Sensor Innovation Became More Specialised, Not Less Important

Summary

Evidence available in January already suggests sensor innovation is not slowing or becoming secondary to AI. Instead, the strongest new evidence points toward specialization: SPAD, multispectral imaging, SWIR and hyperspectral imaging are all visible early in the year. The signal is that AI may increase, not reduce, the value of better sensing.

Supporting Evidence

Image Sensors World showed early activity around SPAD, multispectral 3D imaging and SWIR. Vision Systems Design separately covered hyperspectral imaging in industry. These sources point toward a broader move from generic image capture toward application-specific perception.

Representative Evidence

• 1 Jan 2020 — Image Sensors World, EPFL & Canon Create 1MP SPAD Sensor
  https://image-sensors-world.blogspot.com/2020/01/epfl-canon-create-1mp-spad-sensor.html

• 1 Jan 2020 — Image Sensors World, Multispectral Cameras in 3D Imaging
  https://image-sensors-world.blogspot.com/2020/01/multispectral-cameras-in-3d-imaging.html

• 3 Jan 2020 — Image Sensors World, Porsche to Adopt Trieye SWIR Sensor
  https://image-sensors-world.blogspot.com/2020/01/porsche-to-adopt-trieye-swir-sensor.html

• 5 Jan 2020 — Image Sensors World, IEDM 2019: Sony SWIR Imager
  https://image-sensors-world.blogspot.com/2020/01/iedm-2019-sony-swir-imager.html

• 22 Jan 2020 — Vision Systems Design, Conference on hyperspectral imaging in industry to take place in Austria this May
  https://www.vision-systems.com/factory/article/14075137/conference-on-hyperspectral-imaging-in-industry-to-take-place-in-austria-this-may

Why It Matters

This refines the AI-centric interpretation of the Outlook. Industrial vision is not moving from sensors to software. It is moving toward better combinations of sensing, compute and intelligence.

Technology Themes

Sensor Architecture, SPAD, SWIR, Hyperspectral Imaging, Multispectral Imaging

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