"Roomba uses onboard computer vision to recognise floor-level obstacles such as socks, cables and dog poop."
IEEE Spectrum's interview with iRobot CEO Colin Angle documents how the Roomba j7 uses a front-facing camera and onboard object-detection algorithms to identify everyday obstacles and pet waste. The system illustrates how machine learning can deliver useful intelligence through a carefully constrained recognition task.
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