Jeff Bier, Embedded Vision Alliance
EETimes (April 1, 2019)
The technical landscape for processors and sensors for embedded computer vision applications has changed tremendously over the past five years and will continue to change dramatically over the next five years.
There’s been an incredible acceleration in innovation in these spaces, driven by rapidly growing markets. For example, Tractica forecasts a 25% annual increase in revenue for computer vision hardware, software and services between now and 2025, reaching $26 billion.
Arguably, the most important ingredient driving the widespread deployment of visual perception is better processors. Vision algorithms typically have huge appetites for computing performance. Achieving the required levels of performance with acceptable cost and power consumption is a common challenge, particularly as vision is deployed into cost-sensitive and battery-powered devices.
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