The kit integrates vision, motion, and sound detection hardware and software with wired and wireless connectivity to simplify the design and development of edge AI for the Internet of Things (IoT), including smart home, building, industrial, and monitoring applications. It is based on the company’s low-power Katana system-on-chip (SoC) platform.
According to Valuates Reports, the edge AI hardware industry would be worth $38.9 billion by 2030, with a compound annual growth rate (CAGR) of approximately 19 percent from 2021.
Automotive and consumer electronics are driving this expansion because they require the real-time, low-latency response edge that AI provides. While power consumption and size limits are obstacles to the development of an edge semiconductor, the paper claims that the rising demand for and acceptance of AI goods and services will generate profitable prospects.
The Katana Edge AI EVK was created to speed up the development of smart-home security and assisted living applications, as well as industrial vision solutions, smart-buildings, and smart-cities.
“The market for low-power edge AI solutions is characterised by a broad spectrum of applications that have specific use case requirements,” said Ananda Roy, Sr. Product Manager, Low-Power AI, at Synaptics. “What they have in common is that they all require intelligent and efficient detection and analysis of image, audio, voice, and motion data.”
Various sensor fusion methods may be necessary in some cases to deliver more accurate and actionable data.
“Edge AI and sensor fusion are complex, multifaceted fields of application development and we know from experience that our customers benefit most by having a more complete platform of hardware, software, wireless connectivity, and technical support to get their IoT concepts to market,” Roy added.
