LILYGO T-Glass – An ESP32-powered smart glasses with 1.1-inch prism display, IMU, microphone, and more

LILYGO T-Glass is an ESP32-S3-powered smart glasses development platform with a smart Bosch IMU, an integrated microphone, a touch button, and a 1.1-inch full-color prism display with 126 x 126 resolution. The features and specifications make this device similar to a Google Glass 2 or Google Glass Enterprise Edition v2 but with a developer-friendly codebase and much room for tinkering.

In our previous post, we also wrote about Pivothead SMART glasses and Qualcomm Snapdragon XR1 AR smart viewer feel free to check those out if you are looking for similar but more powerful products than this one.

LILYGO's T-Glass is an ESP32-S3-powered wearable development platform with a smart Bosch IMU, an integrated microphone, a touch button, and a 1.1-inch full-color prism display with 126 x 126 resolution

LILYGO T-Glass specifications:

  • Wireless SoC – Espressif Systems ESP32-S3FN4R2
    • CPU – Dual-core Tensilica LX7 @ up to 240 MHz with vector instructions for AI acceleration
    • Memory – 512KB RAM, 2MB PSRAM
    • Storage – 4MB flash
    • Wireless – 2.4 GHz WiFi 4 and Bluetooth
  • Display – 1.1-inch full color LTPS AMOLED JD9613 display (294 x 126 pixels)
  • Sensor – BOSH BHI260AP (6-axis IMU, AI capabilities)
  • Audio – Built-in microphone
  • Interface – Touch button
  • USB – 1x USB Type-C for power and programming (5V/500mA)
  • Other Features
    • Real-Time Clock (RTC)
    • 3D-printed prism display holder
    • Open-source software examples
  • Dimensions
    • Glass – 140 mm
    • Display mount – 160 mm x 80 mm
  • Weight – Not specified
  • 3D printed prism display mount

The display used in this T-Glass is a JD9613 full-color LTPS AMOLED display with 294 x 126 pixels of resolution but the display area is only 126 x 126 pixels due to the prism used in the module.

LILYGO T Glass Specifications

The BHI260AP is an always-on type of self-learning AI smart sensor with a 6-axis IMU, a 32-bit MCU which gets complemented by a wide variety of software functionalities making it ideal for applications like fitness tracking, pedestrian positioning, machine learning analytics, orientation estimation, and more. It also supports sophisticated machine learning analytics, making it easy to capture precise motion and interpret data.

On LILYGO’s GitHub repository, you can find many examples for the device including Glass6DoF for motion tracking, GlassBatteryVoltage battery level monitor, and many more examples like a real-time clock, touch buttons, and voice activity detection to help users quickly start developing with the device.

The LILYGO T-Glass is currently available on Amazon for $48. It’s also listed on AliExpress and the LILYGO store, but it’s out of stock in both locations.

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