As advanced strategies adopting AI technology in the development of smart home appliances are spreading to improve user experience, products with intelligent vision processing were unveiled at CES 2023.

CEVA, a wireless connectivity and smart sensing technology licensing company, announced on the 5th that LG Electronics (hereinafter referred to as LG) will contribute to improving the user experience by integrating the CEVA XM4 intelligent vision digital signal processor (DSP) into the 'LG8111' edge AI system-on-chip (SoC) in its next-generation smart home appliances.

LG will present its groundbreaking MoodUP refrigerator, which runs on a new edge AI SoC and LG ThinQ AI platform, at 'CES 2023', the world's largest home appliance and IT exhibition, which will be held from the 5th (Korean time).
The CEVA XM4 intelligent vision DSP enables new features and applications in smart home appliances that incorporate computer vision processing. Additionally, LG8111 is said to contribute to a better user experience by developing applications that combine AI processing within LG devices and CEVA's computer vision.

Jang Woon-seok, head of LG Smart Solution TP, said: “LG is always striving to elevate user experience, and the LG8111 edgeAI SoC is the ideal processor for our ThinQ.AI platform that upgrades smart home appliances.” He added, “Additionally, the CEVA XM4 intelligent vision DSP helps our embedded camera SoC technology deliver better computer vision and imaging capabilities.”

Ran Snir, vice president and general manager, Vision Business Unit at CEVA, said: “We are proud that LG has selected the CEVA XM4 DSP for their latest EdgeAI SoC. The smart home presents a huge opportunity for Edge AI and endless innovation potential to enhance the user experience by leveraging embedded vision and AI technologies in cameras. We look forward to seeing how LG and the ThinQ.AI developer network will advance smart appliances with intelligent vision and AI.”

Meanwhile, CEVA’s family of computer vision and deep learning platforms enable designers to bring advanced AI to embedded vision devices within constrained power and cost. The comprehensive, scalable, integrated hardware and software platform provides an innovative and holistic approach to computer vision and deep learning edge devices. This complete platform offering enables developers to efficiently harness the power of neural networks and machine vision for smartphones, autonomous vehicles, surveillance cameras, robots, drones and other camera-enabled smart devices.