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Arducam Pico4ML TinyML Dev Kit: RP2040 Board w/ QVGA Camera, LCD Screen, Onboard Audio, Reset Button & More

Brand: Arducam

Features


₹3,364 (Incl. of all taxes)

₹2,758.48

+ ₹605.52 GST
₹5,672 41% Off
Stock: Available
Quantity:

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About this item

The Arducam Pico4ML TinyML Development Kit is an all-in-one compact platform designed for machine learning and AI applications at the edge. Built around the powerful dual-core RP2040 microcontroller, this dev kit includes a QVGA (320×240) color camera module, a vibrant LCD screen for immediate visual feedback, onboard audio output, and a reset button for quick system restarts. Ideal for TinyML enthusiasts, developers, and educators, the kit supports real-time image recognition, classification, and simple AI tasks directly on the microcontroller without needing external processing. The integrated QVGA camera enables low-resolution imaging ideal for lightweight neural network inference, while the LCD screen provides a convenient way to display images, results, and UI elements during development. The board includes multiple interfaces such as SPI, I2C, and GPIOs, facilitating expansion and sensor integration. Its small footprint and integrated components make it perfect for prototyping smart cameras, visual sensors, or interactive embedded projects where space and power efficiency are key. Designed with ease of use in mind, the Pico4ML kit supports popular programming environments like MicroPython and C/C++, enabling quick development cycles. This development kit empowers users to explore TinyML applications with a ready-made, feature-rich hardware platform.

Specifications

Microcontroller Dual-core RP2040 running up to 133 MHz
Camera QVGA (320×240) color camera module
Display Integrated LCD screen (color, approx. 1.3 inches)
Audio Onboard audio output (speaker or headphone support)
Buttons Reset button included for easy system restart
Interfaces SPI, I2C, GPIO pins for expansion
Memory 264 KB SRAM onboard, external flash supported
Power USB powered, low power consumption for edge AI tasks

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