{"id":7880602681581,"title":"Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","handle":"arducam-pico4ml-tinyml-dev-kit-rp2040-board-w-hm01b0-camera-lcd-screen-onboard-audio-reset-button-more","description":"\u003ch1\u003eArducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026amp; More\u003c\/h1\u003e\n\u003cdiv style=\"max-width:512px;\"\u003e\u003c\/div\u003e\n\u003ch3\u003e\n\u003cspan class=\"glyphicon glyphicon-list-alt\"\u003e\u003c\/span\u003e Description\u003c\/h3\u003e\n\u003cp\u003e3 pre-trained TensorFlow Lite Micro examples are provided,\nPerson Detection, Magic Wand, and Wake-Word Detection. You can also build,\ntrain and deploy your models on it. Packing List: 1 x Arducam Pico4ML Dev\nBoard 1 x Micro USB Cable To make Raspberry Pi Pico more robust for TFLite\nMicro, the Arducam team took the Raspberry Silicon (also known as the RP2040\nchip) and created Pico4ML, a microcontroller dev board made exclusively for\nrunning and training machine learning examples. Microcontroller: Raspberry Pi\nRP2040 IMU: ICM-20948 Camera Module: HiMax HM01B0, Up to QVGA (320 x 240\n@60fps). Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735) Operating\nVoltage: 3.3V Input Voltage: 5V +\/- 10% via VBUS, Max 5.5V via VSYS Board\nSize: 2” x 0.83” （51mm x 21mm） Read more Read more 0.96 inch LCD The small TFT\ndisplay at the back of Pico4ML is a 160×80 LCD, it’s connected to the board\nthrough the SPI interface, you can do a live preview of the camera, or display\nthe results of any of the your ML models in real-time. QVGA Camera Module An\nHM01B0 camera module with ultra-low power consumption, configurable 1-bit\nvideo data serial interface with video frame and line sync, and the monochrome\nsensor make image processing easy for most machine vision applications.\nOnboard Microphone The audio chip on the Pico4ML is capable of directly\noutputting PDM (Pulse-density modulation) signals, which allows the RP2040 to\nreceive audio input, and it’s great for all the speech\/voice recognition\nmodels. Read more\u003c\/p\u003e\n\u003cp\u003eFeatures:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eArducam Pico4ML is a microcontroller dev board based on the Raspberry Silicon (RP2040 chip), exclusively for running and training machine learning examples.\u003c\/li\u003e\n\u003cli\u003ePico4ML is incorporated with a camera, microphone, IMU and display to help you get started with TensorFlow Lite Micro, which has been ported to the RP2040.\u003c\/li\u003e\n\u003cli\u003eIMU: ICM-20948; Camera Module: HiMax HM01B0, Up to QVGA (320 x 240 @60fps); Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)\u003c\/li\u003e\n\u003cli\u003eOperating Voltage: 3.3V; Input Voltage: 5V +\/- 10% via VBUS, Max 5.5V via VSYS; Board Size: 2 x 0.83 (51mm x 21mm)\u003c\/li\u003e\n\u003cli\u003eWe provide 3 pre-trained TensorFlow Lite Micro examples, Person Detection, Magic Wand, and Wake-Word Detection. You can also build, train and deploy your models on it.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n","published_at":"2022-08-11T15:48:41+10:00","created_at":"2022-08-11T15:48:47+10:00","vendor":"Arducam","type":"Single Board Computers","tags":["electronics"],"price":15100,"price_min":15100,"price_max":15100,"available":true,"price_varies":false,"compare_at_price":null,"compare_at_price_min":0,"compare_at_price_max":0,"compare_at_price_varies":false,"variants":[{"id":43107877781741,"title":"Default Title","option1":"Default Title","option2":null,"option3":null,"sku":"B0919KQ7NV","requires_shipping":true,"taxable":true,"featured_image":null,"available":true,"name":"Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","public_title":null,"options":["Default Title"],"price":15100,"weight":30,"compare_at_price":null,"inventory_management":null,"barcode":"B0302","requires_selling_plan":false,"selling_plan_allocations":[]}],"images":["\/\/leoforward.com\/cdn\/shop\/products\/61AFWNaznBL.jpg?v=1660196927","\/\/leoforward.com\/cdn\/shop\/products\/71NrShQb04L.jpg?v=1660196927","\/\/leoforward.com\/cdn\/shop\/products\/61go_qBJv2L.jpg?v=1660196927","\/\/leoforward.com\/cdn\/shop\/products\/618KfBjsE9L.jpg?v=1660196927","\/\/leoforward.com\/cdn\/shop\/products\/61sjbzXEqQL.jpg?v=1660196927","\/\/leoforward.com\/cdn\/shop\/products\/71lIOrggs7L.jpg?v=1660196927"],"featured_image":"\/\/leoforward.com\/cdn\/shop\/products\/61AFWNaznBL.jpg?v=1660196927","options":["Title"],"media":[{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30218999988461,"position":1,"preview_image":{"aspect_ratio":1.0,"height":1501,"width":1501,"src":"\/\/leoforward.com\/cdn\/shop\/products\/61AFWNaznBL.