Murata Provides Core Timing Solutions for Wearable and AI Sensor Devices with Ultra-small Crystal Units

Ultra-precision computation, ultra-low power, real-time responsiveness.
In AIoT device design, these three elements are no longer ideals but requirements.
For next-generation IoT devices with built-in AI functions, such as wearable devices, smart medical devices, and autonomous sensor platforms, stable ‘timing’ and precise clock synchronization technology are becoming as important as the AI algorithm itself.

In response to this technological demand, Murata is providing timing device solutions that enable lightweight and high-precision AIoT devices simultaneously through its lineup of ultra-small crystal units.

Why is ‘clock accuracy’ important for wearable AI devices?
Wearable devices with built-in AI functions analyze various data such as the user's bio-signals, movements, location, and voice in real time. The numerous data streams generated at this time are connected through various protocols such as Bluetooth® LE, Zigbee®, and UWB, and the accurate clock synchronization between the sensor data collection timing and wireless communication timing directly affects the AI prediction accuracy.

Murata's crystal units are designed for precisely this timing precision. It precisely synchronizes computation, sensing, and communication within AIoT devices by integrating high-precision frequency characteristics and high durability into an ultra-small package of just a few millimeters.

Crystal Unit, the Core Infrastructure of Timing for AIoT
Murata's wearable crystal unit has the following features:

- Ultra-small and lightweight design: Maximizes space utilization of the device (e.g. smartwatch, band, glasses-type AI device)
- High-precision frequency characteristics: Minimizes AI operation timing errors with stability of less than ±10ppm
- Ultra-low power consumption: Maximize the operating time of battery-based AIoT devices
- High reliability: Minimizes defect rates with Murata's unique particle control technology

In particular, the real-time processing performance required in AI-based devices requires perfect timing synchronization between the internal MCU, AI core, sensor interface, and wireless communication module, which cannot be implemented without a high-precision crystal unit.

Crystal, Creating 'Invisible Differences in AI Quality'
While many developers focus solely on algorithm optimization, timing elements are often overlooked. But if the high-frequency sensor data is off by even 0.1 seconds, the AI's judgment can be distorted beyond the numerical value.
For example, in a voice-recognition AI wearable, clock fluctuations can quickly lead to delays, clipping, and perceived noise.
An accurate clock is an invisible, core component that goes beyond simple timing and determines the overall UX and prediction accuracy of AIoT devices.

The evolution of AIoT technology requires the evolution of clock accuracy and synchronization technology.
To this end, Murata is providing the technological foundation for high-performance AI wearables and sensor-based devices through ultra-small, highly reliable crystal units, and is providing practical help in improving developers' design efficiency and completeness, especially by expanding opportunities for preliminary verification in the pre-design stage.

Recently, some component manufacturers have started to provide designers with opportunities to experience crystal units, allowing them to directly verify and apply the actual performance of their products. Given the importance of timing devices, this opportunity for direct early verification will make the choice of developers more clear.