The LILYGO T-Journal is a compact ESP32 camera development board featuring a 2MP OV2640 camera, integrated 0.91-inch SSD1306 OLED display, and onboard USB charging. Designed for vision-based IoT, remote monitoring, and smart control applications, it supports both normal and fish-eye lens configurations, offering flexibility for wide-angle imaging or standard viewing needs.
Available Versions
1. Normal Lens Version
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Standard field of view
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Suitable for close-up detection and controlled environments
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Clear image for object tracking and fixed-point capture
2. Fish-eye Lens Version
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Wide-angle viewing, ideal for surveillance or broad-scene monitoring
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Covers larger areas with fewer blind spots
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Useful in AI vision, robotics, and edge computing
Key Features
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ESP32-PCIO-D4 chipset, 240MHz Xtensa® LX6 dual-core microcontroller
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2 Megapixel OV2640 camera
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0.91-inch SSD1306 OLED for real-time data or status display
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QSPI flash support, up to 4 × 16MB
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520KB SRAM, reset key (IO32), analog servo control support
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40MHz crystal oscillator, red power indicator LED
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Micro-USB interface for power and programming
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Compatible with Arduino, ESP-IDF, PlatformIO
Power & Battery
Parameter | Specification |
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Voltage Range | 2.3V – 3.6V |
Working Current | ~160mA |
Charging | USB 5V/1A, 1A charging current |
Battery | 3.7V lithium battery (external) |
Connector | JST 2-pin 1.25mm |
Temp Range | -40℃ to +85℃ |
Dimensions
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Board size: 64.57 × 23.98 mm
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Mounting holes: Ø3.00 mm
Pin Features
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Camera interface (IOs for D0–D7, VSYNC, HREF, PCLK, XCLK)
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OLED I2C (SDA/SCL)
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Power, Reset, GND, GPIOs for servo, ADC, PWM use
Package Includes
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1 × T-Journal ESP32 Camera Module (choose Normal or Fish-eye Lens)
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1 × Wi-Fi Antenna
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1 × USB Power Cable
Suggested Applications
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IoT surveillance systems
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Wireless video streaming nodes
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AI vision & object detection
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Smart home camera modules
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Embedded ML edge processing