Challenges
Creating AR glasses that are both stylish and powerful has long been a technical challenge. Engineers previously had to integrate multiple components (image sensors, image signal processors (ISPs), memory, and application processors) while managing energy consumption and device weight. Achieving all-day wearability with robust AI features was nearly impossible due to the high power demands and the need for real-time data processing without latency or excessive heat generation.
Approach
“
The STM32N6 microcontroller has been a breakthrough for our products. Its neural processing unit and image signal processor enabled us to deliver advanced features in ultralight AR glasses. With ST’s edge AI solution, we have redefined the next generation of information display and AR interactions.
”
Dr. Zhou Xing, Founding Partner of Meta-Bounds
Meta-Bounds’ AR glasses demonstrate how edge AI can transform wearable technology, enabling lightweight, all-day devices packed with advanced features like real-time translation and object recognition. By leveraging integrated edge AI hardware, Meta-Bounds has set a new standard for immersive, energy-efficient AR experiences, paving the way for a future where smart wearables seamlessly enhance daily life.
Author: Meta-Bounds, ST | Last update: June, 2025
Optimized with STM32Cube.AI
A free STM32Cube expansion package, X-CUBE-AI allows developers to convert pretrained AI algorithms automatically, such as neural network and machine learning models, into optimized C code for STM32.
Most suitable for STM32N6 Series
The STM32 family of 32-bit microcontrollers based on the Arm Cortex®-M processor is designed to offer new degrees of freedom to MCU users. It offers products combining very high performance, real-time capabilities, digital signal processing, low-power / low-voltage operation, and connectivity, while maintaining full integration and ease of development.