CEVA and LG bring vision to smart home appliances
CEVA has announced that LG Electronics has licensed and deployed the CEVA-XM4 intelligent vision DSP in its Edge AI system-on-chip (SoC) ‘LG8111’ to advance the user experience of a new generation of smart home appliances. LG is displaying the groundbreaking MoodUP™ refrigerator powered by its new Edge AI SoC and its ThinQ.AI platform at CES 2023.
The CEVA-XM4 intelligent vision DSP enables a host of new features and applications in smart home appliances that leverage computer vision processing. Moreover, developing applications that combine CEVA-powered computer vision with LG’s on-device AI processing allows the LG8111 to deliver a user experience that truly matches their brand and commitment to delivering a better life at home.
Woonsuk Chang, Smart Solution TP Leader, LG commented: “We at LG are always looking to take the user experience to the next level, and our LG8111 Edge AI SoC is the ideal processor for our ThinQ.AI Platform to power our smart home appliances. The CEVA-XM4 intelligent vision DSP provides advanced computer vision and imaging capabilities within the SoC, camera-enabled features in our products.”
Ran Snir, Vice President and General Manager of the Vision Business Unit at CEVA, stated: “The smart home provides huge opportunities for edge AI, with endless possibilities for innovation to improve the user experience leveraging the camera for embedded vision and AI. We look forward to seeing how LG and its ThinQ.AI developer network advance smart home appliances using intelligent vision and AI.”
CEVA’s family of computer vision and deep learning platforms help designers to bring advanced artificial intelligence capabilities to embedded vision devices within the tight power and cost constraints. The comprehensive, scalable, integrated hardware and software platforms takes an innovative and holistic approach towards the challenges of computer vision and deep learning in edge devices. These complete platform offerings allow developers to efficiently harness the performance of neural networks and machine vision for smartphones, autonomous vehicles, surveillance, robots, drones and other camera-enabled smart devices.
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