This guide provides a detailed overview of how to interface ESP32 and ESP8266 in a project, including hardware setup, software configuration, testing, and debugging. It helps developers leverage the unique features of both microcontrollers.
This article explores the possibility of using ESP32 and ESP8266 in the same project, including the reasons, methods, and considerations. It provides insights for developers looking to combine these two popular microcontroller units.
Explore the key differences between ESP32 and ESP8266 in terms of architecture, performance, connectivity, power consumption, peripherals, and cost. This guide helps developers choose the most suitable chip for their IoT projects.
This guide details the features of the ESP - Spot AI voice interaction module, including its integrated hardware, voice and motion recognition capabilities, power supply options, and working states. It also explores its applications in smart toys, voice assistants, and home automation, highlighting its open - source advantage.
This article provides guidance on how to select the appropriate pH sensor according to application requirements, sensor type, and specifications, and how to maintain it through calibration, cleaning, and proper storage.
This article explores the applications of pH sensors in the food and beverage, pharmaceutical, and environmental monitoring industries, highlighting their importance in ensuring product quality, process control, and environmental protection.
This article explains the working principles of pH sensors, including the glass electrode and ISFET principles. It also introduces different types of pH sensors such as glass, ISFET, and optical sensors, along with their characteristics and applications.
The MUSE Pi Pro is a credit card-sized single-board computer featuring an 8-core RISC-V K1 processor, 2TOPS AI computing power, and comprehensive I/O interfaces. Designed for robotics, edge computing, and AIoT applications, it supports multiple operating systems and provides complete development tools for efficient intelligent product development.
Open-source AI vision camera featuring STM32N6+STM32U0 dual-MCU architecture, delivering 0.6 TOPS at 3 TOPS/W efficiency with modular design for smart city, industrial, and agricultural applications.
STMicroelectronics announces STM32CubeIDE 2.0.0, decoupling STM32CubeMX from the IDE to improve flexibility, performance, and stability for STM32 developers working with over 4,000 devices.
