PIC16LF1939T-I/MV Microchip PIC16LF1939T-I/MV Microcontrollers PIC 1kB 32MHz

Microchip PIC16LF1939T-I/MV Microcontrollers Overview

PIC series Microcontroller IC 8-Bit 32MHz 28KB (16K x 14) FLASH 40-UQFN (5×5)

Key Features of Microchip PIC16LF1939T-I/MV Microcontrollers

• Designed to core Architecture: PIC, helping ensure consistent and reliable operation.
• Engineered to rAM Size: 1kB, supporting dependable performance in real-world designs.
• Built to max Frequency: 32MHz, making integration easier across a wide range of systems.

Microchip PIC16LF1939T-I/MV Microcontrollers Applications

Medical Devices

• Well-suited for smart pill dispensers managing schedules, access control, and reminder alerts, helping designers meet typical integration requirements.
• Often used in heart rate monitors collecting ECG/PPG signals and calculating beat-to-beat intervals, where predictable behavior and reliability are important.
• Well-suited for defibrillators managing charging control, energy delivery, and safe discharge sequencing, helping designers meet typical integration requirements.
• Well-suited for dialysis machines controlling fluid exchange and monitoring conductivity/temperature, helping designers meet typical integration requirements.
• Well-suited for medical ventilators regulating airflow pressure with closed-loop control and safety limits, helping designers meet typical integration requirements.

Transportation

• Well-suited for electric scooters managing motor control, braking, and battery protection, helping designers meet typical integration requirements.
• Often used in elevator controllers managing motion profiles, door logic, and safety interlocks, where predictable behavior and reliability are important.
• Often used in roadside traffic sensors counting vehicles and estimating speed/flow metrics, where predictable behavior and reliability are important.
• Often used in rail crossing controllers synchronizing gates, lights, and approaching-train detection, where predictable behavior and reliability are important.
• Often used in infrastructure monitoring nodes tracking vibration/strain on roads and bridges, where predictable behavior and reliability are important.

Home Automation

• Often used in water leak detectors sensing moisture on probes and pushing alerts to mobile apps, where predictable behavior and reliability are important.
• Often used in smart doorbells handling cameras, button triggers, and network streaming events, where predictable behavior and reliability are important.
• Commonly applied in smoke detectors processing sensor data, running self-tests, and triggering audible alarms, supporting stable and efficient system performance.
• Commonly applied in smart air purifiers controlling fan speed based on PM/VOC sensor readings, supporting stable and efficient system performance.
• Commonly applied in smart light bulbs adjusting brightness, color, and wireless commands with low-power control, supporting stable and efficient system performance.

Robotics

• Commonly applied in social robots managing expressive motion, sensors, and user interaction logic, supporting stable and efficient system performance.
• Commonly applied in educational robots teaching programming via safe motor control and sensor APIs, supporting stable and efficient system performance.
• Well-suited for line-following robots processing reflectance sensors and adjusting motor PWM outputs, helping designers meet typical integration requirements.
• Well-suited for robotic vacuum cleaners mapping rooms and coordinating brushes, wheels, and docking, helping designers meet typical integration requirements.
• Well-suited for surgical robots controlling precise motion with strict safety constraints, helping designers meet typical integration requirements.

Experimental and Future Uses

• Well-suited for lab-on-chip controllers managing microfluidic valves and timing of reagent flow, helping designers meet typical integration requirements.
• Well-suited for artificial organ controllers managing operation timing and fail-safe monitoring, 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 intelligent swarm sensors coordinating distributed sampling and adaptive duty cycling, where predictable behavior and reliability are important.
• Often used in distributed acoustic sensing nodes synchronizing sampling and time alignment, where predictable behavior and reliability are important.