AI-enabled Sensors

Advances in AI techniques like machine learning provide powerful methods to analyze and derive insights from sensor data, unlocking new sensor capabilities and applications. While this trend is already readily apparent in a domain like computer vision for analyzing image sensor data, other sensor types, such as mechanical, acoustic, and even thermal sensors, will also be impacted by the capabilities of AI tools.

LUX TAKE:

Clients that use sensors in their operations or develop products for use in primarily industrial, automotive, healthcare, agriculture, or consumer applications should look to combine AI-enabled sensors and their proprietary datasets to augment existing products or processes. Clients that sell sensors or sensor components should identify the sensor markets (optical, acoustic, or mechanical) where ...

Lux Take last updated on December 13, 2019
Data last updated on January 21, 2021

What's New

Lux Research analysts and the Lux Intelligence Engine have added the following recent AI-enabled sensors developments.

News Commentaries

Mobileye CEO lays out autonomous vehicle strategy at CES 2021 (January 15, 2021)

Oak Ridge develops computer vision software for real-time layer-by-layer 3D printing quality assessment (September 28, 2020)

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