PIC24FJ64GA306T-I/MR Microchip PIC24FJ64GA306T-I/MR Microcontrollers PIC 8kB 53 I/Os 32MHz

Microchip PIC24FJ64GA306T-I/MR Microcontrollers Overview

16-bit MCU/DSC, 64 KB, 8192 Bytes, 32 MHz, 2 to 3.6V, QFN-64, RoHS

Key Features of Microchip PIC24FJ64GA306T-I/MR Microcontrollers

• Optimized to max Frequency: 32MHz, improving robustness in practical applications.
• Built to core Architecture: PIC, making integration easier across a wide range of systems.
• Engineered to rAM Size: 8kB, supporting dependable performance in real-world designs.
• Optimized to number of I/Os: 53, improving robustness in practical applications.

Microchip PIC24FJ64GA306T-I/MR Microcontrollers Applications

Smart Infrastructure

• Often used in bridge monitoring sensors detecting structural stress, vibration, and long-term fatigue trends, where predictable behavior and reliability are important.
• Often used in utility pole monitors detecting power quality issues and outage events, where predictable behavior and reliability are important.
• Well-suited for smart elevators optimizing traffic flow and managing predictive dispatch algorithms, helping designers meet typical integration requirements.
• Often used in tunnel ventilation control systems adjusting fans based on air-quality sensor data, where predictable behavior and reliability are important.
• Often used in smart grid substations controlling distribution switching and fault isolation routines, where predictable behavior and reliability are important.

Home Automation

• Well-suited for smart sirens coordinating alarm states and responding to multi-sensor events, helping designers meet typical integration requirements.
• Commonly applied in smart light switches scanning button presses, driving dimmers, and reporting state to hubs, supporting stable and efficient system performance.
• Commonly applied in smart doorbells handling cameras, button triggers, and network streaming events, supporting stable and efficient system performance.
• Often used in smart window sensors detecting open/close state and triggering automation rules, where predictable behavior and reliability are important.
• Well-suited for garage door controllers managing motor movement, limit switches, and obstruction sensors, helping designers meet typical integration requirements.

Automotive Applications

• Well-suited for keyless entry systems managing proximity authentication and immobilizer communication, helping designers meet typical integration requirements.
• Often used in rain-sensing wipers reading optical sensors and adjusting wipe intervals automatically, where predictable behavior and reliability are important.
• Often used in engine control units managing fuel injection, ignition timing, and sensor fusion logic, where predictable behavior and reliability are important.
• Well-suited for anti-lock braking systems monitoring wheel speed and modulating brake pressure rapidly, helping designers meet typical integration requirements.
• Well-suited for headlight controllers managing auto high-beam, leveling motors, and DRL patterns, helping designers meet typical integration requirements.

Experimental and Future Uses

• Well-suited for precision agriculture micro-nodes using novel energy harvesting and adaptive scheduling, helping designers meet typical integration requirements.
• Commonly applied in soft robotics controllers managing pneumatic channels and deformation sensing, supporting stable and efficient system performance.
• Often used in autonomous sensor pods for extreme environments managing heaters and survival power modes, where predictable behavior and reliability are important.
• Commonly applied in edge federated learning nodes coordinating training cycles and secure updates, supporting stable and efficient system performance.
• Often used in micro-scale robotics controllers coordinating tiny actuators and sensor readouts, where predictable behavior and reliability are important.

Industrial Automation

• Well-suited for predictive maintenance nodes monitoring vibration/temperature and flagging anomalies, helping designers meet typical integration requirements.
• Well-suited for process control nodes regulating flow rates using pumps and feedback sensors, helping designers meet typical integration requirements.
• Well-suited for automated inspection systems processing sensor/vision signals and sorting pass/fail parts, helping designers meet typical integration requirements.
• Well-suited for factory data loggers collecting sensor data, time-stamping events, and storing trends, helping designers meet typical integration requirements.
• Often used in safety controllers monitoring E-stops and light curtains to guarantee safe stop behavior, where predictable behavior and reliability are important.