Machine Learning and AI Concept Kit

The Machine Learning and AI Concept Kit is an excellent starting point for those interested in exploring predictive algorithms, artificial intelligence, and machine learning. This kit allows you to bring your ideas to life, utilizing artificial intelligence to learn from the data you provide. It offers an open-ended approach to machine learning and artificial intelligence, providing you with a range of possibilities to create unique projects using the provided peripherals.

The heart of this kit is the Pico4ML TinyML Dev Kit from Arducam, a single board system powered by the RP2040 microcontroller from Raspberry Pi. This board is capable of running TensorFlow Lite for Microcontrollers, a compact machine learning software. It comes with a QVGA camera module that features ultra-low power consumption, a configurable 1-bit video data serial interface with frame and line sync, and a monochrome sensor that simplifies image processing for most machine vision applications.

The Pico4ML's audio chip can directly output PDM (Pulse-density modulation) signals, allowing the RP2040 to receive audio input. It also includes a built-in motion tracking feature with a 2.5mW low-power 9-axis IMU. In addition, there's a small TFT display at the back of the Pico4ML, a 160×80 LCD connected to the board via the SPI interface. This display enables you to get a live preview of the camera or display the results of your ML models in real-time.

Also included in the kit is an IoT Power Relay. This controllable power relay comes with four outputs that allow you to create an Internet of Things project with safe and reliable power control. It can control the power going to a device with an Arduino, Raspberry Pi or other single-board computers or microcontrollers. It operates at 3--48VDC or 12--120VAC, and each IoT Power Relay features a single input to four outputs: one normally on, one always on, and two normally off. The durable SPDT control relay is rated at 30/40A, designed for 400,000 operations.

The kit also comes with a pan/tilt bracket. This easy-to-assemble bracket uses servos to move on two axes, making it ideal for camera and helping-hand applications.

Kit Contents:

• 1x Arducam Pico4ML TinyML Dev Kit
• 1x IoT Power Relay
• 1x Pan/Tilt Bracket Kit

Supporting Documents:

• Continuous Motion Recognition
• How to Use Edge Impulse to train ML
• Tensorflow Lite Micro GitHub

Arducam

• Pico4ML User Manual
• Pico & Pico4ML Arducam Examples
• Schematic
• SPI Camera Driver for Pico
• Board 3D Model
• Enclosure 3D Model

IoT Power Relay

• Datasheet
• FAQ

Pan/Tilt Bracket Kit

• Assembly Guide