- Out-of-Stock
Pico Machine Learning Kit - kit with base board and HM01B0 camera for Raspberry Pi Pico
ID: 587975
A set with a base plate equipped with an LCD display, a microphone and a QVGA camera with a HM01B0 sensor. Designed for applications using machine learning and Tensorflow Lite for the Raspberry Pi Pico. ArduCAM U6180
Description
A set with a base board and a QVGA camera with a HM01B0 sensor, dedicated to the Raspberry Pi Pico. The base module is equipped with a connector with RP2040 pins and a breadboard for easy prototyping. The user also has a microphone and LCD display with a screen size of 0.96 "and a resolution of 160 x 80 px, communicating via the SPI interface. The set is designed for applications using machine learning and Tensorflow Lite for image and speech analysis. Perfect for simple applications to artificial intelligence.
Features
- HM01B0 camera
- Ultra Low Power Consumption (ULPIS) Image Sensor
- High sensitivity
- 320 x 320 active pixel resolution with QVGA window support
- Flexible 1-bit, 4-bit and 8-bit data interface
- Motion detection circuit with programmable ROI and detection threshold with digital output as an interrupt
- I2C serial interface
- Pixel size 3.6 µm x 3.6 µm
- Full image area of 1152 µm x 1152 µm
- Diagonal (optical format) 1.63 mm (1/11 inch)
- Scan mode: progressive
- 51 fps at 320 x 320, 60 fps at 320 x 240 (QVGA)
- CRA (maximum) 30º
- Power consumption: QVGA 60 fps <4 mW, QVGA 30 fps <2 mW
- LCD display 0.96 "160 x 80 px, SPI (ST7735)
- PDM microphone
- Reset button
- Breadboard 170 points
- Dimensions: 90 x 70 mm
Kit contains
- Pico Machine Learning Base Board
- HM01B0 camera
- 4 x spacer and screws
- User manual
587975
Manufacturer BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
Responsible person BTC Korporacja sp. z o. o. Lwowska 5 05-120 Legionowo Poland sprzedaz@kamami.pl 22 767 36 20
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A set with a base plate equipped with an LCD display, a microphone and a QVGA camera with a HM01B0 sensor. Designed for applications using machine learning and Tensorflow Lite for the Raspberry Pi Pico. ArduCAM U6180