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Computer algorithms developed by engineering researchers at the University of Waterloo can accurately determine when drivers are texting or engaged in other distracting activities.

The system uses cameras and artificial intelligence (AI) to detect hand movements that deviate from normal driving behaviour and grades or classifies them in terms of possible safety threats.

The University of Waterloo will host innovators from around the world who have revolutionized business through disruptive technology for its fifth annual Waterloo Innovation Summit on September 14 and 15. With this year's conference theme 'Hacking the Future', influential speakers from a wide range of sectors will focus on discussions in foward-thinking and interactive conversations. 

As expectations soar in the exploding field of artificial intelligence (AI), a small but growing group of researchers is buckling down on a fundamental problem: understanding how increasingly complex computer programs actually work.

Steven Waslander looks forward to his drives becoming a lot easier.

“Driving on highways and in cities is dull, time-consuming, and can be very stressful,” says Waslander, director of the Waterloo Autonomous Vehicles Laboratory (WAVELab). “I would be just as happy gazing out the window while the car does the dirty work for me.”