Instruction Manual for UCTRONICS models including: Uctronics, Machine, Learning, Kit, U6180
UCTRONICS Pico Machine Learing Kit, Base Board and HM01B0 QVGA Camera for Raspberry Pi Pico TensorFlow Lite Micro Examples and Electronic Learning
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DocumentDocumentUCTRONICS MACHINE LEARNING KIT Based on Raspberry Pi Pico SKU: U6180 Instruction Manual INTRODUCTION UCTRONICS Machine Learning kit is designed to offer 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. 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. SPECS Camera Module Screen Operating Voltage Breadboard Dimension HiMax HM01B0, Up to QVGA (320 x 240)@60fps 0.96 inch LCD SPI Display (160 x 80, ST7735) 5V 35x47mm, 170 points 90x70mm SCHEMATIC VIEW 01 4 x programmable buttons 02 Mini Breadboard 03 Display 04 Reset button 05 Power indicator 06 Microphone 07 Socket for HM01B0 and HM0360 camera 08 Socket for SPI camera 09 Socket for Pico 10 Pico GPIO expander 11 Reserved interface for Wifi and Bluetooth module 07 06 11 08 02 09 10 03 05 04 01 HARDWARE SETUP 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 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. NOTE: Raspberry Pi Pico and micro USB cable are not included in the kit. FIRST USE 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 HM01B0 Camera 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. NOTE: Please unplug and reconnect the micro USB cable if the screen displays nothing. Wake-word Detection 1. Open the corresponding file pico-wake-word 2. Compile the driver: cd Pico4ML_AdapterBoard/pico-wake-word mkdir build cd build cmake .. make 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. Person Detection 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: support@uctronics.com Website: www.uctronics.comAdobe PDF library 15.00 Adobe Illustrator CC 23.0 (Windows)