This article explains how MQTT (Message Queuing Telemetry Transport) can be used to create a more streamlined and organized smart home by enabling local communication between devices, reducing reliance on cloud services, and simplifying automation.
A project that displays WiFi signal strength using *Space Invaders*-themed sprites on an ESP8266. It recalls the practice of wardriving and provides a visual representation of nearby networks, including open ones.
This article details the various ESP32 series (Classic, S2, S3, C2, C3, C5, C6, H2, H4, and P4), outlining their key features, differences in CPU architecture, wireless capabilities, memory size, and intended applications. It explains the naming conventions and provides a comprehensive overview to help users choose the right ESP32 for their projects.
| **ESP32 Series** | **Key Features** | **Primary Use Cases** |
|---|---|---|
| **ESP32 (Classic)** | Dual-core, Wi-Fi, Bluetooth, BLE, DAC | Smart home, audio streaming, versatile projects |
| **ESP32-S2** | Single-core, Wi-Fi, USB-OTG, larger ADC | USB gadgets, low-cost IoT, cameras |
| **ESP32-S3** | Dual-core, Wi-Fi, BLE, AI extensions | Performance-focused IoT, AI/ML applications |
| **ESP32-C2** | Single-core RISC-V, Wi-Fi, BLE, low cost | High-volume, low-traffic devices (bulbs, sensors) |
| **ESP32-C3** | Single-core RISC-V, Wi-Fi, BLE, affordable | Battery-powered sensors, basic Arduino replacement |
| **ESP32-C5/C6** | RISC-V, Wi-Fi (C5: Dual-band), BLE, Thread/Zigbee | Advanced connectivity, mesh networks |
| **ESP32-H2/H4** | No Wi-Fi, BLE, Thread/Zigbee, low power | Ultra-low power applications, mesh networks |
| **ESP32-P4** | Ethernet, Dual-core RISC-V, H.264 encoder | Video processing, HMIs, industrial applications |
| **ESP32 Series** | **Key Features** | **Primary Use Cases** |
|---|---|---|
| **ESP32 (Classic)** | Dual-core, Wi-Fi, Bluetooth, BLE, DAC | Smart home, audio streaming, versatile projects |
| **ESP32-S2** | Single-core, Wi-Fi, USB-OTG, larger ADC | USB gadgets, low-cost IoT, cameras |
| **ESP32-S3** | Dual-core, Wi-Fi, BLE, AI extensions | Performance-focused IoT, AI/ML applications |
| **ESP32-C2** | Single-core RISC-V, Wi-Fi, BLE, low cost | High-volume, low-traffic devices (bulbs, sensors) |
| **ESP32-C3** | Single-core RISC-V, Wi-Fi, BLE, affordable | Battery-powered sensors, basic Arduino replacement |
| **ESP32-C5/C6** | RISC-V, Wi-Fi (C5: Dual-band), BLE, Thread/Zigbee | Advanced connectivity, mesh networks |
| **ESP32-H2/H4** | No Wi-Fi, BLE, Thread/Zigbee, low power | Ultra-low power applications, mesh networks |
| **ESP32-P4** | Ethernet, Dual-core RISC-V, H.264 encoder | Video processing, HMIs, industrial applications |
It is a 4-inch touchscreen device designed for Meshtastic®, powered by dual MCUs, the ESP32 and RP2040, and supports Wi-Fi, BLE, and LoRa®. It is an open-source, powerful IoT development platform.
The ESP32-S3 AI Camera is a high-performance intelligent camera module designed for efficient video processing, edge AI, and voice interaction. Features include edge image recognition, night vision, and wireless connectivity.
Wi-Fi was developed by a team of scientists including John O'Sullivan, who worked at the Commonwealth Scientific and Industrial Research Organisation (CSIRO) in Australia. The technology emerged from research into radioastronomy that aimed to detect the echoes of the Big Bang.
