Lilygo T-Display P4

LILYGO T-Display P4 — 4.1" AMOLED (H753) with 915MHz LoRa

The LILYGO T-Display P4 (AMOLED 4.1 Inch [H753] 915MHz) is a high-performance handheld development board powered by the ESP32-P4 RISC-V processor and an ESP32-C6 wireless co-processor. It features a vibrant 4.1-inch AMOLED capacitive touchscreen, integrated SX1262 LoRa (915MHz), GPS, a rear 2MP camera, 9-axis IMU, audio, and extensive expansion options. Ideal for advanced IoT, Meshtastic-style projects, portable HMIs, edge AI prototypes, and multimedia applications.

KEY FEATURES

• ESP32-P4 Main Processor: RISC-V dual-core up to 360 MHz + low-power core
• ESP32-C6 Co-Processor: Wi-Fi 6 (802.11ax) + Bluetooth 5 LE
• 4.1-inch AMOLED Display: 568 × 1232 resolution with capacitive multi-touch
• SX1262 LoRa: 915MHz for long-range communication
• Rear 2MP MIPI Camera (OV2710)
• L76K GPS Module
• 9-Axis IMU (ICM20948) with motion tracking
• Audio: Onboard speaker, microphone, and 3.5mm jack support
• Vibration Motor
• Battery Management with fuel gauge
• Expandable: Supports external keyboard board and additional I/O

SPECIFICATIONS

Processors:

• Main MCU: ESP32-P4 (RISC-V Dual-core 360 MHz + Single 40 MHz core)
• Flash: 16 MB
• PSRAM: 32 MB
• Co-Processor: ESP32-C6 (Wi-Fi 6 + Bluetooth 5 LE)

Display:

• 4.1-inch AMOLED
• Resolution: 568 × 1232
• Capacitive multi-touch

Wireless:

• LoRa: SX1262 (915 MHz)
• Wi-Fi 6 (2.4 GHz) via ESP32-C6
• Bluetooth 5 LE

Sensors & Camera:

• 2MP MIPI Camera (OV2710) – rear-facing
• GPS: L76K
• 9-Axis MEMS IMU: ICM20948
• RTC

Audio & Haptics:

• I2S Speaker & Microphone
• Linear vibration motor

Power:

• USB charging: 5V / 500 mA
• Charge management IC + battery gauge (BQ27220)

Physical:

• Dimensions: 63 × 109 × 22 mm

Software Support:

• ESP-IDF
• VS Code / PlatformIO
• Arduino (community support)

What's Included:

• 1 × LILYGO T-Display P4 board (4.1" AMOLED [H753] 915MHz version)

NOTES

• This listing is specifically for the 4.1-inch AMOLED [H753] with 915MHz LoRa version
• Excellent platform for portable LoRa/Meshtastic nodes, AI edge devices, camera projects, and high-resolution HMI applications
• Optional external keyboard expansion board available separately
• Official sample code and documentation available on the LILYGO GitHub repository