ATTINY84A-MUR Microchip ATTINY84A-MUR Microcontrollers AVR 512B 12 I/Os 20MHz

Microchip ATTINY84A-MUR Microcontrollers Overview

AVR series Microcontroller IC 8-Bit 2MHz 8KB (4K x 16) FLASH 2-QFN-EP (4×4)

Key Features of Microchip ATTINY84A-MUR Microcontrollers

• Designed to max Frequency: 20MHz, helping ensure consistent and reliable operation.
• Optimized to rAM Size: 512B, improving robustness in practical applications.
• Built to number of I/Os: 12, making integration easier across a wide range of systems.
• Optimized to core Architecture: AVR, improving robustness in practical applications.

Microchip ATTINY84A-MUR Microcontrollers Applications

Internet of Things (IoT)

• Commonly applied in smart home hubs acting as IoT coordinators for device discovery and automation, supporting stable and efficient system performance.
• Often used in ioT gateways managing protocol translation between BLE/Zigbee/Modbus and IP networks, where predictable behavior and reliability are important.
• Often used in smart farming drones coordinating navigation, sensors, and telemetry reporting, where predictable behavior and reliability are important.
• Well-suited for smart city sensors monitoring traffic flow and environmental pollution indicators, helping designers meet typical integration requirements.
• Often used in smart energy meters measuring voltage/current and reporting real-time consumption, where predictable behavior and reliability are important.

Education and Research

• Commonly applied in automated test benches controlling measurements, relays, and repeatable sequences, supporting stable and efficient system performance.
• Well-suited for student robotics kits managing motors, sensors, and safe power distribution, helping designers meet typical integration requirements.
• Often used in student-built weather stations collecting data and visualizing results in class, where predictable behavior and reliability are important.
• Well-suited for data acquisition systems sampling analog sensors and streaming logged measurements, helping designers meet typical integration requirements.
• Often used in embedded AI experiment platforms coordinating sensors and lightweight inference pipelines, where predictable behavior and reliability are important.

Communication Devices

• Commonly applied in bluetooth modules controlling pairing, connection state, and low-energy advertising, supporting stable and efficient system performance.
• Often used in loRaWAN nodes managing duty cycle limits and scheduled uplink transmissions, where predictable behavior and reliability are important.
• Well-suited for rF remote controllers sending encoded commands and supporting rolling-code security, helping designers meet typical integration requirements.
• Commonly applied in smart antennas adjusting orientation, gain, and calibration routines for link quality, supporting stable and efficient system performance.
• Commonly applied in walkie-talkies managing audio capture, channel selection, and push-to-talk state, supporting stable and efficient system performance.

Miscellaneous and Emerging Applications

• Commonly applied in smart musical instruments processing input sensors and generating digital sound control, supporting stable and efficient system performance.
• Well-suited for smart toys managing sensors, audio playback, LEDs, and sleep timers, helping designers meet typical integration requirements.
• Often used in aI edge devices running lightweight inference and managing sensor pipelines, 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 3D printers controlling stepper motors, heaters, and endstop/thermal safety sensors, where predictable behavior and reliability are important.

Transportation

• Commonly applied in automated toll systems handling vehicle detection, payment triggers, and barrier control, supporting stable and efficient system performance.
• Often used in tunnel ventilation controllers adjusting fans based on CO/visibility sensor data, where predictable behavior and reliability are important.
• Well-suited for escalator control systems monitoring speed, load, and emergency stop circuits, helping designers meet typical integration requirements.
• Well-suited for infrastructure monitoring nodes tracking vibration/strain on roads and bridges, helping designers meet typical integration requirements.
• Often used in airport baggage handling controllers routing bags using sensors and diverter actuators, where predictable behavior and reliability are important.