With more than 1,200 attendees and over 90 presenters, the 2017 Embedded Vision Summit made one thing clear: I am not the only one who thinks that energy-efficient processors and simple-to-use software toolkits to utilize the available horse-power are critical for embedded vision. Jeff Bier made a compelling argument that cost and power consumption of vision computing will decrease by about 1000x over the next 3 years. He mentioned techniques like reducing data types and using software tools and frameworks to achieve significant improvements in resource usage and efficiency.
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