Description
LORA SX1278 0.96° OLED BLE WIFI ESP KIT 32 ESP32L
The LORA SX1278 0.96″ OLED BLE WIFI ESP KIT 32 is a powerful and versatile development board designed for IoT (Internet of Things) applications. It combines several advanced features, including the LoRa SX1278 communication module, BLE (Bluetooth Low Energy), Wi-Fi connectivity, and an ESP32 microcontroller. With a built-in 0.96″ OLED display, this kit provides a complete platform for creating wireless sensor networks, remote monitoring systems, and other IoT projects that require long-range communication, low power consumption, and high-speed data transmission.
This development board is ideal for building projects in smart homes, agricultural automation, remote health monitoring, industrial applications, and more. Whether you’re a beginner or a professional, the LORA SX1278 ESP32 kit simplifies wireless communication setup and enhances your IoT designs with easy-to-use connectivity options.
Features:
- SX1278 LoRa Communication:
- Supports long-range data transmission with a maximum range of up to 15 km (depending on the environment).
- Provides low-power wide-area network (LPWAN) functionality, ideal for IoT systems that require reliable communication over long distances.
- ESP32 Microcontroller:
- Dual-core processor with Wi-Fi (802.11 b/g/n) and Bluetooth Low Energy (BLE) support.
- 240 MHz clock speed and 520 KB RAM, enabling complex and powerful computations.
- Supports a wide range of protocols and offers flexibility for various IoT applications.
- 0.96″ OLED Display:
- High-quality, small OLED screen with a resolution of 128×64 pixels.
- Displays critical information such as sensor readings, status updates, and other data outputs in real-time.
- BLE (Bluetooth Low Energy):
- Low-power Bluetooth support for short-range communication.
- Suitable for pairing with mobile apps or other BLE-enabled devices.
- Wi-Fi Connectivity:
- Connects to local networks for seamless data exchange over the internet.
- Ideal for cloud-based applications and remote monitoring.
- Comprehensive I/O Ports:
- Multiple GPIO pins, PWM outputs, ADC channels, and more, allowing users to interface with sensors, actuators, and other external devices.
- Low Power Consumption:
- Designed to run for extended periods in low-power mode, making it perfect for battery-operated IoT applications.
- User-Friendly Development:
- Compatible with Arduino IDE and other popular development environments, providing easy-to-use tools for rapid prototyping.
- Extensive community support for troubleshooting and project sharing.
Specifications:
Feature | Specification |
---|---|
Microcontroller | ESP32 (Dual-Core, 240 MHz) |
LoRa Module | SX1278 (Supports LoRaWAN, FSK, OOK Modulation) |
OLED Display | 0.96″ OLED, 128×64 Resolution |
Connectivity | Wi-Fi (802.11 b/g/n), Bluetooth Low Energy (BLE) |
Operating Voltage | 3.3V to 5V |
LoRa Frequency Range | 433 MHz, 868 MHz, 915 MHz (depending on region) |
Power Consumption | Low Power Consumption (Ideal for battery-powered applications) |
GPIO Pins | 34 digital I/O pins (varies by design) |
Analog Input Pins | 18 Analog-to-Digital Converter (ADC) pins |
PWM Output | Yes, supports Pulse Width Modulation for motor and actuator control |
Dimensions | Approx. 55mm x 32mm x 8mm |
Interface | I2C, SPI, UART, ADC, DAC, PWM, GPIO |
Operating Temperature | -40°C to +85°C |
Development Platform | Arduino IDE, ESP-IDF, PlatformIO, and other compatible environments |
Firmware Support | Open-source firmware for rapid development and customization |
Applications:
- Long-range IoT Communication: Perfect for projects where Wi-Fi and Bluetooth are not sufficient, enabling wide-area networks for remote monitoring.
- Wireless Sensor Networks: Connect multiple sensors over long distances for environmental monitoring or industrial applications.
- Smart Agriculture: Monitor soil moisture, weather conditions, and crop health remotely.
- Smart Cities & Infrastructure: Enable smart lighting, waste management, and other city infrastructure systems.
- Health Monitoring Systems: Send real-time patient data over long distances for healthcare applications.
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