Microchip ATSAME70N21A-AN Microcontrollers ARM 384kB 75 I/Os 300MHz

Microchip ATSAME70N21A-AN MCU 32-Bit SAM E70 ARM Cortex M7 RISC 2048KB Flash 1.2V/3.3V 100-Pin LQFP Tray

Microchip ATSAME70N21A-AN Microcontrollers Overview

MCU 32-Bit SAM E70 ARM Cortex M7 RISC 2048KB Flash 1.2V/3.3V 100-Pin LQFP Tray

Key Features of Microchip ATSAME70N21A-AN Microcontrollers

• Engineered to number of I/Os: 75, supporting dependable performance in real-world designs.
• Optimized to core Architecture: ARM, improving robustness in practical applications.
• Designed to max Frequency: 300MHz, helping ensure consistent and reliable operation.
• Engineered to rAM Size: 384kB, supporting dependable performance in real-world designs.

Microchip ATSAME70N21A-AN Microcontrollers Applications

Consumer Electronics

• Commonly applied in smart TVs managing standby control, HDMI-CEC signaling, and front-panel key scanning, supporting stable and efficient system performance.
• Commonly applied in set-top boxes controlling boot flow, LED indicators, and remote input decoding, supporting stable and efficient system performance.
• Often used in smart speakers managing voice input, LEDs, button events, and wireless connectivity, where predictable behavior and reliability are important.
• Often used in air conditioners regulating temperature, fan speed, compressor operation, and defrost routines, where predictable behavior and reliability are important.
• Often used in electric shavers controlling motor speed regulation, stall detection, and charging indicators, where predictable behavior and reliability are important.

Education and Research

• Often used in university lab safety monitors reading gas/temperature sensors and triggering alarms, where predictable behavior and reliability are important.
• Well-suited for research prototypes testing new control algorithms on real hardware platforms, helping designers meet typical integration requirements.
• Well-suited for embedded AI experiment platforms coordinating sensors and lightweight inference pipelines, helping designers meet typical integration requirements.
• Well-suited for educational IoT labs using microcontrollers to teach networking and telemetry, helping designers meet typical integration requirements.
• Often used in microcontroller-based spectroscopy rigs controlling LEDs and photodiode sampling, where predictable behavior and reliability are important.

Energy and Power Systems

• Commonly applied in load shedding controllers disconnecting noncritical loads during peak demand events, supporting stable and efficient system performance.
• Often used in industrial power monitors logging energy usage for audits and optimization, where predictable behavior and reliability are important.
• Commonly applied in electric vehicle chargers controlling charging current and handshake/protection logic, supporting stable and efficient system performance.
• Well-suited for battery management systems monitoring voltage/temperature and balancing battery cells, helping designers meet typical integration requirements.
• Often used in substation monitoring nodes collecting sensor data and issuing alarms to SCADA, where predictable behavior and reliability are important.

Internet of Things (IoT)

• Commonly applied in connected irrigation controllers controlling valves based on schedules and sensor feedback, supporting stable and efficient system performance.
• Commonly applied in industrial IoT sensors measuring vibration/temperature and reporting machine health, supporting stable and efficient system performance.
• Often used in ioT soil moisture sensors monitoring agricultural fields with low-power duty cycles, where predictable behavior and reliability are important.
• Well-suited for smart farming drones coordinating navigation, sensors, and telemetry reporting, helping designers meet typical integration requirements.
• Often used in smart streetlights adjusting brightness based on ambient light and motion triggers, where predictable behavior and reliability are important.

Wearable Devices

• Well-suited for smart glasses handling camera control, micro-displays, and touch/button inputs, helping designers meet typical integration requirements.
• Well-suited for wearable ECG patches amplifying signals and storing episodic arrhythmia events, 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 smartwatches managing displays, sensors, notifications, and battery optimization, supporting stable and efficient system performance.
• Commonly applied in uV exposure wearables estimating sunlight dose and alerting thresholds, supporting stable and efficient system performance.