intel® Movidius™ Neural Compute Stick. After analysis, contamination sites are marked on a map in real time.

Background and History

Peter Ma, a prolific contributor in the Intel® AI Academy program, regularly participates in hackathons and has won awards in a number of them. “I think everything started as a …

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