STMicroelectronics unveils ultra low power sensors for smart wearables

Tuesday 28 April 2026 - 16:28

By: Dakir Madiha

STMicroelectronics unveils ultra low power sensors for smart wearables

STMicroelectronics introduced two ultra low power global shutter image sensors designed for smart glasses, augmented reality devices, virtual reality headsets, wearables, and medical electronics where energy efficiency is critical.

The new sensors, named VD55G4 and VD65G4, join the company’s BrightSense portfolio and are built to deliver always on computer vision while minimizing battery consumption. The monochrome and RGB sensors capture images at a resolution of 804 by 704 pixels using what the company describes as the world’s first 2.16 micrometer global shutter pixel technology.

According to technical specifications released by STMicroelectronics, the sensors consume between 1 and 2 milliwatts during intelligent standby operation with automatic wake up functions. Power consumption remains below 35 milliwatts when streaming video at 60 frames per second. The company states that at lower frame rates the sensors can consume up to ten times less energy than conventional global shutter alternatives.

A key feature of the architecture is its event driven operating model. Instead of continuously processing video streams, the sensors monitor scenes in an ultra low power state and activate the host processor only when motion or changes are detected. This approach is intended to extend battery life while enabling continuous vision functions for next generation consumer electronics.

The compact design targets devices with strict size and power constraints. Each sensor measures just 2.73 by 2.16 millimeters, small enough for integration into the arms of smart glasses and lightweight wearable products. The sensors are manufactured at the company’s facility in Crolles, France, using stacked 65 nanometer and 40 nanometer semiconductor processes on 300 millimeter wafers.

The sensors support interfaces including MIPI CSI 2, SPI, and I3C, making them compatible with low power microcontrollers and cost efficient system on chip platforms. Integrated functions handle automatic exposure, noise reduction, and defective pixel correction directly within the sensor, reducing processing demands on connected devices.

Additional features such as background subtraction and event based frame output are designed to support embedded artificial intelligence and computer vision workloads. These capabilities position the sensors for applications requiring continuous environmental awareness without excessive power consumption.

Engineering samples of both sensors are now available alongside evaluation camera modules and development kits for early adopters. The company has not yet disclosed pricing details or a broader commercial release schedule.