PIC16F1829T-I/ML Microchip PIC16F1829T-I/ML Microcontrollers PIC 1kB 17 I/Os 32MHz

Microchip PIC16F1829T-I/ML Microcontrollers Overview

MCU 8-bit PIC RISC 14KB Flash 2.5V/3.3V/5V Automotive 20-Pin QFN EP T/R

Key Features of Microchip PIC16F1829T-I/ML Microcontrollers

• Designed to max Frequency: 32MHz, helping ensure consistent and reliable operation.
• Designed to core Architecture: PIC, helping ensure consistent and reliable operation.
• Optimized to number of I/Os: 17, improving robustness in practical applications.
• Built to rAM Size: 1kB, making integration easier across a wide range of systems.

Microchip PIC16F1829T-I/ML Microcontrollers Applications

Home Automation

• Often used in smart window sensors detecting open/close state and triggering automation rules, where predictable behavior and reliability are important.
• Well-suited for smart light switches scanning button presses, driving dimmers, and reporting state to hubs, helping designers meet typical integration requirements.
• Commonly applied in smart thermostats monitoring temperature/humidity and controlling HVAC relays intelligently, supporting stable and efficient system performance.
• Often used in smart air purifiers controlling fan speed based on PM/VOC sensor readings, where predictable behavior and reliability are important.
• Well-suited for smart light bulbs adjusting brightness, color, and wireless commands with low-power control, helping designers meet typical integration requirements.

Industrial Automation

• Commonly applied in packaging machines coordinating actuators, sealing heaters, and timing for throughput, supporting stable and efficient system performance.
• Commonly applied in chemical mixing controllers managing agitators, timing, and hazard-safe shutdown logic, supporting stable and efficient system performance.
• Often used in assembly line controllers synchronizing multiple machines and handling line stoppages, where predictable behavior and reliability are important.
• Well-suited for conveyor belt systems controlling speed, spacing logic, and object detection sensors, helping designers meet typical integration requirements.
• Commonly applied in factory data loggers collecting sensor data, time-stamping events, and storing trends, supporting stable and efficient system performance.

Retail and Commercial

• Commonly applied in refrigerated display controllers regulating temperature and monitoring door openings, supporting stable and efficient system performance.
• Commonly applied in inventory trackers logging RFID reads and syncing updates to backend systems, supporting stable and efficient system performance.
• Commonly applied in access control systems managing RFID readers, PIN pads, and door relays, supporting stable and efficient system performance.
• Well-suited for barcode scanners decoding optical signals and managing trigger/laser timing, helping designers meet typical integration requirements.
• Commonly applied in coin/bill acceptors managing validation sensors and jam detection, supporting stable and efficient system performance.

Experimental and Future Uses

• Commonly applied in autonomous sensor pods for extreme environments managing heaters and survival power modes, supporting stable and efficient system performance.
• Often used in edge federated learning nodes coordinating training cycles and secure updates, where predictable behavior and reliability are important.
• Well-suited for smart prosthetics controlling actuators using sensor fusion and intent estimation, helping designers meet typical integration requirements.
• Often used in soft robotics controllers managing pneumatic channels and deformation sensing, where predictable behavior and reliability are important.
• Commonly applied in smart textiles with embedded control managing distributed sensing and low-power communications, supporting stable and efficient system performance.

Aerospace and Defense

• Well-suited for ground station controllers managing antenna tracking and uplink command scheduling, helping designers meet typical integration requirements.
• Well-suited for navigation systems processing GPS and inertial data for robust position estimates, helping designers meet typical integration requirements.
• Often used in aircraft health monitors logging vibration/temperature and reporting maintenance events, where predictable behavior and reliability are important.
• Commonly applied in secure access modules enforcing authentication for sensitive equipment operations, supporting stable and efficient system performance.
• Commonly applied in missile guidance systems processing IMU/GPS and controlling fins under strict constraints, supporting stable and efficient system performance.