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System Overview

The AITRIOS's Platform

The AITRIOS's platform streamlines edge AI implementation without requiring specialized expertise across multiple domains.

The platform's key strength lies in its "mix and match" capability, allowing integration of services and applications from Sony, third party products, and custom-built solutions, supporting both cloud-native and on-premise options.

This significantly reduces development time, technical risk, and resource requirements while accelerating time-to-market for Edge AI solutions.

AITRIOS System overview diagram

Edge Device

Capture, inference, and application logic

Raspberry Pi AI Camera product image
Sony AIH-IVRW2 product image
Rayprus CSV26 product image

Raspberry Pi AI Camera

Sony AIH-IVRW2

Rayprus CSV26

Edge devices form the distributed intelligence network of the AITRIOS's ecosystem, capturing visual data and performing AI inference directly at the source, minimizing latency and bandwidth requirements.

AITRIOS's devices based on the groundbreaking IMX500 Intelligent Vision sensor feature a stacked sensor structure combining a CMOS sensor with a powerful DSP and dedicated on-chip SRAM to enable high-speed edge AI processing without needing a round trip to a server. This can reduce infrastructure costs, enhance efficiency, and accelerate edge AI deployment.

Core capabilities and advantages

Image sensors

High-quality image capture components optimized for AI processing

Inference engine

On-device AI processing capabilities that run models locally

Connectivity options

Multiple communication protocols (Wi-Fi, Ethernet) for flexible deployment

High efficiency system

A system designed to optimize bandwidth requirements and minimize power needs by leveraging the capabilities of the IMX500

Security features

Built-in mechanisms to protect data and prevent unauthorized access

Address privacy concerns

Help address personal data concerns effectively

*Outputting the processed image metadata only; the image data never leaves the chip, if you don't want it to


Console

Device management

AITRIOS Console screenshots

Console is a central management hub of the platform, providing a unified interface to control all aspects of edge AI deployment, from device provisioning to application management.

Console can be hosted in the cloud or installed on a local machine.

The Console API allows device management and monitoring directly from other applications.

Edge AI management features

Device management

Tools for registering, monitoring, and managing edge devices at scale

Application deployment

Streamlined workflows for deploying AI models and applications to edge devices

Fleet management

Capabilities for organizing devices into logical groups and applying configurations at scale

Version control

Systems to manage and track versions of deployed models and applications

Configuration

Tools to adjust device settings and parameters without physical access

Conversion Service

AI preparation

The Conversion Service bridges the gap between standard AI development frameworks and edge deployment, ensuring models are compiled for the specific edge devices.

Conversion Service can be accessed in the cloud through Console or installed on a local machine.

Conversion features

Model compilation

Compile your AI models to run on AITRIOS's edge devices

Packager

Package your model for specific edge device hardware, with support to produce encrypted or unencrypted packages


AI Services

Data preparation and retraining

AITRIOS Studio screenshots with available templates
Local Studio screenshots

AI Tools from Sony and other suppliers in the AITRIOS's marketplace provide comprehensive capabilities for the entire AI model lifecycle, from initial data preparation to continuous model improvement through retraining.

For example, Brain Builder for AITRIOS and Studio Templates let you create and export customized AI models - with no coding required.

AI development lifecycle tools

Data collection

Tools to gather and organize training data from multiple sources

Annotation workspace

Interfaces for efficient labeling and annotation of training data

Model selection

Library of pre-trained models and architectures optimized for edge deployment

Training pipeline

Automated workflows for model training with configurable parameters

Performance evaluation

Tools to assess model accuracy, precision, and computational efficiency

Continuous learning

Systems for iterative model improvement based on real-world performance data


Solution App

Insights and actions

AITRIOS provides sample solution apps to demonstrate how versatile applications can collect and transform the inference data, and then combine visualization, alert functions, and system integrations to create comprehensive business solutions. You can tailor solution apps to your own specific operational needs, with nearly infinite integration possibilities.

Solution app diagrams

The capstone of your implementation, your solution app is often customized for your own application, and can be very highly specialized.

The solution app can collect and transform the inference data from AITRIOS into actionable intelligence that drives business decisions and operational improvements.

AITRIOS offers sample apps and their source code to get started with.

Solution app capabilities

API integration

Robust APIs allow seamless connection with existing business systems and third-party applications for storage, analysis, and reporting

Data analytics

Apply advanced analytics to identify trends and patterns across collected inference data

Dashboards

Use data visualization libraries, or build custom web apps or mobile apps

Alert management

Implement notification systems for critical events identified by edge AI processing

Workflow automation

Create tools to automate responses to specific AI detections or patterns