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Hyperspectral synthetic data with near-infrared (NIR) simulation to build more accurate in-cabin monitoring systems

Event: InCabin Brussels
| Session date: Thursday 22nd June
Session date: Thursday 22nd June
, 2023

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"Javier Salado smiling in front of a world map backdrop"
"Javier Salado smiling in front of a world map backdrop"
Javier Salado
Technical Product Manager,

Anyverse

"Javier Salado smiling in front of a world map backdrop"
"Javier Salado smiling in front of a world map backdrop"
Javier Salado
Technical Product Manager,

Anyverse

Near-infrared (NIR) cameras are a key element of a new generation in-cabin monitoring system and they are called to become an essential piece for DMS and OMS development. However, collecting data (including NIR) for the different in-cabin use cases is challenging and in some cases impossible due to privacy issues and concerns.We all agree that synthetic data can complement real data, or be a viable alternative to real data to train perception systems. However, classical approaches to simulate NIR data rely on visual tricks. Is a faithful physically correct NIR simulation possible? We think it is and we will show how hyperspectral rendering enables the simulation and generation of accurate NIR data for in-cabin use cases.

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