SparkFun Launches Arducam Pico4ML-Powered Machine Learning and AI Concept Kit

New kit is designed to introduce core concepts while building practical projects using TensorFlow Lite and Edge Impulse Studio.

SparkFun has launched a new bundled designed to help people break into machine learning and artificial intelligence projects, using Arducam's Pico4ML Raspberry Pi RP2040-powered tinyML board as the basis.

"The Machine Learning and AI Concept Kit is a starting place for working with predictive algorithms trained from historical data and inputs," explains SparkFun's Chris McCarty. "With the Machine Learning and AI Concept Kit, you'll be offered an open-ended approach to machine learning and artificial intelligence, giving you countless options to make more project ideas come to life and enable you to process incoming data against ML-trained datasets."

The bundle is centered around Arducam's Pico4ML, a board the company launched in March last year for TensorFlow Lite projects and boasting a Raspberry Pi RP2040 microcontroller, on-board 160×80 color display, microphone with wake word detection, inertial measurement unit (IMU), and a QVGA monochrome camera module.

To the board, SparkFun has added a Digital Loggers IoT Power Relay with four outputs, offering the ability to put two normally-off and one normally-on socket under external control while providing a single always-on socket to power your controlling device. Finally, the bundle includes SparkFun's pan/tilt kit with bracket, servos, and fixings for two-axes control.

The bundle is available on the SparkFun store now, priced at $89.95 before volume discounts; to help people get started, meanwhile, the company is pointing developers towards the Edge Impulse Studio platform, which includes full Pico4ML support.

Gareth Halfacree
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin. For hire:
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