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Automotive Recognition System Market by Authentication Type (Hand/Leg/Finger Print Recognition, Face Recognition, and Vision/Eye Recognition), Interface (Touch and Touchless), and Application (Multimedia, Lightings, and Others) - Global Opportunity Analysis and Industrial Forecast, 2017-2023

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A gesture recognition system is a perceptual computing user interface, which interprets movement patterns as commands. This system captures commands from the hand and finger gestures or several other parts of the body. This technology operates with the help of camera and sensor device. Camera feeds image data to the sensing device, which then with the help of an infrared sensor, calculates the depth of the movement. The software in the computer identifies the gesture and tries to find a match for that gesture in its predefined gestures library. Command related to that gesture is executed if a match is detected in the library. This technology is used in various places including cars where automotive recognition system can be used to control windows, doors, music system, or the air conditioner.

The factors that drive the automotive recognition system market are growth in technology-focused lifestyle and development of tracking technology. In addition, increase in awareness about driver safety and regulations in automobile industry catalyze the increase in demand for the global automotive recognition market. However, high development costs and unoptimized gesture movement patterns restrain the market growth.
The market is segmented on the basis of authentication type, interface, application, and geography. Based on authentication type, it is classified into hand/leg/finger print recognition, face recognition, and vision/eye recognition. On the basis of interface, it is bifurcated into touch and touchless. Based on application, it is categorized into multimedia, lightings, and others (doors and roofs). Geographically, it is analyzed across North America, Europe, Asia-Pacific, and LAMEA.

The key players in the global automotive gestures recognition include CogniVue Corporation, EyeSight Technologies Ltd., Intel Corporation, Qualcomm Inc., Gestsure Technologies, Microsoft Corporation, SoftKinetic, Elliptic Laboratories AS, Harman International, and Visteon Corporation.

Key Benefits

  • The study provides an in-depth analysis of global automotive gesture recognition system market.
  • The report outlines current and future trends to assess overall market attractiveness.
  • Porters Five Forces model illustrates the potency of the buyers & suppliers participating in the market.
  • Quantitative analysis of the current market and estimations from 20172023 is provided to showcase the financial potential of the market.
  • The report provides information related to key drivers, restraints, and opportunities.

Automotive Gesture Recognition System Market Key Segments:

By Authentication Type

  • Hand/Leg/Finger Print Recognition
  • Face Recognition
  • Vision/Eye Recognition

By Interface

  • Touch
  • Touchless

By Application

  • Multimedia
  • Lightings
  • Others (Doors and Roofs)

By Geography

  • North America
    • U.S.
    • Canada
    • Mexico
  • Europe
    • France
    • Germany
    • UK
    • Rest of Europe
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Rest of Asia-Pacific
  • LAMEA
    • Latin America
    • Middle East
    • Africa

Key Players

  • CogniVue Corporation
  • EyeSight Technologies Ltd.
  • Intel Corporation
  • Qualcomm Inc.
  • Gestsure Technologies
  • Microsoft Corporation
  • SoftKinetic
  • Elliptic Laboratories AS
  • Harman International
  • Visteon Corporation
 
 
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