Setting new standards
in driving safety and
Camera-based in-cabin understanding
emotion3D’s in-cabin analysis software makes driving safer and enables next level user experience.
emotion3D offers state of the art computer vision and machine learning software for image-based analysis of in-cabin environments. This analysis enables a comprehensive understanding of humans and objects inside a vehicle. It is the basic building block for intelligent safety and user experience functions.
CUSTOMERS & PARTNERS
emotion3D’s SDK contains several human and object analysis modules for in-cabin monitoring. Additionally, we offer customization services for different hardware and vehicle environments as well as use-case development.
Our algorithms feature highest accuracy and robustness even in challenging real-life situations making them applicable for safety-critical use cases.
emotion3D’s algorithms are highly optimized to function on standard low-power embedded ECUs in real-time contributing to cost-efficiency.
Our algorithms work with various camera types and ECU architectures which minimizes integration efforts into existing camera/ECU setups.
ON THE EDGE
Since everything is processed locally in the vehicle we ensure data privacy. No frame of in-cabin camera data will be stored or leave the car.
BLOG & NEWS
Our CTO, Michael Hoedlmoser, was part of a panel discussion at the European Forum Alpbach about the topic "What's certain is that nothing is certain" among other Austrian top executives. Especially in times of Covid-19 it is crucial to stay agile and resilient as a...
emotion3D and the world-leading Tier 1 supplier ZKW are working on an intelligent lighting system. This system detects certain objects and their distance to the vehicle enabling an optimal illumination of the road. This project is a great example of how emotion3D’s...
In this article of the Austrian business magazine “Trend” you can read a concise introduction of emotion3D and the reasons why in-cabin monitoring is a necessary tool for increasing road safety. (German article) CLICK HERE to read the article. Image Credit: trend /...