The new implementation of the Digital Iris® Module utilizes the Ensemble MCU from Alif Semiconductor to handle image preprocessing and gaze calculation directly within the glasses frame. By performing these tasks locally at 140 Hz, the system avoids the power-intensive process of streaming raw camera data to a main processor. This architecture not only reduces thermal output and component space but also enhances user privacy, as sensitive eye images never leave the chip.
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Viewpointsystem Shrinks Eye Tracking for Slimmer Smart Glasses
Vienna-based Viewpointsystem has unveiled a compact eye-tracking module that shifts the entire image-processing pipeline onto an ultra-low-power microcontroller. By eliminating the need for a high-end application processor, the hardware enables manufacturers to integrate advanced gaze tracking into lightweight eyewear while extending battery life by up to 15 times.

This shift to edge-based processing allows OEMs to design slimmer, more comfortable devices without sacrificing performance. The programmable MCU also supports additional AI functions and data fusion from ambient light sensors, magnetometers, and accelerometers. According to CEO Nils Berger, the goal is to provide enough design flexibility to bring eye tracking into a broader range of products, from industrial wearables to consumer-grade AR glasses. With the ability to scale tracking rates up to 400 Hz for specialized use cases, the technology addresses the power and thermal constraints that have previously limited the adoption of eye-tracking features in compact, battery-operated hardware.
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