Microchip PIC16LF723A-I/MV Microcontrollers PIC 192B 24 I/Os 20MHz

Microchip PIC16LF723A-I/MV 7 Kb Flash, 16 Mhz Int. Osc, Nanowatt Xlp 28 Uqfn 4X4X0.55MM Tube Rohs Compliant: Yes

Microchip PIC16LF723A-I/MV Microcontrollers Overview

The Microchip 7 Kb Flash Nanowatt Xlp Microcontroller is a versatile and energy-efficient solution designed for a wide range of embedded applications. With its compact 28 UQFN package, this microcontroller operates at a maximum frequency of 20 MHz and features a robust architecture that supports various communication interfaces, including I2C, SPI, and UART. Its low power consumption and wide operating temperature range make it ideal for battery-powered devices and industrial applications, ensuring reliable performance in demanding environments.

Key Features of Microchip PIC16LF723A-I/MV Microcontrollers

• Built to integrated Peripherals: PWM, A/D Converter, Timers, making integration easier across a wide range of systems.
• Engineered to 28-Pin UQFN Package, supporting dependable performance in real-world designs.
• Built to 7 kB Flash Memory, making integration easier across a wide range of systems.
• Optimized to operating Temperature Range: -40°C to 85°C, improving robustness in practical applications.
• Optimized to wide Supply Voltage Range (2.5V to 3.6V), improving robustness in practical applications.
• Optimized to roHS Compliant, improving robustness in practical applications.
• Built to 24 I/O Pins with Programmable Options, making integration easier across a wide range of systems.
• Optimized to 20 MHz Maximum Operating Frequency, improving robustness in practical applications.

Microchip PIC16LF723A-I/MV Microcontrollers Applications

Energy and Power Systems

• Often used in load shedding controllers disconnecting noncritical loads during peak demand events, where predictable behavior and reliability are important.
• Well-suited for microgrid controllers balancing local generation and demand in islanded operation, helping designers meet typical integration requirements.
• Commonly applied in power grid monitoring devices detecting faults and reporting status telemetry, 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.
• Well-suited for backup generator controllers sequencing start/stop and monitoring oil/temp parameters, helping designers meet typical integration requirements.

Robotics

• Often used in robotic lawn mowers controlling blade motors, boundary sensing, and route coverage, where predictable behavior and reliability are important.
• Commonly applied in social robots managing expressive motion, sensors, and user interaction logic, supporting stable and efficient system performance.
• Well-suited for humanoid robots managing balance with IMU feedback and coordinated joint control, helping designers meet typical integration requirements.
• Well-suited for robotic camera gimbals stabilizing footage with IMU feedback and motor control, helping designers meet typical integration requirements.
• Often used in educational robots teaching programming via safe motor control and sensor APIs, where predictable behavior and reliability are important.

Communication Devices

• Often used in loRaWAN nodes managing duty cycle limits and scheduled uplink transmissions, where predictable behavior and reliability are important.
• Well-suited for beacon transmitters generating periodic IDs and tracking battery health, helping designers meet typical integration requirements.
• Well-suited for paging transmitters controlling message encoding and timed broadcast slots, helping designers meet typical integration requirements.
• Often used in rF remote controllers sending encoded commands and supporting rolling-code security, where predictable behavior and reliability are important.
• Commonly applied in zigbee devices managing mesh networking, routing, and join/leave operations, supporting stable and efficient system performance.

Smart Infrastructure

• Commonly applied in smart crosswalk beacons managing flashing patterns and push-button inputs, supporting stable and efficient system performance.
• Commonly applied in building management systems controlling HVAC, elevators, and lighting coordination, supporting stable and efficient system performance.
• Commonly applied in flood monitoring systems measuring water levels and triggering early-warning alerts, supporting stable and efficient system performance.
• Often used in smart elevators optimizing traffic flow and managing predictive dispatch algorithms, where predictable behavior and reliability are important.
• Often used in bridge monitoring sensors detecting structural stress, vibration, and long-term fatigue trends, where predictable behavior and reliability are important.

Miscellaneous and Emerging Applications

• Well-suited for aI edge devices running lightweight inference and managing sensor pipelines, helping designers meet typical integration requirements.
• Often used in smart mirrors displaying information, controlling brightness, and handling touch input, where predictable behavior and reliability are important.
• Often used in smart keyboards scanning key matrices and supporting programmable lighting, where predictable behavior and reliability are important.
• Commonly applied in smart helmets monitoring impact sensors and sending post-event alerts, supporting stable and efficient system performance.
• Well-suited for laser cutters managing motion control, laser power modulation, and interlock switches, helping designers meet typical integration requirements.