Monday, December 23, 2024

indie to Acquire GEO Semiconductor

indie Semiconductor, an Autotech solutions innovator, announced it has entered a definitive agreement to purchase GEO Semiconductor, Inc., a market leader in video processors for automotive cameras. Acquisition of GEO, a private fabless semiconductor supplier, adds immediate scale to indie’s Image Processing program and enables true sensor fusion of Radar, LiDAR, Ultrasound and Computer Vision solutions in advanced driver-assistance systems (ADAS) applications. The transaction is expected to close in the first quarter of 2023, subject to customary closing conditions.

Underpinned by 100 global patents, GEO’s industry leading, camera-based sensing and viewing capabilities are shipping to some of the world’s largest automotive OEMs including Honda, Hyundai, Kia, Nissan and Toyota. With design wins across more than 20 Tier 1s and 400 car models, GEO has programs with every major image sensor supplier in the world and is engaged in multiple EV and autonomous vehicle programs.

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Image processing systems are playing an increasingly critical role in ADAS applications with more than 20 cameras on board next generation vehicles serving different functions from object and lane detection, to surround view, night vision and driver and occupant monitoring. Collectively, these functions are enabling key use cases such as lane change assist, highway pilot, e-mirror, blind spot detection, occupant safety, automated parking and higher levels of driver automation. In fact, given the increasing attach rate of cameras around the vehicle, IHS is forecasting 265 million camera ECUs will be needed to support the global automotive market in 2023, growing to 430 million units by 2028 and creating an $8.5 billion total addressable semiconductor market.

GEO’s products comprise three generations of application specific camera video processors, including those focused on viewing, where video is projected on a display and viewed by the driver, and sensing, where video is processed using advanced computer vision and machine learning algorithms to assist the driver. The unique ability to support both of these key categories will allow indie to deliver solutions in applications ranging from simple backup cameras to full Autonomous Driving platforms.

SOURCE: Businesswire

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