PIC16LF1827T-I/SO Microchip PIC16LF1827T-I/SO Microcontrollers PIC 384B 32kHz 3.3V

Microchip PIC16LF1827T-I/SO Microcontrollers Overview

PIC series Microcontroller IC 8-Bit 32MHz 7KB (4K x 14) FLASH 18-SOIC

Key Features of Microchip PIC16LF1827T-I/SO Microcontrollers

• Built to core Architecture: PIC, making integration easier across a wide range of systems.
• Designed to rAM Size: 384B, helping ensure consistent and reliable operation.
• Built to operating Supply Voltage: 3.3V, making integration easier across a wide range of systems.
• Built to max Frequency: 32kHz, making integration easier across a wide range of systems.

Microchip PIC16LF1827T-I/SO Microcontrollers Applications

Education and Research

• Well-suited for development boards for teaching embedded systems, GPIO control, and peripheral interfacing, helping designers meet typical integration requirements.
• Commonly applied in biomedical teaching devices measuring EMG/ECG signals with basic filtering, supporting stable and efficient system performance.
• Often used in robotics competition timers controlling scoring sensors and match sequence logic, where predictable behavior and reliability are important.
• Well-suited for embedded AI experiment platforms coordinating sensors and lightweight inference pipelines, helping designers meet typical integration requirements.
• Well-suited for student robotics kits managing motors, sensors, and safe power distribution, helping designers meet typical integration requirements.

Energy and Power Systems

• Well-suited for smart inverters converting DC to AC and maintaining grid synchronization, helping designers meet typical integration requirements.
• Often used in uninterruptible power supplies managing switchover timing and battery health checks, where predictable behavior and reliability are important.
• Well-suited for substation monitoring nodes collecting sensor data and issuing alarms to SCADA, helping designers meet typical integration requirements.
• Often used in smart meters measuring consumption and supporting remote reading/reporting, where predictable behavior and reliability are important.
• Commonly applied in dC-DC converter controllers regulating output voltage across varying loads, supporting stable and efficient system performance.

Security and Surveillance

• Well-suited for access badges readers managing RFID/NFC polling and secure handshake protocols, helping designers meet typical integration requirements.
• Commonly applied in biometric scanners processing fingerprint images and matching templates securely, supporting stable and efficient system performance.
• Well-suited for facial recognition terminals managing camera capture and local authentication workflows, helping designers meet typical integration requirements.
• Commonly applied in door controllers managing electric strikes, request-to-exit sensors, and timeouts, supporting stable and efficient system performance.
• Commonly applied in intrusion detection systems monitoring sensors and triggering sirens and notifications, supporting stable and efficient system performance.

Internet of Things (IoT)

• Commonly applied in smart retail shelf sensors monitoring inventory levels and generating restock alerts, supporting stable and efficient system performance.
• Well-suited for smart city sensors monitoring traffic flow and environmental pollution indicators, helping designers meet typical integration requirements.
• Commonly applied in smart energy meters measuring voltage/current and reporting real-time consumption, supporting stable and efficient system performance.
• Often used in smart streetlights adjusting brightness based on ambient light and motion triggers, where predictable behavior and reliability are important.
• Often used in environmental monitoring nodes measuring air quality (PM/VOC/CO?) and logging trends, where predictable behavior and reliability are important.

Wearable Devices

• Often used in posture trainers detecting orientation and providing corrective haptic feedback, where predictable behavior and reliability are important.
• Commonly applied in sports performance wearables tracking cadence, stride, and training load, supporting stable and efficient system performance.
• Well-suited for fitness trackers counting steps using accelerometers and estimating activity intensity, helping designers meet typical integration requirements.
• Well-suited for sleep tracking devices analyzing motion and heart rate for sleep quality metrics, helping designers meet typical integration requirements.
• Well-suited for uV exposure wearables estimating sunlight dose and alerting thresholds, helping designers meet typical integration requirements.