Pico Machine Learning Kit - kit with base board and HM01B0 camera for Raspberry Pi Pico

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