Microchip ATSAME54N19A-AF Microcontrollers 192kB 81 I/Os

Microchip ATSAME54N19A-AF MCU 32-Bit ARM Cortex-M4F RISC 512KB Flash 1.71V to 3.63V 100-Pin TQFP Tray

Microchip ATSAME54N19A-AF Microcontrollers Overview

The Microchip 32-Bit ARM Cortex-M4F RISC Microcontroller is a versatile and powerful solution designed for a wide range of embedded applications. With its robust 120MHz processing speed and extensive connectivity options, this microcontroller is ideal for projects requiring high performance and efficiency. Housed in a 100-pin TQFP package, it features a generous 512kB of FLASH memory and operates within a supply voltage range of 1.71V to 3.63V, making it suitable for various industrial and consumer applications. Its wide operating temperature range from -40°C to 125°C ensures reliability in demanding environments.

Key Features of Microchip ATSAME54N19A-AF Microcontrollers

• Optimized to robust Operating Temperature Range (-40°C to 125°C), improving robustness in practical applications.
• Designed to 120MHz Operating Frequency for High Performance, helping ensure consistent and reliable operation.
• Designed to advanced Peripheral Support: 2 A/D Converters, 32 ADC Channels, 37 PWM Channels, helping ensure consistent and reliable operation.
• Built to multiple Communication Interfaces: CAN, Ethernet, I2C, LIN, RS-485, SPI, USART, USB, making integration easier across a wide range of systems.
• Engineered to wide Supply Voltage Range (1.71V to 3.63V), supporting dependable performance in real-world designs.
• Built to 512kB FLASH Memory for Extensive Data Storage, making integration easier across a wide range of systems.
• Engineered to 32-Bit ARM Cortex-M4F RISC Architecture, supporting dependable performance in real-world designs.
• Engineered to 81 I/O Pins for Flexible Connectivity, supporting dependable performance in real-world designs.

Microchip ATSAME54N19A-AF Microcontrollers Applications

Home Automation

• Commonly applied in carbon monoxide detectors sampling gas sensors and issuing alerts at threshold levels, supporting stable and efficient system performance.
• Well-suited for smart air purifiers controlling fan speed based on PM/VOC sensor readings, helping designers meet typical integration requirements.
• Commonly applied in smart humidifiers regulating mist output to maintain target humidity levels, supporting stable and efficient system performance.
• Commonly applied in automated curtain systems controlling motors, end-stops, and scheduled open/close routines, supporting stable and efficient system performance.
• Commonly applied in smart thermostats monitoring temperature/humidity and controlling HVAC relays intelligently, supporting stable and efficient system performance.

Aerospace and Defense

• Often used in uAV controllers managing navigation waypoints, stabilization, and failsafe behaviors, where predictable behavior and reliability are important.
• Often used in missile guidance systems processing IMU/GPS and controlling fins under strict constraints, where predictable behavior and reliability are important.
• Often used in flight control systems managing sensor inputs and actuators with redundant safety logic, where predictable behavior and reliability are important.
• Commonly applied in secure access modules enforcing authentication for sensitive equipment operations, supporting stable and efficient system performance.
• Often used in autonomous defense drones coordinating sensors and mission logic with safety rules, where predictable behavior and reliability are important.

Miscellaneous and Emerging Applications

• Often used in smart label printers controlling motors, thermal heads, and connectivity, where predictable behavior and reliability are important.
• Often used in vR controllers processing motion tracking and low-latency button events, where predictable behavior and reliability are important.
• Often used in smart musical instruments processing input sensors and generating digital sound control, where predictable behavior and reliability are important.
• Commonly applied in smart mirrors displaying information, controlling brightness, and handling touch input, supporting stable and efficient system performance.
• Often used in smart helmets monitoring impact sensors and sending post-event alerts, where predictable behavior and reliability are important.

Communication Devices

• Often used in wireless microphones managing channel hopping and battery monitoring, where predictable behavior and reliability are important.
• Well-suited for two-way radios managing encryption, channel scanning, and battery-saving modes, helping designers meet typical integration requirements.
• Well-suited for nFC readers polling tags and handling secure element interactions, helping designers meet typical integration requirements.
• Often used in v2X communication units exchanging safety messages with timing and security checks, where predictable behavior and reliability are important.
• Often used in beacon transmitters generating periodic IDs and tracking battery health, where predictable behavior and reliability are important.

Wearable Devices

• Well-suited for smart helmets monitoring impacts and logging safety events for review, helping designers meet typical integration requirements.
• Well-suited for wearable panic buttons triggering emergency alerts and optional location beacons, helping designers meet typical integration requirements.
• Often used in health monitoring wearables tracking vital signs and syncing data to mobile apps, where predictable behavior and reliability are important.
• Commonly applied in sleep tracking devices analyzing motion and heart rate for sleep quality metrics, supporting stable and efficient system performance.
• Commonly applied in smart rings monitoring activity, skin temperature, and low-power connectivity, supporting stable and efficient system performance.