STMicroelectronics (NYSE: STM), a global semiconductor leader and industry-leading manufacturer of Micro-Electro-Mechanical Systems (MEMS), supporting a wide range of electronic applications and customers, is accelerating the era of OnLife with the launch of new advanced MEMS sensors that deliver improved accuracy and energy efficiency.

ST announced on the 11th that it recently launched its third-generation MEMS sensor.

This new sensor could deliver a new level of performance and functionality for consumer mobile, smart industrial, healthcare, and retail.

MEMS technology is the foundation for small, robust motion and environmental sensors that power the intuitive contextual awareness of today's smartphones and wearable devices.

ST's latest generation of MEMS sensors delivers a new level of performance that surpasses the limitations of existing technologies in terms of output accuracy and power consumption.

This new sensor can enhance the capabilities of products applied in activity detection, indoor navigation, and precision industrial sensing to the highest level of accuracy. At the same time, it keeps battery consumption low to extend runtime.

Additional features available when selecting product specifications include ST's Machine-Learning Core (MLC) and static electricity detection.

This MLC enables adaptive machine learning capabilities for edge applications operating at ultra-low power.

The QVAR channel monitors changes in electrostatic charge through physical contact with a smartwatch or fitness band, or through non-contact detection (radar).

ST MEMS sensors using QVAR can enhance user interface control to enable smooth device operation, or simply detect moisture and condensation.

Radar mode applications can detect the presence of people, monitor activities, and count people.

“This groundbreaking next-generation solution builds on ST’s extensive and continued investment in MEMS expertise and process technology,” said Simone Ferri, MEMS Marketing Director, STMicroelectronics. “In addition to innovating sensor performance, we are extending its functionality with optional electrostatic detection and machine learning capabilities. This creates a new generation of sensors for the Onlife era, making our everyday lives more transparent and seamless through always-on, always-connected technologies.”