AI vision SoCs target next-gen security camera applications

June 21, 2021 // By Rich Pell
AI vision SoCs target next-gen security camera applications
Imaging semiconductor design company Ambarella has announced the expansion of its AI vision system-on-chip (SoC) portfolio with two devices aimed at next-gen video security applications.

The CV5S and CV52S security families support simultaneous 4K encoding and advanced AI processing in a single low-power design, which is offered as providing industry-leading edge AI SoC performance per watt. The CV5S family is ideal for security camera applications that require multiple sensors for 360-degree coverage, over a wide area and with a long range, such as outdoor city environments or large buildings, while the CV52S family is designed for single-sensor security cameras with advanced AI performance that need to more clearly identify individuals or objects in a scene, including faces and license plate numbers over long distances, such as ITS traffic cameras.

"The global security industry is rapidly moving to higher 4K resolutions while increasing AI algorithm capabilities, to achieve better recognition of people and objects, along with multiple imagers for a wider field of view and longer range," says Jerome Gigot, senior director of marketing, Ambarella. "Our new CV5S and CV52S security AI vision SoC families respectively support 4K multi-imager or high-frame-rate 4K single-imager designs with high performance edge AI processing, allowing the development of cameras that do not need to compromise between image resolution and AI processing accuracy."

The CV5S SoC family supports multi-imager camera designs and can simultaneously process and encode four imager channels of up to 8MP, or 4K resolution, each at 30 frames per second (fps), while performing advanced AI on each 4K imager. These SoCs double the encoding resolution and memory bandwidth while consuming 30% less power than the company's prior generation.

The CV52S SoC family targets single-sensor security cameras and supports 4K resolution at 60fps, while providing 4x the AI computer vision performance, 2x the CPU performance and 50% more memory bandwidth than its predecessors. This increase in neural network (NN) performance enables more AI processing to be performed at the edge, instead of in the cloud.

In addition to security, says the company, there are many other AIoT applications that


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