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2018 Vision Product of the Year Award Winner Showcase: AImotive (Processors)

AImotive's aiWare is the 2018 Vision Product of the Year Award Winner in the Processors category. aiWare is a highly-optimized hardware architecture designed for generic artificial neural network acceleration. The design is optimized for high-performance in power-constrained environments, such as self-driving, mobile devices or VR headsets. Scalable from embedded solutions to data centers, aiWare is engineered to facilitate the real-world use of artificial intelligence. Incorporating our team's experience with high-resolution input recognition tasks in self-driving, aiWare is designed to handle complex neural networks working on continuous high-resolution data-streams at 30 frames per second. The architecture provides high performance in latency critical environments, with unparalleled power efficiency.

AImotive (formerly AdasWorks) develops artificial intelligence-based software for self-driving cars to make automated driving safe and affordable. Our dedicated team of experts has hands-on experience in artificial intelligence, computer vision and navigation technologies, providing solutions optimized for embedded platforms and GPUs. We work closely with automotive and technology companies to revolutionize the architecture of cars and bring intelligent and reliable self-driving technologies to future vehicles. AImotive's Intelligent Surround View System is capable of processing images in real-time, coming from multiple cameras and other sensors around the car, and using only a single processor chip. This AI-based low-level fusion of information enables the software to reliably detect, understand and predict vehicles' environments. AImotive's SDK supports a wide range of processing hardware, including SoCs, FPGAs and DSPs, giving our customers the freedom of choice to select the most suitable platform. To learn more about AImotive, please visit www.aimotive.com.


Applications for the 2019 Vision Product of the Year Awards are now being accepted, until March 8, 2019. If you're an employee of an Embedded Vision Alliance member company, please see here for an online application form. If you're interested in becoming a member of the Embedded Vision Alliance, please see here for more information!