Artificial Intelligence (AI) is transforming every aspect of life. Artificial Intelligence of Things (AIoT) is a transformational megatrend driven by four underlying market dynamics which include technology convergence, decentralized intelligence, a new design mindset, and an explosion of data.
Technology Convergence
IoT, AI, 5G maturing roughly at the same time
Decentralized Intelligence
Tremendous benefits of a distributed intelligence model
New Design Mindset
AI disrupting system design approaches
Data Explosion
Endpoint data creation to grow at 85% (2017-2025)*
*Source: IDC Research
Traditionally, the IoT has been built on a cloud-centric intelligence architecture. To truly scale and enable intelligence at all levels of the network, a decentralized intelligence architecture is needed. This means running cloud-independent inference engines on power-efficient or tiny computers within the edge and endpoints. A decentralized intelligence model has tremendous technical and economic benefits as shown below.
IoT systems can be thought of as an interplay of one or more core technologies shown in the diagram below. AI and Machine Learning (ML) can be viewed as an enabler that bridges underlying technologies and applications. The use of AI can be classified broadly into three categories – Voice which deals with spoken voice and linguistics, Vision which deals with cameras, machine vision and robot vision and, finally, Real-Time Analytics which deals with mostly sensor data and time-series data that is captured from sensors.
Renesas offers a comprehensive solution stack for AI/ML developers. A broad product portfolio spanning across sensing, connectivity, computing, and actuation covers all layers of the IoT. In addition, software, tools, solutions, and a partner ecosystem that has been purpose-built to accelerate your AIoT designs.
Renesas Ready Partner Network
Partner Ecosystem
RA Arm® Cortex®-M MCUs
RX 32-Bit Performance / Efficiency MCUs
RL78 Low Power 8 & 16-bit MCUs
RZ 32 & 64-bit MPUs
AI/ML Software
Real-time Analytics
Voice
Embedded Software
Tools
Hardware Portfolio
AI at the Core
AI at the Edge
AI at the Endpoint
MPU/MCU
Power
Connectivity
AMS and CMIC
Environmental Sensors
Generate and build TinyML/Edge AI models based on advanced signal processing.
AI-enabled solution to detect anomalies and faults and predict operating conditions in smart HVAC systems.
Enable conditional monitoring and predictive maintenance functionality without relying on additional sensors.
See how to use the scalable Renesas AI Kits to evaluate and test the application examples and develop your own solutions using Reality AI Tools or other available ecosystem and AI/ML software.
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Blog Post | Apr 25, 2022 |
Title | Resource Type | Associated Product(s) |
---|---|---|
Anomaly Detection with RealityCheck AD | Software | RA, RZ |
Automotive Safety Warning System (SWS) | Software | RCAR |
RealityCheck™ HVAC Solutions Suite | Software | RA |
RealityCheck™ Motor Add-on Toolbox | Software | RAxTx, RXxxT |
Title | Resource Type | Associated Product(s) |
---|---|---|
Glass Break Detection from AIZip | Application Project | RA4, RA6 |
Person Access System (PAS) from AIZip | Application Project | RA6 |
Voice User Interface Reference Kit | Hardware | RA2, RA4, RA6 |
Local Voice Trigger and Command Recognition from Cyberon Cspotter | Software | RA2 |
Local Voice Trigger and Command Recognition with Noise Reduction from Cyberon Dspotter | Software | RA4, RA6 |