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Nextchip is licensed by CEVA Image and Vision Platform and is used in Advanced Driver Assistance Systems (ADAS)
CEVA, a leading provider of signal processing IP for smart and connected devices (NASDAQ: CEVA), has announced that Nextchip, a specialist in embedded vision for ADAS systems, has licensed the CEVA-XM4 image and vision platform for its APACHE4 visual preprocessor. This collaboration aims to enhance real-time ADAS capabilities by combining CEVA’s powerful DSP technology with Nextchip’s advanced image processing solutions.
The APACHE4 is a next-generation visual preprocessor designed to support a wide range of ADAS applications, including image enhancement, feature extraction, and object classification. By integrating the CEVA-XM4 core, it offers high flexibility and performance, enabling developers to create differentiated machine vision products for automotive markets.
Nextchip CEO Kyoungsoo Kim highlighted that the partnership with CEVA allows them to deliver more scalable and affordable ADAS systems for mass-market vehicles. "CEVA’s industry-leading vision platform brings a high level of programmability and adaptability to our solutions," he said. "This enables us to develop innovative ADAS features while maintaining cost efficiency."
CEVA’s CEVA-XM4 platform is known for its hybrid architecture, combining scalar and vector processors with a comprehensive development kit. It supports complex machine learning and computer vision tasks while optimizing power consumption, making it ideal for applications such as smartphones, drones, autonomous vehicles, and surveillance systems.
Both companies will be present at the AutoSens conference in Brussels from September 19 to 21, 2017, where they will showcase their latest technologies and discuss future trends in automotive vision systems. The event is part of the larger AutoWorld exhibition, offering an opportunity for industry professionals to connect and explore new innovations.
In addition to its hardware capabilities, CEVA provides a suite of software tools, including CEVA-Link for seamless integration, optimized algorithms, and the CDNN2 framework for efficient deep learning development. These tools help reduce development time and improve system performance across multiple platforms.
For more information about CEVA’s offerings or to connect with representatives from both companies, visit their respective websites or reach out through official contact channels. Stay updated with CEVA on WeChat by searching “CEVA-IP†or watch their videos on Youku at http://i.youku.com/i/UNTc1MDExNjA0.