![]() ![]() Moving from 1080p to 4K doubles the data rate of the incoming video streams from the cameras with the same encoding schemes. ![]() UNDERSTANDING CRYPTOGRAPHY EVEN SOLUTIONS 1080P Furthermore, if the frame rate needs to increase from 15fps to 30fps to 60fps to better identify objects, then the need for data rate and performance would continue to scale accordingly. Higher fps will enable cameras to detect, identify, and recognize smaller objects and fast-moving objects with much better precision. The need for simultaneous 4K encoding from multiple streams further increases the demand for faster CPU performance. 64-bit processors are well suited to meet these demands.įurthermore, to meet such a need for increasing performance and bandwidth requirements for imaging and ML workloads, smart cameras need support for floating point operations. The Armv8-A 64-bit architecture increases the FLOPS¹-per-cycle performance for single-precision by 2x and double-precision by 5x, which improves the user experience. FLOPS are defined as fused-MAC operations that contain a multiply portion and an accumulate portion. One fused-MAC operation equates to 2 FLOPs. It is also critical to highlight the advancements that Arm has been making on imaging and ML through extensions to Neon starting with SVE in the Armv8 architecture and SVE2 in Armv9 architecture.įig. UNDERSTANDING CRYPTOGRAPHY EVEN SOLUTIONS LICENSEġ: Arm 64-bit CPUs for current and future smart cameras.UNDERSTANDING CRYPTOGRAPHY EVEN SOLUTIONS SOFTWARE.UNDERSTANDING CRYPTOGRAPHY EVEN SOLUTIONS 1080P. ![]()
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