ON Semiconductor has licensed CEVA's imaging and vision platform for its automotive advanced driver assistance (ADAS) product lines. ON Semiconductor said it will use CEVA's IP to incorporate embedded intelligence and machine learning into its ADAS roadmap.
"The automotive industry requires cost- and power-efficient vision-based ADAS solutions to address the growing end-customer demand and safety regulations across all tiers of the automotive industry," said Ross Jatou, Vice President and General Manager of the Automotive Solutions Division of ON Semiconductor. "CEVA's industry-leading vision processing IP provides us with a comprehensive solution that enables us to integrate a host of innovative and intelligent system features into our ADAS product offerings."
CEVA shared a market intel provided by Strategy Analytics where it predicts the emergence of new camera applications and imaging concepts will help drive automotive camera demand to reach almost 200 million units in 2023.
"With advanced safety features set to be adopted across all price points of the automotive market, there is a strong demand for more cost-effective, flexible and scalable vision architectures. Efficient vision processing addresses computationally-intensive imaging and machine learning use cases, including better low light processing and the ability to run more powerful deep neural networks that can provide the accuracy and performance of tomorrow's active safety systems." stated by CEVA in its release.
"ON Semiconductor is a recognized leader in high-performance image sensors for the automotive market, and their selection of our vision platform is a strong endorsement of our vision IP for ADAS," said Gideon Wertheizer, CEO of CEVA. "Their deep knowledge of automakers' stringent requirements for performance, safety and reliability positions ON Semiconductor well to further extend their leadership in image sensors with the addition of our vision processing IP."
CEVA's imaging and vision IP supports computer vision and deep learning applications such as video analytics, augmented reality and advanced driver assistance systems (ADAS). CEVA's XM DSPs include a hybrid architecture composed of scalar and vector DSP processors coupled with full Application Development Kit (ADK) to streamline software deployment, easy integration, software algorithms, and the CEVA Deep Neural Network (CDNN2), which the CEVA claims it treamlines machine learning deployment at a fraction of the power consumption of the leading GPU-based systems. Also ISO 26262 compliant safety design package is available for the CEVA vision processors.
For more information, visit http://www.ceva-dsp.com/CEVA-XM-Family.