WiFi LoRa 32 is a classic IoT dev-board , it has been loved by developers and makers. The newly launched V3 version has the same pin sequence as the V2 version and retains Wi-Fi, BLE, LoRa, OLED display, and other functions. It is the best option for smart cities, farms, homes, industrial control, house security, wireless meter reading, and IoT developers. Microprocessor: ESP32-S3FN8 (Xtensa® 32-bit LX7 dual-core processor, five-stage pipeline rack Structure, frequency up to 240 MHz). SX1262 LoRa node chip. Type-C USB interface with a complete voltage regulator, ESD protection, short circuit protection, shielding, and other protection measures. Onboard SH1.25-2 battery interface, integrated lithium battery management system (charge and discharge management, overcharge protection, battery power detection, USB / battery power automatic switching). Integrated WiFi, LoRa, Bluetooth three network connections, onboard Wi-Fi, Bluetooth dedicated 2.4GHz metal spring antenna, reserved (U.FL) interface for LoRa use. Onboard 0.96-inch 128 x 64 dot matrix OLED display can be used to display debugging information, battery power, and other information. Integrated CP2102 USB to serial port chip, convenient for program downloading, and debugging information printing. Support for the development environment. With good circuit design and low-power design. Note: Installation guide not included, we strongly recommend you professional installation. Please check as much as possible to make sure the item is what you need. Tips: The product may be updated constantly ,Due To Different Batches, The Actual Product May Have Slight Differences Or Color Differences, Which Does Not Affect Use Color: As Shown Material: ABS Package Contents: 2 * LoRa32 V3 868 development board with antenna (accessories as shown in the picture) Only the above package content, other products are not included. Note: Light reflection and different displays may cause the color of the item in the picture a little different from the real thing. The measurement allowed error is +/- 1-3cm.