Microchip DSPIC33FJ64GP802-I/SO Microcontrollers dsPIC 16kB 21 I/Os 40MHz 3.3V

Microchip DSPIC33FJ64GP802-I/SO MCU 16-bit dsPIC RISC 64KB Flash 3.3V Automotive 28-Pin SOIC W Tube

Microchip DSPIC33FJ64GP802-I/SO Microcontrollers Overview

The Microchip dsPIC33FJ is a versatile 16-bit RISC microcontroller designed for automotive applications, featuring a robust architecture with 64KB of Flash memory and a maximum operating frequency of 40MHz. This microcontroller is housed in a compact 28-pin SOIC W package, making it ideal for space-constrained designs. With a wide range of interfaces including CAN, I2C, SPI, and UART, the dsPIC33FJ is engineered to meet the demanding requirements of automotive environments, operating reliably in temperatures from -40°C to 85°C.

Key Features of Microchip DSPIC33FJ64GP802-I/SO Microcontrollers

• Designed to multiple Communication Interfaces: CAN, I2C, SPI, UART, helping ensure consistent and reliable operation.
• Built to comprehensive I/O Support with 21 Programmable I/Os, making integration easier across a wide range of systems.
• Engineered to surface Mount SOIC W Package, supporting dependable performance in real-world designs.
• Designed to 64KB Flash Memory with 16KB RAM, helping ensure consistent and reliable operation.
• Built to robust Peripherals including PWM, DMA, and Watchdog Timer, making integration easier across a wide range of systems.
• Engineered to max Operating Frequency of 40MHz, supporting dependable performance in real-world designs.
• Built to wide Operating Voltage Range (3V to 3.6V), making integration easier across a wide range of systems.
• Optimized to 16-bit dsPIC RISC Architecture, improving robustness in practical applications.
• Engineered to automotive Grade with Extended Temperature Range (-40°C to 85°C), supporting dependable performance in real-world designs.

Microchip DSPIC33FJ64GP802-I/SO Microcontrollers Applications

Security and Surveillance

• Often used in intrusion detection systems monitoring sensors and triggering sirens and notifications, where predictable behavior and reliability are important.
• Commonly applied in biometric scanners processing fingerprint images and matching templates securely, supporting stable and efficient system performance.
• Commonly applied in anti-theft retail tags managing RF signaling and deactivation verification, supporting stable and efficient system performance.
• Commonly applied in access badges readers managing RFID/NFC polling and secure handshake protocols, supporting stable and efficient system performance.
• Commonly applied in body-worn cameras controlling recording state, timestamps, and secure storage, supporting stable and efficient system performance.

Entertainment and Media

• Commonly applied in lED costume controllers animating patterns based on motion or music input, supporting stable and efficient system performance.
• Often used in broadcast automation panels controlling tally lights, triggers, and studio signaling, where predictable behavior and reliability are important.
• Commonly applied in lED video walls synchronizing panels, refresh timing, and content switching, supporting stable and efficient system performance.
• Well-suited for dJ controllers handling jog wheels, buttons, LEDs, and MIDI-style messaging, helping designers meet typical integration requirements.
• Often used in stage pyrotechnic safety controllers enforcing arming logic and interlock checks, where predictable behavior and reliability are important.

Education and Research

• Commonly applied in power electronics lab controllers managing gate drivers and protection circuits, supporting stable and efficient system performance.
• Often used in physics experiment controllers managing sensors, actuators, and precise timing loops, where predictable behavior and reliability are important.
• Often used in development boards for teaching embedded systems, GPIO control, and peripheral interfacing, where predictable behavior and reliability are important.
• Often used in biomedical teaching devices measuring EMG/ECG signals with basic filtering, where predictable behavior and reliability are important.
• Often used in classroom voting systems collecting responses and reporting aggregated results, where predictable behavior and reliability are important.

Experimental and Future Uses

• Often used in precision agriculture micro-nodes using novel energy harvesting and adaptive scheduling, where predictable behavior and reliability are important.
• Often used in artificial organ controllers managing operation timing and fail-safe monitoring, where predictable behavior and reliability are important.
• Well-suited for nanotechnology fabrication controllers coordinating micro-positioners and sensor feedback, helping designers meet typical integration requirements.
• Well-suited for autonomous research buoys monitoring oceans and transmitting summarized sensor data, helping designers meet typical integration requirements.
• Commonly applied in micro-scale robotics controllers coordinating tiny actuators and sensor readouts, supporting stable and efficient system performance.

Internet of Things (IoT)

• Commonly applied in ultra-low-power sensor nodes operating for years by sleeping between measurements, supporting stable and efficient system performance.
• Often used in smart farming drones coordinating navigation, sensors, and telemetry reporting, where predictable behavior and reliability are important.
• Commonly applied in environmental monitoring nodes measuring air quality (PM/VOC/CO2) and logging trends, supporting stable and efficient system performance.
• Well-suited for remote pump monitors supervising pressure and sending fault notifications, helping designers meet typical integration requirements.
• Often used in smart water meters measuring flow and detecting leaks or reverse flow events, where predictable behavior and reliability are important.