> For the complete documentation index, see [llms.txt](https://docs.consentiumiot.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.consentiumiot.com/edge-boards/consentium-edge-dalton-board.md).

# Consentium Edge Dalton board

The **Edge Dalton IoT Board** is a powerful, ESP32-C3-based development board designed for seamless integration with **Consentium IoT**. It is optimized for **industrial IoT applications**, featuring multiple sensor interfaces, voltage and current monitoring capabilities, and robust connectivity options.

<div><figure><img src="/files/Bduu4Mq91GJwwOUoqXJD" alt="" width="375"><figcaption><p>Front view</p></figcaption></figure> <figure><img src="/files/lDKV1H9SNCEXoJbM3Nlf" alt="" width="375"><figcaption><p>Back view</p></figcaption></figure></div>

## Features

### **Core Processor**

* **ESP32-C3-MINI** with **Wi-Fi and Bluetooth LE** for wireless connectivity
* **RISC-V 32-bit single-core** processor for low-power edge computing
* **FreeRTOS support** for real-time applications

### **Power Options**

* **USB-C Port** for easy connectivity and power
* **DC Barrel Jack** for external power supply
* **Onboard AMS1117 voltage regulator** for stable power management

### **Connectivity & Expansion**

* **I2C, UART, and I2S interfaces** for sensor and peripheral integration
* **Dedicated GPIO headers** for expansion
* **3.3V logic level support** for interfacing with various devices

### **Sensor Integration & Monitoring**

* **Voltage Terminal (J3):** Four input channels for voltage monitoring
* **Current Terminal (J5):** Four input channels for current sensing
* **Dedicated ADCs for precision measurements**

### **Additional Features**

* **Boot and Reset buttons** for easy development and debugging
* **LED indicators** for power and status
* **Compact and robust PCB design** for industrial environments

## Applications

* **Industrial Sensor Monitoring** – Capture and transmit real-time voltage and current data
* **Edge AI & TinyML** – Deploy ML models on the ESP32-C3 for predictive maintenance and anomaly detection
* **IoT Data Logging** – Send sensor data to **Consentium IoT Cloud** for analytics and visualization
* **Wireless Automation** – Utilize Wi-Fi and BLE for remote monitoring and control

## Getting Started

1. **Power Up:** Connect via USB-C or DC barrel jack.
2. **Firmware Setup:** Flash your ConsentiumThings firmware or EdgeNeuron using Arduino IDE.
3. **Sensor Integration:** Connect voltage/current sensors to respective terminals.
4. **Cloud Connectivity:** Send data to Consentium IoT Cloud for real-time analytics.