Intelligent Sensing: The Impact of AI on Sensor Capabilities

November 14, 2018 | Research Report

Advances in AI 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 thermal sensors will also be impacted by AI. Using patent analysis and the Lux tech signal, this report identifies the sensor types, industries, and key applications where AI is poised to have the biggest impact on sensing capabilities.

Services

  • Chemicals
  • CPG
  • Government & Non-Profit
  • Industrials
  • Oil and Gas
  • Utilities

Table of Contents

  • Title page
  • Table of Contents
  • Introduction
  • Landscape
  • Analysis
  • Health and medical
  • Automotive
  • Industrial
  • Consumer IoT
  • Client recommendations and outlook

Lead Analyst

Analyst

Contributors

Kevin See, Ph.D.
Categories Artificial intelligence
Related companies Massachusetts Institute of Technology (MIT), Google, Apple, AliveCor, BeBop Sensors, Notion, NVIDIA, Ambyint, Qeexo, 3d Signals, Augury, Klarian, PhysIQ, Beyond Verbal, Nauto, Ability Wearables, QuickLogic, Cardiogram, Guardian Optical Technologies, Reality AI, Emza, FluidInsight, SensiML, CacoonCam, Mites

About Lux Research

Lux Research is a leading provider of tech-enabled research and advisory solutions, helping clients drive growth through technology innovation. A pioneer in the research industry, Lux uniquely combines technical expertise and business insights with a proprietary intelligence platform, using advanced analytics and data science to surface true leading indicators. With quality data derived from primary research, fact-based analysis, and opinions that challenge traditional thinking, Lux clients are empowered to make more informed decisions today to ensure future success.

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