ESP32 Schematics
The ESP32 is a low-cost, low-power microcontroller with built-in Wi-Fi and Bluetooth capabilities. It is a highly integrated chip designed for the Internet of Things (IoT) and can be used for a variety of applications, including home automation, wearable technology, and industrial control. One of the key features of the ESP32 is its versatility and wide range of available peripherals, including sensors, displays, and communication modules. This makes it ideal for use in a variety of projects and applications, such as home security systems, smart home devices, and industrial automation systems. Flux.ai has the world's largest community-driven public library of ESP32 devices, with a range of footprints, symbols, datasheets, and simulation models available for users. This extensive library allows developers and designers to easily incorporate the ESP32 into their projects and take advantage of its powerful capabilities. Whether you are building a simple IoT device or a complex industrial control system, the ESP32 is an excellent choice due to its versatility and wide range of available resources.
ESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale - TEST1 Decoupling Cap [no route example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32-WROOM-32E (16MB)
The ESP32-WROOM-32E (16MB) is a highly integrated Wi-Fi + Bluetooth + Bluetooth Low Energy (BLE) module developed by Espressif. It is based on the ESP32-D0WD-V3 chip and features a dual-core processor, rich peripherals, and large flash memory—making it ideal for IoT, embedded systems, and wireless applications. This module is part of the upgraded WROOM-32E series, offering improved RF performance, better stability, and enhanced reliability compared to earlier versions like the 32D. Key Features (16MB Variant) Processor & Memory Dual-core Xtensa® 32-bit LX6 CPU, up to 240 MHz 520 KB SRAM + 448 KB ROM 16 MB SPI Flash (large storage for firmware/data) Optional variants with PSRAM for memory-intensive tasks Connectivity 2.4 GHz Wi-Fi (802.11 b/g/n) Bluetooth v4.2 (BR/EDR + BLE) Integrated PCB antenna (no external antenna needed) Peripherals & Interfaces Up to 26–38 GPIOs (depending on usage) Supports: UART, SPI, I2C, I2S PWM (LED & motor control) ADC, DAC Capacitive touch sensors SD/SDIO/MMC, CAN (TWAI) Electrical & Physical Operating voltage: 3.0V – 3.6V Operating temperature: –40°C to +85°C (industrial range) Compact size: 18 × 25.5 × 3.1 mm Typical Applications Smart home devices (lighting, appliances) IoT sensors and gateways Industrial automation systems Wearables and smart gadgets Audio/voice processing (thanks to dual-core + large flash) #module #ESP32 #16MB
67 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESP32-WROOM-32UE-N16
2.4GHz -98dBm SMD,19.2x18mm RF Transceiver Modules and Modems RoHS The ESP32-WROOM-32UE-N16 is a 2.4 GHz wireless MCU module built around the ESP32 SoC. It combines a dual-core processor, integrated Wi-Fi (802.11 b/g/n) and Bluetooth 4.2 (Classic + BLE), along with rich peripherals. The “UE” variant specifically uses a U.FL / IPEX connector for an external antenna, making it ideal for applications that require better RF performance or flexible antenna placement (e.g., enclosed products or long-range communication). The “N16” indicates 16 MB external flash memory, suitable for large firmware, OTA updates, and data-heavy applications. Processing Dual-core Xtensa LX6 32-bit CPU Clock speed up to 240 MHz Memory 16 MB Flash (N16 variant) ~520 KB SRAM + 448 KB ROM Connectivity Wi-Fi: 802.11 b/g/n (up to 150 Mbps) Bluetooth: v4.2 (BR/EDR + BLE) Frequency: 2.4 GHz band Antenna External antenna via U.FL connector Better range and flexibility vs PCB antenna Interfaces / Peripherals GPIO (≈26 usable pins) UART, SPI, I2C, I2S, SDIO ADC, DAC PWM (LED & motor control) Capacitive touch sensing Security Hardware encryption: AES, SHA, RSA Secure boot & flash encryption support Power Operating voltage: 3.0V – 3.6V (typ. 3.3V) Multiple low-power modes for battery applications Environmental Operating temperature: -40°C to +85°C Physical Surface-mount module (~38 pins / 52 pads depending on reference) Compact and RF-shielded design Typical Applications Smart home devices (IoT) Industrial automation Wireless sensors and data loggers Wearables and consumer electronics Remote monitoring systems #Module #ESP32
48 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESPRSSO32 Smart Scale AI Auto Layout [Example]
Learn how to use AI Auto Layout on this ESP32 Espresso Smart Scale! In one click you’ll see AI Auto Layout perform magic. Pay close attention to how we recommend creating rulesets, zones, and fanouts. By copying the setup in this example on your own project, you’ll have a fully routed board in no time!
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 StarsESP32 Robot Controller | AI Design Review Tutorial [Example]
Spot the mistake! Learn how to use AI to conduct a design review on an ESP32-based control board. This project is ideal for autonomous or radio-controller robots featuring inputs for sensors, encoders, and a Flysky RC receiver, plus an I2C display for configuration.
0 Uses0 Stars