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COMPONENT STUDY

Image sensors in smart glasses

Understand the small camera in AI glasses, separate a sensor maker from a module maker, and see why some glasses leave the camera out.

A back-illuminated pixel array under a color filter converts light into data; the SoC’s image signal processor handles HDR, stabilization and compression.

Sensor maker or module maker?

The image sensor is the chip: a pixel array under a color filter that turns light into data. A camera module adds the lens stack, IR-cut filter, holder and flex cable, and the two are often made by different companies. Sunny Optical reports smart-glasses imaging modules, and AAC Technologies reports camera solutions in mass production for glasses clients, but neither statement identifies the sensor inside. The processor does much of the image work: Qualcomm’s AR1 Gen 1 lists dual ISPs, 12 MP photo capture and electronic image stabilization.

What connects sensor makers to glasses?

Sony’s image sensor is teardown-identified behind the 12 MP ultra-wide camera in Meta Ray-Ban Display (TechInsights, June 2026); Sony has not confirmed. OmniVision’s OV09734 appears in the hardware documentation of Brilliant Labs Frame, a niche product that has sold out. GalaxyCore says its 5, 8 and 13 MP sensors are in mass production in AI-glasses projects and has launched a 12 MP sensor for AI glasses. SmartSens markets 12 MP sensors built for AI glasses and names no customer. Press spec sheets name a Sony IMX681 in some Chinese glasses; the device makers’ own pages we opened do not, so the part number is not used as evidence.

Do all smart glasses have a camera?

No. Even Realities markets its G2 display glasses as “Camera-free. By design.” Where a camera is fitted, a capture LED signals recording to people nearby: EDN’s analysis of Ray-Ban Meta shows the camera in one corner of the frame and the LED in the other. Camera content per device therefore varies by model, which matters when reading any per-unit estimate.

How to research an image-sensor company

  1. Decide which layer you are researching: the sensor, the lens, the module or the processor’s image pipeline.
  2. Look for a teardown or the device maker’s own specification that names the sensor maker. A press spec sheet is a lead, not evidence.
  3. Record the resolution and the stage: sampling, mass production, or shipping in a named product.
  4. Check whether a module maker’s statement names the sensor; usually it does not.
  5. Treat eye tracking separately: inward-facing sensors and infrared LEDs are a different part.
  6. Use the list as a starting point: it is curated, not exhaustive, and the model is illustrative, not a bill of materials.

Sources

Engineering reference: Corner camera module example. Company-specific evidence is linked from the profiles below.

Explore the complete cameras & eye tracking sector · Read the mapping methodology

Related company research

These companies have relevant documented product roles. Open a profile for the source and limitation.