- Arduino Nano 33 BLE Sense board
- OV7675 Camera
- Arduino Tiny Machine Learning Shield
- USB A to Micro USB Cable

• HARDWARE Setup Instructions
  • If you are using the TinyML Shield
    • Slot the Nano 33 BLE Sense board into the Tiny Machine Learning Shield.
      • 
      • 
    • Slot the OV7675 camera module into the shield using the same technique.
      • 
      • 
    • Finally, use the provided USB cable (type-A to microB) to connect the Nano 33 BLE Sense development board to your machine.
      • 
  • Wiring Up Individual Parts
    • Slot the Nano 33 BLE Sense board into a solderless breadboard.
      • 
    • Attach a few headers to OV7675 camera.
      • 
    • Below we’ve mapped these OV7675 module pin numbers onto a fritzing (wiring) diagram for the Arduino Nano 33 BLE sense (assuming it is placed into a breadboard):
      • 
    • Below is the general pinout for Arduino IDE
      • 

    • Pins should be connected as follows

    • Table of Pins Connections

• Final Layout
  • 

Driver and Libraries Installation for Arduino Setup

• Install Dependencies

  sudo apt-get update -y 
  sudo apt-get upgrade -y 
  sudo apt-get install -y wget
  sudo apt-get install -y tar
  sudo apt-get install -y curl
  

• Download IDE and setup environemnt variables

  CURR_DIR=$(pwd)
  INSTALL_DIR=${HOME}
  ARDUINO_VERSION=1.8.10
  wget -N https://downloads.arduino.cc/arduino-$ARDUINO_VERSION-linuxaarch64.tar.xz --no-check-certificate
  tar -C $INSTALL_DIR/ -xvf arduino-${ARDUINO_VERSION}-linuxaarch64.tar.xz
  cd $INSTALL_DIR/arduino-${ARDUINO_VERSION}
  sudo ./install.sh
  ./arduino-linux-setup.sh "$USER"
  echo "You can delete the tar file if desired: arduino-"${ARDUINO_VERSION}"-linuxaarch64.tar.xz"
  

• A REBOOT WOULD BE NEEDED AFTER THIS STEP

• Download Arduino CLI

  CURR_DIR=$(pwd)
  INSTALL_DIR=${HOME}
  ARDUINO_VERSION=1.8.10
  cd $INSTALL_DIR
  curl -fsSL https://raw.githubusercontent.com/arduino/arduino-cli/master/install.sh | BINDIR=. sh
  sudo chmod +x arduino-cli
  

• Attach Camera, Shield to Arduino IDE

• Setup Camera to talk to Arduino and attach the TinyML Shield to Jetson Nano ``` CURR_DIR=$(pwd) INSTALL_DIR=${HOME} ARDUINO_VERSION=1.8.10 cd $INSTALL_DIR PORT=”/dev/ttyACM0” BOARD_NAME=”Arduino Nano 33 BLE” FQBN=”arduino:mbed:nano33ble” ARDUINO_CORE=”arduino:mbed”

./arduino-cli core install ${ARDUINO_CORE}

./arduino-cli config init

./arduino-cli config set library.enable_unsafe_install true

./arduino-cli lib install “Arduino_TensorFlowLite@2.4.0-ALPHA”

./arduino-cli lib install –git-url “https://github.com/arpit6232/arduino-library.git”

./arduino-cli lib install “Arduino_LSM9DS1@1.1.0”

./arduino-cli lib install “ArduinoBLE@1.2.0”

TEST_CAMERA_DIR=”${INSTALL_DIR}/Arduino/libraries/arduino-library/examples/test_camera”

./arduino-cli compile -b ${FQBN} ${TEST_CAMERA_DIR} -v

sudo ./arduino-cli upload -b ${FQBN} -p ${PORT} ${TEST_CAMERA_DIR} -v

sudo ./arduino-cli board attach serial:///dev/ttyACM0 ${TEST_CAMERA_DIR}

TEST_CAMERA_DIR=”${INSTALL_DIR}/Arduino/libraries/arduino-library/examples/test_camera”

- Check to see if the Camera is working by testing output over ```/dev/ttyACM0```

sudo stty -F /dev/ttyACM0 raw 115200 cat /dev/ttyACM0 > raw_points.txt ```