Analog Devices: MAX78000 AI Development Platforms

Explore MAX78000-based AI platforms for low-power edge computing. Includes MAXREFDES178#, MAX78000EVKIT#, and MAX78000FTHR development boards.

Analog Devices' MAX78000 AI Development Platforms are built around the cutting-edge MAX78000 ultra-low-power AI microcontroller to keep you at the forefront of this revolution. These platforms are engineered to bring high-performance AI capabilities directly to edge devices without relying on cloud processing. This enables instant, real-time decision making with drastically reduced latency, bandwidth, and power consumption. Whether you're building a facial recognition security system, designing intelligent sensors for industrial automation, or prototyping the next generation of AI-powered IoT devices, the MAX78000 platform delivers the power, flexibility, and tools to help you succeed. With a unique, hardware-based convolutional neural network (CNN) accelerator integrated into the chip, developers can run complex neural networks at a fraction of the power and compute load traditionally required. This makes it possible to deploy models that detect faces, recognize voices, analyze gestures, or interpret images - all on a coin-cell or battery-powered device.

Analog Devices offers a range of development boards based on this platform, each tailored to specific stages of product design:

The MAXREFDES178# is a ready-to-use face recognition reference design that showcases the potential of the MAX78000 in a real-world application.
The MAX78000EVKIT# provides a full-featured development environment for testing, debugging, and developing AI-based firmware and applications.
The MAX78000FTHR offers a compact, feather-compatible board designed for space-constrained or portable embedded AI projects.

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Why Choose MAX78000 AI Development Platforms?

Ultra-Low Power AI Inference: Hardware CNN engine dramatically reduces power consumption compared to traditional MCUs running AI models in software.
Edge Intelligence Eliminate the need for cloud processing for applications like image classification and keyword spotting.
Rapid Prototyping: Pre-trained models, reference designs, and development tools accelerate your time-to-market.
Flexible Development Options: Choose the platform that fits your application: full-featured (EVKIT), compact (FTHR), or ready-to-run demo (REFDES)

From concept to deployment, the MAX78000 development ecosystem supports your entire journey with open-source software, pretrained models, model conversion tools, and a robust SDK - making AI at the edge not just possible, but practical.

Development Platforms Options

MAXREFDES178#: Face Recognition Reference Design

A complete face recognition application with a camera and display.
Designed for low-power, always-on facial identification.
Comes pre-trained with models and can be customized via Edge AI tools.

MAX78000EVKIT#: Evaluation Kit

Full-featured development board for evaluating all MAX78000 functions.
Ideal for prototyping complex AI/ML applications.
Includes audio codec, camera input, USB interface, and debug support.

MAX78000FTHR: Feather Form-Factor Board

Compact, low-power development board in Adafruit Feather-compatible layout.
Perfect for embedded and IoT applications requiring AI capabilities in a small footprint.
Supports USB, GPIOs, camera input, and battery-powered operation.

Key Platforms Comparison

Feature	MAXREFDES178#	MAX78000EVKIT#	MAX78000FTHR
Processor	MAX78000 w/ Arm Cortex-M4 + CNN	MAX78000 w/ Arm Cortex-M4 + CNN	MAX78000 w/ Arm Cortex-M4 + CNN
Neural Network Acceleration	Yes (CNN Hardware Accelerator)	Yes	Yes
Memory	512KB SRAM, 1MB Flash	512KB SRAM, 1MB Flash	512KB SRAM, 1MB Flash
Connectivity	USB, UART, SPI, I2C	USB, UART, SPI, I2C, GPIO	USB, UART, I2C, GPIO
Camera Support	VGA Camera (included)	MIPI Camera Connector	8-bit Parallel Camera Connector
Display	2.4" TFT LCD	External (via headers)	No onboard display
Form Factor	Compact enclosure for demo use	Full development board	Feather-compatible
Power Supply	USB-powered	USB-powered / Battery	USB / Li-Po Battery
Target Use Case	Face Recognition / Edge Vision	General AI/ML Development	Embedded AI / IoT Edge