SaraKIT is a carrier board for the Raspberry Pi CM4. It is equipped with 3 microphones with sound localization function and a stereo output for implementing artificial intelligence and voice projects. Two independent BLDC drivers allow for quiet and precise motor control in mobile device projects. A CSI interface with two cameras. Two accelerometers, a gyroscope, and a temperature sensor.
Build modern, efficient and flexible voice products with Raspberry Pi, integrated with Amazon Alexa, Google Assistant, ChatGPT, etc.
Build voice-controlled robots. Interact with your home devices, office or other things in everyday life, all by voice..

• Raspberry PI CM4 compatible socket 
• Audio based on ZL38063
  
  • three mirophones SPH0655 
    • Sensitivity -37dB ±1dB @ 94dB SPL
    • SNR 66dB
  • Amplified stereo output 2x6W 4Ohm
• Two three-phase bldc drivers DRV8313 65Vmax 3A-peek
• Two Encoder input (may be reprogramed as GPIO)
• 11 GPIO( UART, I2C, PWM..)
• Two camera interfaces CSI
• Digital Accelerometer LIS3DH, 3-Axis, 2g/4g/8g/16g, 16-bit, I2C/SPI interfaces
• always-on 3D accelerometer and 3D gyroscope and temperature LSM6DS3TR 
• Embedded,programmable 16-bit microcontroller with 32KB memory dsPIC33 
• Host USB

• Smart speaker
• Intelligent voice assistant systems
• Voice recorders
• Voice conferencing system
• Meeting communicating equipment
• Voice interacting robot
• Car voice assistant
• Other scenarios need voice command
• Other scenarios requiring quiet and precise motors

(See SaraKIT Pinout site)

Hardware Logic:

The SaraKit is set of three elements:

• Raspberry Pi Compute Module 4 Carier board
• dual CSI camera flex cable 17cm (Flex)
• Raspberry Pi camera  standard CSI  connection adapter (Hub)

Carefully install the flex cable by inserting into the J1 connectors on the bottom of the SaraKit main board and into the J1 of the camera adapter.

J2 and J3 connectors are standard CSI connectors. You can connect cameras compatible with Raspberry PI