PIC16LF1825-I/ST Microchip PIC16LF1825-I/ST Microcontrollers PIC 1kB 11 I/Os 32MHz

Microchip PIC16LF1825-I/ST Microcontrollers Overview

Microchip PIC16LF1825-I/ST, 8bit PIC Microcontroller, 32MHz, 8k words Flash, 14-Pin TSSOP

Key Features of Microchip PIC16LF1825-I/ST Microcontrollers

• 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.
• Engineered to number of I/Os: 11, supporting dependable performance in real-world designs.
• Designed to core Architecture: PIC, helping ensure consistent and reliable operation.

Microchip PIC16LF1825-I/ST Microcontrollers Applications

Wearable Devices

• Often used in gesture recognition bands processing IMU signals to detect hand/arm movements, where predictable behavior and reliability are important.
• Commonly applied in haptic wearables generating vibration cues for navigation or accessibility prompts, supporting stable and efficient system performance.
• Often used in smart rings monitoring activity, skin temperature, and low-power connectivity, where predictable behavior and reliability are important.
• Often used in smartwatches managing displays, sensors, notifications, and battery optimization, where predictable behavior and reliability are important.
• Commonly applied in industrial safety wearables detecting hazardous exposure and issuing warnings, supporting stable and efficient system performance.

Internet of Things (IoT)

• Well-suited for smart weather stations collecting climate data and transmitting telemetry to cloud services, helping designers meet typical integration requirements.
• Well-suited for smart retail shelf sensors monitoring inventory levels and generating restock alerts, helping designers meet typical integration requirements.
• Often used in asset tracking devices managing GPS fixes and cellular/NB-IoT communication sessions, where predictable behavior and reliability are important.
• Commonly applied in smart city sensors monitoring traffic flow and environmental pollution indicators, supporting stable and efficient system performance.
• Well-suited for smart energy meters measuring voltage/current and reporting real-time consumption, helping designers meet typical integration requirements.

Industrial Automation

• Commonly applied in predictive maintenance nodes monitoring vibration/temperature and flagging anomalies, supporting stable and efficient system performance.
• Well-suited for chemical mixing controllers managing agitators, timing, and hazard-safe shutdown logic, helping designers meet typical integration requirements.
• Commonly applied in safety controllers monitoring E-stops and light curtains to guarantee safe stop behavior, supporting stable and efficient system performance.
• Well-suited for factory data loggers collecting sensor data, time-stamping events, and storing trends, helping designers meet typical integration requirements.
• Often used in pneumatic controllers timing solenoids and monitoring air pressure for reliability, where predictable behavior and reliability are important.

Medical Devices

• Commonly applied in hearing aids processing audio input, adaptive gain, and feedback cancellation, supporting stable and efficient system performance.
• Commonly applied in wearable medical monitors logging long-term trends and syncing data securely, supporting stable and efficient system performance.
• Well-suited for smart pill dispensers managing schedules, access control, and reminder alerts, helping designers meet typical integration requirements.
• Well-suited for blood pressure monitors controlling pumps/valves and analyzing oscillometric waveforms, helping designers meet typical integration requirements.
• Often used in surgical tool controllers regulating speed/torque and enforcing safe operating windows, where predictable behavior and reliability are important.

Education and Research

• Commonly applied in classroom voting systems collecting responses and reporting aggregated results, supporting stable and efficient system performance.
• Often used in embedded AI experiment platforms coordinating sensors and lightweight inference pipelines, where predictable behavior and reliability are important.
• Commonly applied in physics experiment controllers managing sensors, actuators, and precise timing loops, supporting stable and efficient system performance.
• Often used in data acquisition systems sampling analog sensors and streaming logged measurements, where predictable behavior and reliability are important.
• Well-suited for biomedical teaching devices measuring EMG/ECG signals with basic filtering, helping designers meet typical integration requirements.