[VIDEO] Recycling sorter trains itself to be more accurate
[img_inline align=”right” src=”http://padnws01.mcmaster.ca/images/bottles.jpg” caption=”The Artificially Intelligent Recycling Sorter sorts items according to type: glass bottles, plastic containers or cans. File photo. “]
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Tech gadgets of the future were on display in CIBC Hall yesterday, where students graduating from electrical and computer engineering showed off their innovative inventions.
Prototypes included a 3D imaging system, a shirt that monitors your heartbeat, a detector that wakes sleepy drivers, automated smart blinds and a fall detection and prevention system.
More than 200 students presented their final-year projects and posters, gaining valuable feedback from faculty, peers and staff in their own and other disciplines.
Below, Muayad Tarabain explains his Artificially Intelligent Recycling Sorter (AIRS). Working with Mohamed Bakr, associate professor of electrical and computer engineering, Tarabain and the rest of his group members (Hossam Disouky, Aishwarya Hariharan, Sarah Kerns and Ophelia Ray) developed AIRS to sort items for recycling. The system works with an artificial neural network, which trains itself to learn from previous experiences – meaning AIRS actually becomes more accurate at sorting items as time goes on.
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