Valeo and Seeing Machines, the advanced computer vision technology company that designs AI-powered operator monitoring systems to improve transport safety, have announced a strategic collaboration aimed at strengthening their position in the driver and occupant monitoring systems (OMS) market.
As part of this agreement, Valeo is transferring its driver monitoring perception software activity to Seeing Machines. This activity, stemming from the associated acquisition of Valeo-owned, German start-up Asaphus, will now be managed by Seeing Machines. This move will support a world leading position in perception software for interior monitoring.
This collaboration also enables Valeo to leverage Seeing Machines’ expertise in interior monitoring perception software, integrating it into the hardware and software architecture of its driver and occupant monitoring systems.
Best-in-class full-system for interior sensing
The strategic move will give Valeo the ability to offer a best-in-class full-system for interior sensing, which is currently experiencing significant momentum, with upcoming regulations making this equipment mandatory. This strategic collaboration positions Valeo and Seeing Machines to effectively meet this growing and regulatory-driven demand.
This strategic collaboration positions Valeo and Seeing Machines to effectively meet this growing and regulatory-driven demand.
For Seeing Machines, this agreement represents an opportunity to strengthen its presence in Europe by leveraging Valeo’s existing infrastructure. Having a Berlin based team will allow Seeing Machines to better address the European market with cutting-edge monitoring solutions, and more easily meet the needs of an expanded customer base in the region.
Further, Asaphus’ capability will enhance the Seeing Machines team with unique IP and data and a small, highly specialised development group who have leading Machine Learning and Artificial Intelligence capability for driving and sensing features. Seeing Machines will leverage these complementary skills to accelerate their feature roadmap and maintain their leadership position in driver and occupant monitoring system technology.
Lead image: Seeing Machines