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1501,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/61AFWNaznBL.jpg?v=1660196927","width":1501},{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30219000021229,"position":2,"preview_image":{"aspect_ratio":1.0,"height":1501,"width":1501,"src":"\/\/leoforward.com\/cdn\/shop\/products\/71NrShQb04L.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1501,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/71NrShQb04L.jpg?v=1660196927","width":1501},{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30219000053997,"position":3,"preview_image":{"aspect_ratio":1.0,"height":1501,"width":1501,"src":"\/\/leoforward.com\/cdn\/shop\/products\/61go_qBJv2L.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1501,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/61go_qBJv2L.jpg?v=1660196927","width":1501},{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30219000086765,"position":4,"preview_image":{"aspect_ratio":1.0,"height":1501,"width":1501,"src":"\/\/leoforward.com\/cdn\/shop\/products\/618KfBjsE9L.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1501,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/618KfBjsE9L.jpg?v=1660196927","width":1501},{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30219000119533,"position":5,"preview_image":{"aspect_ratio":1.0,"height":1336,"width":1336,"src":"\/\/leoforward.com\/cdn\/shop\/products\/61sjbzXEqQL.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1336,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/61sjbzXEqQL.jpg?v=1660196927","width":1336},{"alt":" [AUSTRALIA] - Arducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026 More","id":30219000152301,"position":6,"preview_image":{"aspect_ratio":1.0,"height":1501,"width":1501,"src":"\/\/leoforward.com\/cdn\/shop\/products\/71lIOrggs7L.jpg?v=1660196927"},"aspect_ratio":1.0,"height":1501,"media_type":"image","src":"\/\/leoforward.com\/cdn\/shop\/products\/71lIOrggs7L.jpg?v=1660196927","width":1501}],"requires_selling_plan":false,"selling_plan_groups":[],"content":"\u003ch1\u003eArducam Pico4ML TinyML Dev Kit, RP2040 Board w, HM01B0 Camera, LCD Screen, Onboard Audio, Reset Button \u0026amp; More\u003c\/h1\u003e\n\u003cdiv style=\"max-width:512px;\"\u003e\u003c\/div\u003e\n\u003ch3\u003e\n\u003cspan class=\"glyphicon glyphicon-list-alt\"\u003e\u003c\/span\u003e Description\u003c\/h3\u003e\n\u003cp\u003e3 pre-trained TensorFlow Lite Micro examples are provided,\nPerson Detection, Magic Wand, and Wake-Word Detection. You can also build,\ntrain and deploy your models on it. Packing List: 1 x Arducam Pico4ML Dev\nBoard 1 x Micro USB Cable To make Raspberry Pi Pico more robust for TFLite\nMicro, the Arducam team took the Raspberry Silicon (also known as the RP2040\nchip) and created Pico4ML, a microcontroller dev board made exclusively for\nrunning and training machine learning examples. Microcontroller: Raspberry Pi\nRP2040 IMU: ICM-20948 Camera Module: HiMax HM01B0, Up to QVGA (320 x 240\n@60fps). Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735) Operating\nVoltage: 3.3V Input Voltage: 5V +\/- 10% via VBUS, Max 5.5V via VSYS Board\nSize: 2” x 0.83” （51mm x 21mm） Read more Read more 0.96 inch LCD The small TFT\ndisplay at the back of Pico4ML is a 160×80 LCD, it’s connected to the board\nthrough the SPI interface, you can do a live preview of the camera, or display\nthe results of any of the your ML models in real-time. QVGA Camera Module An\nHM01B0 camera module with ultra-low power consumption, configurable 1-bit\nvideo data serial interface with video frame and line sync, and the monochrome\nsensor make image processing easy for most machine vision applications.\nOnboard Microphone The audio chip on the Pico4ML is capable of directly\noutputting PDM (Pulse-density modulation) signals, which allows the RP2040 to\nreceive audio input, and it’s great for all the speech\/voice recognition\nmodels. Read more\u003c\/p\u003e\n\u003cp\u003eFeatures:\u003c\/p\u003e\n\u003cul\u003e\n\u003cli\u003eArducam Pico4ML is a microcontroller dev board based on the Raspberry Silicon (RP2040 chip), exclusively for running and training machine learning examples.\u003c\/li\u003e\n\u003cli\u003ePico4ML is incorporated with a camera, microphone, IMU and display to help you get started with TensorFlow Lite Micro, which has been ported to the RP2040.\u003c\/li\u003e\n\u003cli\u003eIMU: ICM-20948; Camera Module: HiMax HM01B0, Up to QVGA (320 x 240 @60fps); Screen: 0.96 inch LCD SPI Display (160 x 80, ST7735)\u003c\/li\u003e\n\u003cli\u003eOperating Voltage: 3.3V; Input Voltage: 5V +\/- 10% via VBUS, Max 5.5V via VSYS; Board Size: 2 x 0.83 (51mm x 21mm)\u003c\/li\u003e\n\u003cli\u003eWe provide 3 pre-trained TensorFlow Lite Micro examples, Person Detection, Magic Wand, and Wake-Word Detection. You can also build, train and deploy your models on it.\u003c\/li\u003e\n\u003c\/ul\u003e\n\n"}