CES 2022: Realtek unveils chips designed to reduce power consumption in AIoT wireless network cameras

The company also revealed a chip designed to bring smart voice function to smart home platforms

Ben Wodecki, Jr. Editor

January 10, 2022

1 Min Read

The company also revealed a chip designed to bring smart voice function to smart home platforms

Semiconductor manufacturer Realtek unveiled a host of new products at CES, including a set of new chips for Artificial Intelligence of Things (AIoT) wireless network cameras.

The RTL8735B System on a Chip is encased in a 10x10mm2 QFN (quad flat no-lead) package and is designed for ultra-low-power consumption.

The new chip also houses an AI neural network engine which Realtek says can “enable faster device boot-up with higher security levels and to easily run AI video and voice recognition applications.”

“The RTL8735B SoC can help customers design a lightweight and small-size IoT doorbell, portable camera, home appliance, or any AIoT equipment that requires a wireless camera, and battery-powered IoT devices,” the Taiwanese firm said at CES.

Realtek also unveiled the RTL8730E, a chip designed for use in smart home central platforms.

Its smart voice functions can be embedded into home appliances or smart home platforms as a whole, the company suggested.

The chips provide for low latency, low power consumption and can be connected to both wearables and Bluetooth sensors.

Among a host of other new products, RealTek also exhibited what it believes to be the world's smallest 5Gb Ethernet controller solution, a 10G Ethernet PHY (Physical layer transceiver) with an aQFN (advanced quad flat no-lead) package, and a Wi-Fi 6E USB Dongle.

About the Author

Ben Wodecki

Jr. Editor

Ben Wodecki is the Jr. Editor of AI Business, covering a wide range of AI content. Ben joined the team in March 2021 as assistant editor and was promoted to Jr. Editor. He has written for The New Statesman, Intellectual Property Magazine, and The Telegraph India, among others. He holds an MSc in Digital Journalism from Middlesex University.

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