CEVA and LG bring intelligent vision processing to smart home appliances

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CEVA), a licensor of wireless connectivity and smart sensing technologies, has announced that LG Electronics (LG) has licensed and deployed the company’s XM4 intelligent vision DSP in its Edge AI system-on-chip (SoC) ‘LG8111’.

The decision to use CEVA’s vision DSP is intended to help advance the user experience with a new generation of smart home appliances.

The CEVA-XM4 intelligent vision DSP enables a number of new features and applications in smart home appliances that leverage computer vision processing. According to LG, developing applications that combine CEVA-powered computer vision with its on-device AI processing will allow the LG8111 to deliver a much improved user experience.

Commenting Woonsuk Chang, Smart Solution TP Leader, LG, said, “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, added, “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 have been developed to help designers bring advanced artificial intelligence capabilities to embedded vision devices within the tight power and cost constraints.

The company's hardware and software platforms have taken an holistic approach towards the challenges of computer vision and deep learning in edge devices and its 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.