Learn more about InCabin
Learn more about InCabin

All you need to know about in-cabin Monitoring

FOCUS Is a single sensor enough for present and future in-cabin use-cases
FOCUS: Is a single sensor enough for present and future in-cabin use-cases?
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Selecting the right sensor specifications to attain the expected in-cabin application experience_thumbnail (1)
Selecting the right sensor specifications to attain the expected in-cabin application experience
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Human Facial Understanding & Anti-Spoofing using Neural Networks on Time of Flight Cameras_thumbnail
Human Facial Understanding & Anti-Spoofing using Neural Networks on Time of Flight Cameras
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Interest for in-cabin monitoring and intelligent interior technologies is soaring

We have put a selection of our latest video content on safety, comfort and productivity solutions for current and future in-cabin applications for you to enjoy.
Our InCabin community brings together experts from across all these technical disciplines and the whole supply chain to drive innovation and product development.

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BMW in-cabin monitoring proof-of-concept with Melexis time-of-flight technology

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Characteristics of image sensors for precise object detection in automotive ADAS systems

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Demo: Implementation of efficient Driver Monitoring Systems

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Driver Monitoring and Cabin Monitoring Systems – Sensors and Features

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Enabling ADAS system by Automotive Image edge processor

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FOCUS Session: 5 Critical Trends in In-Cabin Monitoring You Need to Understand

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FOCUS: Defining the 5 key challenges for software-based vehicles

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FOCUS: Is a single sensor enough for present and future in-cabin use-cases?

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FOCUS: The 5 Most Challenging Use Cases for In-Cabin Sensing

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FOCUS: What are the present-day challenges for in-cabin technologies?

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From Driver Monitoring to Driver Engagement

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Human Facial Understanding & Anti-Spoofing using Neural Networks on Time of Flight Cameras

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15 SEPTEMBER 2022 | AUTOWORLD, BRUSSELS

Knowledge and connections for automotive in-cabin technology specialists

A brand new event and community from the creators of AutoSens

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