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3 Trends in Embedded Vision for 2019

3 Trends in Embedded Vision for 2019Embedded vision systems combine image capture and image processing responsibilities within the design of a larger machine or system. While relatively new, this revolutionary technology has the potential to disrupt a wide range of industries by enabling the development of products with entirely new capabilities.

Embedded vision technology has advanced rapidly. As suppliers and integrators continue to develop new solutions, market penetration deepens. After several years of this, 2019 will be a defining year for embedded vision. There are a few major trends shaping the industry.

Major Trends in Embedded Vision for 2019

While the economic outlook for the industrial sector is highly uncertain, with the Dow Jones Industrial Average continuing downward, slower business investment, and ongoing concerns on trades and tariffs, 2019 will still be an influential year in the embedded vision industry.

Embedded Vision Adoption Will Rise

Embedded vision will likely continue to see higher rates of adoption in 2019. Processing power has increased greatly, while memory has declined in costs, making robust embedded vision technology more accessible than ever before. Embedded vision is becoming smaller, more user-friendly and lower cost, gaining favor with end users.

Deep Learning Will See Broader Deployment

Deep learning capabilities have yet to reach widespread use in industry – the technology hasn’t quite matured yet. In 2019, deep learning may be set to disrupt in a wider scale. Vision systems that leverage deep learning can run thousands of permutations and achieve nearly 100% accuracy in identification, meaning embedded vision systems could quickly become far more advanced.

Shortwave Infrared and Hyperspectral Imaging Will Grow in Demand

Imaging in higher wavelengths, such as shortwave infrared (SWIR) imaging and hyperspectral imaging, allows end users to see what can’t be seen with imaging in visible wavelengths of light.  This is particularly useful in inspection applications, such as for finding structural defects in carbon composites in the aerospace industry. This type of imaging is expected to grow in popularity in 2019, expanding the ways in which embedded vision systems are deployed.

Embedded vision has been a disruptive technology in a wide range of industries throughout the industrial sector. A number of factors are influencing the growth of this technology, but all signs point to a robust 2019 for embedded vision.

To take a deeper dive into these trends in embedded vision, read our feature article, “Four Trends Informing Machine Vision in 2019.”

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