Low-cost Edge-based Deep Learning Inference and Computer Vision in Consumer and Industrial Devices
At EMVA Embedded Vision Europe 2017 conference David Moloney, Director of Machine Vision Technology, NTG, at Intel Corporation, described the trend to ever deeper and more complex networks with greater computational and memory requirements. On a separate track many companies are anxious to get these networks out of the lab and into products which imposes some tension in terms of trading off accuracy against what can reasonably achieved in an embedded platform.
Balancing this tension involves close cooperation between advanced R&D teams developing networks and engineering teams developing Vision Processing Units that can operate at the network edge. David Moloney describes how these tensions can be resolved and how advanced R&D into CNNs is influencing both the field of embedded computer vision and the hardware these vision systems run on.
