PIC32MX210F016B-I/SO Microchip PIC32MX210F016B-I/SO Microcontrollers PIC 4kB 40MHz

Microchip PIC32MX210F016B-I/SO Microcontrollers Overview

The Microchip 32 Bit MCU is a versatile microcontroller designed for a wide range of applications requiring efficient processing and reliable performance. With a robust architecture based on the PIC core, this MCU operates at a maximum frequency of 40 MHz and features 16KB of FLASH memory and 4KB of RAM. Housed in a compact 28-pin SOIC package, it supports multiple interfaces including I2C, SPI, and USB, making it an ideal choice for embedded systems that demand flexibility and high-speed communication. Its operational temperature range of -40°C to 85°C ensures reliability in harsh environments, while its lead-free and RoHS-compliant design meets modern environmental standards.

Key Features of Microchip PIC32MX210F016B-I/SO Microcontrollers

• Built to lead-Free and RoHS Compliant, making integration easier across a wide range of systems.
• Designed to wide Operating Temperature Range (-40°C to 85°C), helping ensure consistent and reliable operation.
• Engineered to 19 Programmable I/O Pins and 15 Timers/Counters, supporting dependable performance in real-world designs.
• Designed to watchdog Timer for Enhanced Reliability, helping ensure consistent and reliable operation.
• Engineered to 16KB FLASH Memory and 4KB RAM, supporting dependable performance in real-world designs.
• Engineered to multiple Communication Interfaces: I2C, SPI, UART, USB, supporting dependable performance in real-world designs.
• Engineered to 32-bit PIC Core Architecture, supporting dependable performance in real-world designs.
• Designed to 28-Pin SOIC Package for Space Efficiency, helping ensure consistent and reliable operation.
• Optimized to max Operating Frequency of 40 MHz, improving robustness in practical applications.

Microchip PIC32MX210F016B-I/SO Microcontrollers Applications

Robotics

• Commonly applied in robotic vacuum cleaners mapping rooms and coordinating brushes, wheels, and docking, supporting stable and efficient system performance.
• Often used in autonomous mobile robots managing navigation, mapping, and obstacle avoidance routines, where predictable behavior and reliability are important.
• Well-suited for robotic grippers controlling force using tactile sensors and closed-loop feedback, helping designers meet typical integration requirements.
• Often used in surgical robots controlling precise motion with strict safety constraints, where predictable behavior and reliability are important.
• Commonly applied in robotic arms in labs automating repetitive procedures with programmable sequences, supporting stable and efficient system performance.

Wearable Devices

• Commonly applied in smart helmets monitoring impacts and logging safety events for review, supporting stable and efficient system performance.
• Well-suited for wearable ECG patches amplifying signals and storing episodic arrhythmia events, helping designers meet typical integration requirements.
• Often used in smart glasses handling camera control, micro-displays, and touch/button inputs, where predictable behavior and reliability are important.
• Commonly applied in medical wearables enabling continuous monitoring and event-based alerts, supporting stable and efficient system performance.
• Well-suited for smart insoles measuring pressure distribution and supporting gait analysis, helping designers meet typical integration requirements.

Energy and Power Systems

• Commonly applied in industrial power monitors logging energy usage for audits and optimization, supporting stable and efficient system performance.
• Well-suited for energy storage controllers coordinating charge/discharge schedules and thermal control, helping designers meet typical integration requirements.
• Often used in smart meters measuring consumption and supporting remote reading/reporting, where predictable behavior and reliability are important.
• Often used in dC-DC converter controllers regulating output voltage across varying loads, where predictable behavior and reliability are important.
• Commonly applied in transformer monitoring units tracking temperature, load, and aging indicators, supporting stable and efficient system performance.

Transportation

• Often used in fuel management systems measuring tank levels and detecting leaks/theft patterns, where predictable behavior and reliability are important.
• Commonly applied in automated toll systems handling vehicle detection, payment triggers, and barrier control, supporting stable and efficient system performance.
• Well-suited for roadside traffic sensors counting vehicles and estimating speed/flow metrics, helping designers meet typical integration requirements.
• Often used in escalator control systems monitoring speed, load, and emergency stop circuits, where predictable behavior and reliability are important.
• Commonly applied in autonomous buses managing navigation sensors and drive-by-wire control modules, supporting stable and efficient system performance.

Education and Research

• Well-suited for data acquisition systems sampling analog sensors and streaming logged measurements, helping designers meet typical integration requirements.
• Often used in automated test benches controlling measurements, relays, and repeatable sequences, where predictable behavior and reliability are important.
• Commonly applied in environmental research buoys logging sensor data and transmitting summaries periodically, supporting stable and efficient system performance.
• Commonly applied in university lab safety monitors reading gas/temperature sensors and triggering alarms, supporting stable and efficient system performance.
• Commonly applied in biomedical teaching devices measuring EMG/ECG signals with basic filtering, supporting stable and efficient system performance.