CEVA, Inc., the leading licensor of signal processing platforms and artificial intelligence processors for smarter, connected devices, has announced that it was presented with a Gold Honouree award in the Embedded Vision category at the Fourth Annual Vision Systems Design Innovators Awards presentation, held during The Vision Show in Boston, MA. The CEVA-XM6 computer vision and deep learning platform was recognised by a panel of esteemed experts from system integrator and end-user companies.
· Impact on designers, systems integrators, end users
· Fulfilling a need in the market that hasn’t been addressed
· Leveraging a novel technology
Ilan Yona, vice president and general manager of the vision business unit at CEVA, commented: “We are honoured that the vision industry has recognised our CEVA-XM6 with this prestigious award. This is the latest in a long line of accolades we have received for our CEVA-XM family of computer vision and deep learning platforms which aim to eliminate the high entry barriers for integrating cost- and power-efficient AI capabilities in every smart and connected edge device.”
Alan Bergstein, publisher of Vision Systems Design said: “This prestigious program allows Vision Systems Design to celebrate and recognise the most innovative products and services in the vision and image processing industry. Our 2018 Honourees are an outstanding example of companies who are making an impact in the industry.”
The CEVA-XM6 computer vision and deep learning platform helps designers to bring advanced artificial intelligence (AI) capabilities to embedded devices within the tight power and cost constraints under which the developers of these products operate. The comprehensive, scalable, integrated hardware and software platform takes an innovative and holistic approach towards the challenges of computer vision and deep learning in edge devices. As CEVA’s 5th generation imaging and computer vision platform, the CEVA-XM6 platform is the result of years of expertise and experience of working with dozens of customers to fully address the whole gamut of computer vision and neural network use cases in embedded devices. The result is a complete platform offering that allows developers to efficiently harness the performance of neural networks and machine vision for smartphones, autonomous vehicles, surveillance, robots, drones and other camera-enabled smart devices.