The architecture in one paragraph
Nearly all AI glasses work the same way at the system level. Sensors on the frame, microphones and often a camera, capture what you say and see. A small processor in the temple handles wake words, audio and housekeeping. The heavy intelligence, speech recognition, translation and the language model, runs mostly in the cloud, reached through your paired smartphone or a direct connection. Results come back as audio through tiny speakers near your ears, or as an image projected into the lens. The glasses are a sensor-and-display terminal; the brain is largely elsewhere.
The display: getting an image into your eye
The hardest engineering problem in the category is making a display invisible until it is needed. Three approaches dominate.
Waveguide displays
A microscopic projector in the temple fires an image into the edge of a thin, transparent plate in the lens. The light bounces internally through the plate, then structures etched into it steer the image out toward your pupil. The result is text or graphics that appear to float in the world, through a lens that looks ordinary from the outside. The Even Realities G2 uses this approach for its green text display, and so does the display in the Rokid AI Glasses Enterprise. Waveguides trade brightness and color richness for their near-invisible form, which is why so many use sharp monochrome text.
Birdbath optics
A micro-OLED panel shines downward onto a curved semi-transparent mirror inside the lens that reflects the image to your eye. Birdbath optics deliver bright, full-color, high-resolution pictures, which is why virtual display glasses like the XREAL One Pro use them, but the optics need physical depth, which is why display glasses are visibly chunkier than assistant-style AI glasses.
No display at all
A large slice of the category skips the display entirely and speaks to you instead. Audio-only AI glasses are lighter, cheaper and last longer per charge, and for a pure assistant experience a voice in your ear covers most needs.
The camera: eyes for the AI
Where present, the camera serves two masters. For you, it captures photos and video from your point of view. For the AI, it delivers frames to analyze: identify an object, read a label, describe a scene, translate a sign.
Two practical realities are worth knowing. First, visual AI features usually photograph a moment rather than stream continuously; continuous video analysis drains the battery too fast for everyday use. Second, an LED typically signals recording, and workplaces or venues may restrict camera use, one reason camera-free models such as the Even Realities G2 exist and sell well in professional environments.
Microphones and speakers: the primary interface
Voice, not the display, is the main interface of AI glasses. Frames carry multiple microphones arranged for beamforming: comparing the signal across mics lets the glasses separate your voice, or the voice of the person you're facing, from surrounding noise. This is what makes live translation work in a busy room.
Output comes from small open-ear speakers in the temples that aim sound at your ear canal. At normal volumes they are quiet to bystanders, and they leave your ears open to the world, an underrated safety and comfort feature compared to earbuds.
Where the AI actually runs
The assistant behind the glasses is a large language model, and large is literal: state-of-the-art models cannot run inside eyewear. The workload splits three ways.
On the glasses: wake-word detection, capture, audio processing, and increasingly small on-device models for fast tasks.
On your phone: the companion app manages connectivity, settings and often relays data between glasses and cloud.
In the cloud: speech recognition, translation and the language model itself, the features that feel intelligent.
This split explains real-world behavior. With a strong connection, answers arrive in about a second; in a dead zone, the smartest features degrade or stop. It also explains why AI glasses improve after purchase: when the cloud model gets better, so do the glasses you already own.
For businesses, the split raises a legitimate question: where do the audio and imagery go? Consumer products send them to the vendor's cloud. Enterprise platforms answer differently, and this is a genuine differentiator: the Rokid AI Glasses Enterprise supports connecting your own AI models, including self-hosted ones, so a company can keep sensitive data on its own infrastructure.
Battery and power management
Batteries hide in the temple arms, and their capacity is small because the weight sits on your nose. Vendors bridge the gap between small batteries and power-hungry features through aggressive engineering: displays that render only a small text area, cameras that sleep until called, radios that lean on the phone. In practice, a day of moderate assistant use is achievable across the current generation; hours of continuous translation or recording are not. Heavy professional users should plan around charging cases and spare-battery accessories the same way they plan around phone chargers.
Connectivity: the invisible component
Most AI glasses pair with a smartphone over Bluetooth, with the phone providing internet. Display glasses like the XREAL line use a USB-C cable instead, which carries both video and power, with no battery in the glasses at all. Rugged industrial devices often run standalone Android with their own Wi-Fi, because a technician cannot depend on a personal phone. When you evaluate any pair, establish early on what it must be connected to, because that dependency shapes daily use more than any spec.
Putting it together: what happens when you ask for a translation
A concrete walk-through ties the pieces together. You tap the temple and face a colleague speaking German. The microphone array isolates their voice and streams compressed audio via your phone to the cloud, where speech recognition converts it to text and a translation model converts the text to English. The English sentence returns to the glasses, and the waveguide paints it as a subtitle floating below your line of sight, roughly a second behind the speaker. Every component in this article touched that sentence, and the only one you noticed was the text.
