{"product_id":"sparkfun-arducam-pico4ml-tinyml-dev-kit","title":"SparkFun Arducam Pico4ML TinyML Dev Kit","description":"\u003cp\u003eThe Pico4ML TinyML Dev Kit from Arducam is a single board system powered by Raspberry Pi's RP2040 microcontroller. It has the power to run all Tensorflow Lite Micro tiny machine learning examples. The board features a QVGA camera module with ultra-low power consumption, configurable 1-bit video data serial interface with video frame and line sync, and the monochrome sensor makes image processing an easy part for most machine vision applications.\u003c\/p\u003e \u003cp\u003eThe audio chip on the Pico4ML is capable of directly outputting PDM (Pulse-density modulation) signals, this integration allows the RP2040 to receive audio input. Motion tracking is also a built-in feature with a 2.5 mW low-power 9-axis IMU.\u003c\/p\u003e \u003cp\u003eThe small TFT display at the back of Pico4ML is a 160��80 LCD, it�s connected to the board through the SPI interface, you can do a live preview of the camera, or display the results of any of the your ML models in real-time.\u003c\/p\u003e \u003cp\u003eThe Arducam Pico4ML is completely open-source, all its codes, design files, and schematics will be made available for anyone to use, rebuild or modify.\u003c\/p\u003e \u003cp\u003e\u003cstrong\u003eFeatures:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003eRaspberry Pi RP2040 Microcontroller\u003c\/li\u003e \u003cli\u003eICM-20948 Inertial Measurement Unit (low power)\u003c\/li\u003e \u003cli\u003eMono channel microphone w\/ direct PCM output\u003c\/li\u003e \u003cli\u003eButtons: \u003cul\u003e \u003cli\u003eReset\u003c\/li\u003e \u003cli\u003eBoot\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003eCamera Module: HiMax HM01B0, Up to QVGA (320 x 240)\u003c\/li\u003e \u003cli\u003eScreen: 0.96 inch LCD SPI Display (160 x 80, ST7735)\u003c\/li\u003e \u003cli\u003eOperating Voltage: 3.3V\u003c\/li\u003e \u003cli\u003eCurrent Draw \u003cul\u003e \u003cli\u003e(standby): 40mA\u003c\/li\u003e \u003cli\u003e(running ML models): 60mA\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003eInput Voltage: \u003cul\u003e \u003cli\u003eVBUS: 5V +\/- 10%.\u003c\/li\u003e \u003cli\u003eVSYS Max :5.5V\u003c\/li\u003e \u003c\/ul\u003e\n\u003c\/li\u003e \u003cli\u003eDimensions: 51 mm x 21 mm\u003c\/li\u003e \u003c\/ul\u003e \u003cp\u003e\u003cstrong\u003eDocuments:\u003c\/strong\u003e\u003c\/p\u003e \u003cul\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/b0302_pico4ml_user_manual.pdf\"\u003ePico4ML User Manual\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/github.com\/ArduCAM\/RPI-Pico-Cam\"\u003ePico \u0026amp; Pico4ML Arducam Examples\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/Arducam-Pico4ML-board-Shematics-UC-798_SCH.pdf\"\u003eSchematic\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/github.com\/ArduCAM\/PICO_SPI_CAM\"\u003eSPI Camera Driver for Pico\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/UC-798-pico4ml-design-file.step\"\u003eBoard 3D Model\u003c\/a\u003e\u003c\/li\u003e \u003cli\u003e\u003ca href=\"https:\/\/www.arducam.com\/downloads\/pico4ml-enclosure-design-file.stp\"\u003eEnclosure 3D Model\u003c\/a\u003e\u003c\/li\u003e \u003c\/ul\u003e","brand":"sparkfun-10","offers":[{"title":"Default Title","offer_id":40054673277013,"sku":"18439:DEV-18439:spark","price":4550.0,"currency_code":"INR","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1034\/1611\/products\/18439-Arducam_Pico4ML_TinyML_Dev_Kit-a01.jpg?v=1651340713","url":"https:\/\/www.tanotis.com\/products\/sparkfun-arducam-pico4ml-tinyml-dev-kit","provider":"Tanotis","version":"1.0","type":"link"}