StradVision Participates in the 2021 Edition of VivaTech
StradVision, a pioneer in AI-based vision processing technology for Autonomous Vehicles and ADAS systems, today announced that it will introduce its deep learning-based object recognition software SVNet and its latest advancement to potential customers and investors, at the 5th edition of VivaTech, from the 16th to 19th of June.
At the Korean Mobility Startups’ Pitching hosted by Korea Trade-Investment Promotion Agency (KOTRA) and Korea Investment Corporation (KIC) on the 18th of June, and its online booth available from the 16th to 19th of June, StradVision will showcase its camera perception software SVNet and its latest features which are adopted by major OEMs and automotive parts suppliers worldwide.
“We are excited to introduce our product and technology to our potential customers and investors at Europe's biggest startup and tech event. SVNet is one of the most efficient vision processing solutions which is being deployed on over 50 vehicle models in partnership with 9 OEMs and powers 13 million ADAS & Autonomous Vehicles worldwide.”, said Junhwan Kim, CEO of StradVision.
StradVision’s SVNet is a lightweight software that allows vehicles to detect and identify objects accurately, such as other vehicles, lanes, pedestrians, animals, free space, traffic signs, and lights, even in harsh weather conditions or poor lighting.
The software relies on deep learning-based perception algorithms, which compared with its competitors is more compact and requires dramatically less memory and electricity to run. SVNet supports more than 14 hardware platforms and can also be customized and optimized for any other hardware system thanks to StradVision's patented and cutting-edge Deep Neural Network-enabled technology.
StradVision recently partnered with a leading German automotive OEM to supply augmented reality to the Navigation and Lane Keeping Assistance Systems (LKAS) of its vehicle lineup. Additionally, it began working with a global Tier 1 automotive supplier to provide a Surround View Monitoring (SVM) algorithm that supports Park-Assist functions such as Automatic Parking Assistance (APA).