Enabling intelligence from the cloud to the edge and endpoint sustainably

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.

Optional Add-ons

Technology Convergence

IoT, AI, 5G maturing roughly at the same time

Decentralized Intelligence

Decentralized Intelligence

Tremendous benefits of a distributed intelligence model

TinyML

New Design Mindset

AI disrupting system design approaches

Data Analytics

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.

Why decentralize intelligence?

Real-Time Response
  • Minimize latency by transforming data at the source
  • Optimize processing for time-critical applications
Security & Data Privacy
  • Minimize security concerns related to the transfer and flow of data
  • On-device data handling tightly coupled to hardware root-of-trust
Network Agility
  • Maximizing data gravity by operating on data at the source
  • Reduced data transport improves power and cost efficiencies

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.

Artificial intelligence and machine learning enable underlying technology

 

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 Ready

RA Arm® Cortex®-M MCUs

RX Ready

RX 32-Bit Performance / Efficiency MCUs

RL78 Ready

RL78 Low Power 8 & 16-bit MCUs

RZ Ready

RZ 32 & 64-bit MPUs

Application Support

Solution Suite

Toolbox

Application Example

Reference Design

AI/ML Software

Real-time Analytics

Reality AI Tools
Reality AI Toolboxes

Vision

e-AI Translator
DRP-AI Translator
DRP-AI TVM

Voice

Cyberon Dspotter

Embedded Software

Packages

Flexible Software Package (MCU)
Firmware Integration Technology (MCU)
CIP Linux (MPU)

Tools

e2 studio

Hardware Portfolio

AI at the Core

Timing
Power
Memory Interface

AI at the Edge

MPU
Timing
Power
Memory Interface
RF

AI at the Endpoint

MPU/MCU
Power
Connectivity
AMS and CMIC
Environmental Sensors

 

Featured Solutions

Reality AI Tools®

Generate and build TinyML/Edge AI models based on advanced signal processing.

RealityCheck™ HVAC

AI-enabled solution to detect anomalies and faults and predict operating conditions in smart HVAC systems.

RealityCheck™ Motor

Enable conditional monitoring and predictive maintenance functionality without relying on additional sensors.
Reality AI / e2 studio Integration Overview Video

An overview of how the integration of Renesas Reality AI Tools® and e2 studio IDE can simplify your development cycle and for AI / ML edge and endpoint applications. Visit the Reality AI software page for more details or download e2 studio to interact with the Reality AI Tools.

Video List
Reality AI / e2 studio Integration Overview Video
Generative AI is happening at the Edge and Endpoint
AI Systems Need Integrated Software and Hardware Solutions

Events & Webinars

News & Blog Posts

Renesas Extends Its AIoT Leadership with Integration of Reality AI Tools and e² studio IDE News Sep 21, 2023
Semiconductor Industry Is Pulling AI Across a Diversity of End Uses and Applications Blog Post Jul 24, 2023
Renesas Picks Its Battle on Edge AI News Jul 5, 2023
Renesas Round-Up: A Q&A with Roger Wendelken on Trends Shaping Industrial MCUs Blog Post Mar 29, 2023
The New Convergence: IoT, AI and 5G Bring Actionable Intelligence to the Factory Floor Blog Post Jan 24, 2023
No Internet Connection for that Smart Device Design? Not a Problem with Easy-to-Deploy VUI Solutions Blog Post Aug 25, 2022
Revolution of Endpoint AI in Embedded Vision Applications Blog Post Jun 27, 2022
The Role of AI and Endpoint Real-time Data Analytics Blog Post Jun 13, 2022
Data Science and Data Integrity within AIoT Blog Post May 16, 2022
Learning at the Edge: Building Intelligence into the Industrial IoT Endpoint Blog Post May 5, 2022
Endpoint Intelligence Blog Post Apr 25, 2022

Application Resources

Real-time Analytics

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

Vision

Title Resource Type Associated Product(s)
Air Conditioning Control Application Project RZ/V2L
Conference Room Usage Monitor Application Project RZ/V2L
Congestion Detection for Retail Stores Application Project RZ/V2L
Congestion Detection in Railway Station Application Project RZ/V2L
Distracted Driving Detection Application Project RZ/V2L
Elevator Passenger Counting Application Project RZ/V2L
Lighting Control Application Project RZ/V2L
Parking Spot Reservation Application Project RZ/V2L
Passport Check Support Application Project RZ/V2L
People Counting and Monitoring Application Project RZ/V2L
Pet Detection in Prohibited Rooms Application Project RZ/V2L
Physical Condition Monitor Application Project RZ/V2L
Prohibited Area Management Application Project RZ/V2L
Safety Attire Management at Construction Sites Application Project RZ/V2L
Security Area Intrusion Detection Application Project RZ/V2L
Touchless Controller for Elevator​ Application Project RZ/V2L
Touchless Controller for Industrial Machine​s Application Project RZ/V2L
Touchless Controller for Kitchen Appliance Application Project RZ/V2L
Wild Animal Crop Defense Application Project RZ/V2L
Work Area Personnel Management Application Project RZ/V2L
SMARC SOM Evaluation Kit for RZ/V2L MPU with AI Accelerator Hardware RZ/V2L