The CVflow™ architecture is based on a deep understanding of core computer vision algorithms.
Compared with general-purpose CPUs and GPUs, CVflow™ uses a fundamentally different approach that includes a flexible CV hardware engine programmed with a high-level algorithm description. This allows our architecture to scale performance to trillions of operations per second with very low power and without limiting flexibility. Customers can efficiently map their CNN networks trained with industry-standard tools such as Caffe and TensorFlow to run on CVflow™-based chips.
Our technologies incorporate advanced computer vision algorithms into a variety of video applications including smart IP cameras, automotive video solutions (ADAS, smart electronic mirrors, intelligent surround view systems, and self-driving vehicles), and next-generation drones.
Ambarella tapes out multiple chips every year at the most advanced process node available, allowing the delivery of products that are both high performance and extremely low power.
In any digital camera, the raw video data originating from the imaging sensor requires intelligent pre-processing prior to video encoding. Ambarella’s groundbreaking imaging algorithms — combined with ultra-high-speed pixel processing — enhance dynamic range, eliminate noise and deliver outstanding color fidelity under the most challenging lighting conditions.
Ambarella has become an established leader in HD and Ultra-HD video encoding solutions. As our next generation of high-performance chips are released, we are continuing to define new standards of H.264 and H.265 encoding excellence to enable the HD and Ultra-HD cameras of the future.