SIPEED M1 DOCK 2.4 INCH TFT OV2640 K210

Highlights:

• Development board featuring a RISC-V 64-bit dual-core processor.
• Designed for AI and IoT applications.
• Neural network processor for machine learning and AI tasks.

Highlights :

• Small-scale projects
• Beginners in electronics
• Easy programming and debugging via USB
• Coding with the Arduino IDE
• Flexible power options (USB or external power source)
• Utilizing 6 versatile I/O pins for digital I/O, analog inputs, or PWM outputs

Highlights:

• Real-time monitoring of voltage, current, power, and energy.
• High accuracy with a measurement range up to 100A AC.
• Compact design, ideal for DIY and professional applications.
• Easy communication with microcontrollers via TTL serial interface.
• Low power consumption and high reliability.
• Supports bidirectional energy flow measurement.

Highlights :

• Micro USB Interface
• ATmega32U4 Microcontroller
• 20 Digital I/O Pins
• 16 MHz Crystal Oscillator
• Compact Size
• Versatile Use

Highlights :

• ZHT102 7A AC/DC Current Sensor Module for precise current measurement.
• Supports both AC and DC current up to 7A.
• Ideal for power monitoring and energy management applications.

Highlights :

• High-quality EKG/EMG shield for Arduino and other microcontrollers.
• Ideal for measuring and analyzing bioelectrical signals like heartbeats and muscle activity.
• Compact, reliable, and perfect for medical or fitness-related projects.