Neuton TinyML - Make Edge Devices Intelligent

Neuton TinyML Make Edge Devices Intelligent

Freemium

#tinyml
#Edge Computing
#microcontrollers
#embedded systems
#neural networks
#automl

What is Neuton TinyML?

Neuton TinyML is a revolutionary no-code Tiny AutoML platform powered by a patented Neural Network Framework. The platform offers a highly automated and transparent pipeline that requires minimal user intervention, specializing in creating extremely compact and accurate models without additional compression.

The platform's distinctive capability lies in its ability to generate incredibly small neural networks (averaging 5KB) while maintaining high accuracy. These models can be natively embedded into 8, 16, and 32-bit MCUs, making it possible to implement AI solutions even on basic microcontrollers with limited resources.

Features

Automated Model Building: Single iteration process for creating accurate and tiny models
Compact Size: Average model size of less than 5KB
Microcontroller Compatibility: Support for 8, 16, and 32-bit MCUs
No-Code Platform: User-friendly interface requiring no coding experience
Size Optimization: Up to 10x smaller models compared to alternatives
High Accuracy: Maintains performance despite compact size

Use Cases

Smart Ring Remote Control Systems
Hand Washing Tracking Solutions
Touch-free Smartwatch Interactions
Wearable Device Applications
Edge Device Intelligence
IoT Sensor Applications

FAQs

What is the average size of models created by Neuton TinyML?

The average model size is less than 5KB, making them suitable for deployment on resource-constrained devices.
What types of microcontrollers are supported?

Neuton TinyML supports 8-bit, 16-bit, and 32-bit microcontrollers (MCUs).
How many iterations are needed to build a model?

Only one iteration is needed to build an accurate, fast, and incredibly tiny model.