Clean Water AI
- 0 Collaborators
Using AI and high definition cameras for bacteria classification and ensure safety in water sources. Sign up for updates at http://www.cleanwaterai.com ...learn more
Project status: Under Development
Internet of Things, Artificial Intelligence
Groups
Movidius™ Neural Compute Group
Intel Technologies
AI DevCloud / Xeon,
Intel Opt ML/DL Framework,
Movidius NCS
Overview / Usage
According to World Health Organization over 2 billion people are affected by contaminated water. Contaminated water contributes to spreading of disease and health issues such as cholera, diarrhoea, dysentery, typhoid, and polio. Contaminated water contributes to over 500,000 diarrhoeal deaths each year.
The total solution is priced around $500 US dollars, using an inexpensive microscope, a laptop capable of running Unbuntu, and the Intel Movidius Neural Compute Stick. Going forward we plan to build the entire solution into a single IoT device and place them around water sources around the world
Check for updates at http://www.cleanwaterai.com
Methodology / Approach
Using the Intel Movidius Neural Compute stick, and an off the shelf microscope we have created Clean Water AI. Our AI is trained to detect water contaminants and able to detect if water is clean and drinkable vs contaminated and a potential health risk. The neural network model was trained using the Caffe Framework powered by Intel's DevCloud service, and we used NodeJS for the front end website.
Technologies Used
Intel DevCloud, Intel Movidius NCS, Intel Nervana AI, Intel Xeon Processor, Up2 board