EYYES GmbH shared hardware and solutions for the MOIS Front Collision Warning Assistant, a retrofittable system that provides front and moving-off protection for OEMs and operators.
Published
Signal category
Products & Services
Quote
“MOIS and the Front Collision Warning Assistant are 'one device, two solutions' — shared hardware, front and moving-off protection in a single retrofittable system.”
— EYYES GmbH team
Company
EYYES GmbH
We make machines see
- Industry
- Technology, Information and Internet
- Location
- Gedersdorf, AT
- Company size
- 37 employees
We make machines see! EYYES is a global technology leader for safety-critical, AI-enabled Computer Vision Technology with highly efficient, embedded Deep Learning. EYYES software and hardware platform delivers artificial intelligence for detection, recognition and classification of objects in complex environments, with the required approvals and certifications for the automotive, railway, traffic and manufacturing industries. Our customers include Magna, Volvo, MAN, Stadler, Alstom, AMD, ZKW amongst others. The EYYES high-tech vision solutions are executable on the edge and their modular design allows seamless integration to multiple applications: • Automotive – ADAS products (Front collision warning, Blind spot assistant, Moving-off assistant, Rear-view assistant, 360° Safety assistant, Rear collision warning) • Railway – ADAS products (Front collision warning, Blind spot assistant, Rear-view mirrors), Railway station surveillance, Intelligent public transportation camera systems, Coupling monitoring • Traffic – Intelligent intersections and AI traffic lights, AI car parking monitoring, AI-based traffic analysis systems, Pedestrian and bicycle crossing detection, Highway incident detection systems, Redlight enforcement systems • Manufacturing – Quality and surface inspection, Visual manufacturing process control, Weld position detection, Whole pattern detection, Predictive maintenance, Robotics The complete HW / SW tech stack for AI on the edge includes: • CNN – A pre-trained neural network, detection all relevant classes in traffic and mobility and also able to incorporate other neural networks • Software Framework – 180 C++ modules for input and output available to Tier 1s and OEMs to implement use cases themselves • Layer Processing Unit – Core developed by EYYES running on a Xilinx FPGA requiring very low power consumption while reaching high performance and high flexibility
Founded 2013