Uctronics U6180 User manual

UCTRONICS MACHINE LEARNING KIT
Based on Raspberry Pi Pico
Instruction Manual
SKU: U6180
INTRODUCTION
SCHEMATIC VIEW
HARDWARE SETUP
SPECS
UCTRONICS Machine Learning kit is designed to oer a compact hardware base for more
possibilities of the Raspberry Pi Pico. The on-board mini breadboard and expanded available
GPIO pins get you started in learning the electronics and circuits easily. More importantly, the
kit packs a camera, a display, microphone to help you run the examples of Tensorflow Lite
Micro tiny machine learning, which has been ported to the RP2040.
1. Align and insert the Pico header into the socket.
2. Align and insert the HM01B0 camera header into the socket, keep the camera outwards.
3. Plug the USB end of the Micro USB cable to the computer, then press and hold the
This manual includes how to set up the camera and run the 2 pre-trained TensorFlow Lite Micro
examples, Person Detection and Wake-Word Detection. You can also build, train and deploy
your models on it.
Camera Module HiMax HM01B0, Up to QVGA (320 x 240)@60fps
0.96 inch LCD SPI Display (160 x 80, ST7735)
5V
Screen
Operating Voltage
Breadboard
Dimension
35x47mm, 170 points
90x70mm
01
03
02
11
06
0405
07
08
09 10
4 x programmable buttons
Display
Power indicator
Socket for Pico
Socket for HM01B0 and HM0360 camera
Reserved interface for Wifi and Bluetooth module
Mini Breadboard
Reset button
Microphone
Socket for SPI camera
Pico GPIO expander
01
03
05
07
09
11
02
04
06
08
10

FIRST USE
BOOTSEL button on your Pico and connect the Micro USB end to the port on your Pico, the
power indicator and the backlight of the display will come up.
4. Release the button after connection. A disk volume should pop up on your computer. That
is your Raspberry Pi Pico.
1. Open the corresponding file HM01B0
2. Compile the driver:
cd Pico4ML_AdapterBoard/HM01B0
mkdir build
cd build
cmake ..
make
3. A file named main.uf2 will be generated in the build file under HM01B0, then drag and
drop the uf2 file to your Pico. The volume will automatically unmount and the screen should
display the imaging of the camera.
1. Open the corresponding file pico-wake-word
2. Compile the driver:
cd Pico4ML_AdapterBoard/pico-wake-word
mkdir build
cd build
cmake ..
make
Go to the page https://github.com/ArduCAM/Pico4ML_AdapterBoard and press the
code button to download the driver to the Raspberry Pi or laptop, you can also gitclone
https://github.com/ArduCAM/Pico4ML_AdapterBoard.git
NOTE: Raspberry Pi Pico and micro USB cable are not included in the kit.
NOTE: Please unplug and reconnect the micro USB cable if the screen displays nothing.
HM01B0 Camera
1. Open the corresponding file tflmicro
2. Compile the driver:
cd Pico4ML_AdapterBoard/tflmicro
mkdir build
cd build
cmake ..
make
3. A file named person_detection_screen_int8.uf2 will be generated under the path
tflmicro/build/examples/person_detection_screen, then drag and drop the uf2 file to your
Pico.
4. Hold your Pio to capture images. The screen will display the image and the probabilities
of the presence of a person.
The driver also includes the examples for other cameras, please contact us for more
information if you are interested.
CONTACT US
Email: [email protected]
Website: www.uctronics.com
Person Detection
Wake-word Detection
3. A file named pico_micro_speech_pdm.uf2 will be generated in the build file under
pico-wake-word, then drag and drop the uf2 file to your Pico.
4. Hold your Pico closer and say “yes” or “no”. The screen will display the corresponding
word.