CEVA reports that Artosyn Microelectronics has licensed and deployed the CEVA-XM4 intelligent vision platform to power the computer vision and deep learning workloads of its upcoming AR9X01 artificial intelligence (AI) SoC. The AR9X01 is Artosyn’s most complex chip ever and uses multiple CEVA-XM4 cores to analyze the real-time flight environment and make use of artificial intelligence for a range of tasks including object detection, classification and tracking. Due to the inherent low power nature of running computer vision algorithms and deep learning inference on the CEVA-XM4 platform compared to CPU- or GPU-based alternatives, the AR9X01 allows drone manufacturers to maximize flight time and improve overall drone performance.
CEVA’s latest generation imaging and vision DSP-based platforms include a hybrid architecture composed of scalar and vector DSP processors and hardware accelerators, coupled with a comprehensive Application Development Kit (ADK) to streamline software deployment. The CEVA ADK includes: CEVA-Link for seamless software level integration with a host processor; a range of widely used and optimized software algorithms; the CEVA Deep Neural Network (CDNN) real-time Neural Network software framework which streamlines machine learning deployment at a fraction of the power consumption of the leading GPU-based systems, and; state-of-the-art development and debugging tools. For more information, visit CEVA imaging and computer vision.