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Renesas to Acquire Steradian to Expand Its Reach in the Radar Market

The Acquisition Will Bolster Renesas’ Automotive and Industrial Sensing Portfolio with Steradian's Radar Technology

August 31, 2022
TOKYO, Japan, August 31, 2022 ― Renesas Electronics Corporation (TSE:6723, “Renesas”), a premier supplier of advanced semiconductor solutions, today announced that it has entered into a definitive agreement to acquire Steradian Semiconductors Private Limited (“Steradian”), a fabless semiconductor company based in Bengaluru, India, that provides 4D imaging radar solutions, in an all-cash transaction. The acquisition is expected to close by the end of 2022, subject to customary closing conditions. The acquisition of Steradian's radar technology will enable Renesas to extend its reach in the radar market and boost its automotive and industrial sensing solution offerings.

With the advancements of ADAS (Advanced Driver Assistance Systems) in the automotive market, automotive sensor fusion demand is growing to allow precise and accurate object detection of vehicles’ surroundings by combining data from multiple sensors, such as cameras, radar and LiDAR (Light Detection and Ranging). Radar in particular accurately detects objects over long distances, day or night, even during harsh weather or other adverse environmental conditions. For these reasons, radar is considered an essential sensing technology for ADAS, and the number of radar sensors installed in vehicles is expected to triple over the next five years (Note). To respond to such growth potential, Renesas is expanding its automotive product portfolio with Steradian’s radar technology.

“Radar is an indispensable technology for ADAS, which uses a complex combination of various sensors,” said Hidetoshi Shibata, President and CEO of Renesas. “The addition of Steradian's superb radar technology and engineering talent will allow us to extend our leadership in the automotive segments. We will also leverage their technology for industrial applications to drive our mid- to long-term business growth in both segments.”

"Renesas' industry-leading portfolio of embedded solutions and broad customer base serve as an ideal foundation to maximize Steradian’s radar technology worldwide,” said Gireesh Rajendran, CEO of Steradian. “By working together with the Renesas team, we will continue to develop innovative radar solutions that deliver the high performance, small footprint and low power consumption that our customers desire.”

Founded in 2016 as a start-up company, Steradian has extensive expertise in radar technology. Operating in the 76-81 GHz band, Steradian’s powerful 4D radar transceivers offer a high level of integration in a small form factor and high power efficiency. Renesas will leverage Steradian's design assets and expertise to develop automotive radar products, with plans to start sample shipments by the end of 2022. The company aims to develop complete automotive radar solutions that combine ADAS SoCs (System-on-Chips) for processing radar signals, power management ICs (PMICs), and timing products together with software for object recognition. Collectively, these solutions will simplify the design of automotive radar systems and contribute to faster product development.

Renesas and Steradian have been collaborating since 2018, mainly in industrial applications. Steradian's radar technology is expected to be adopted in home security systems such as surveillance, traffic monitoring for people, cars and motorcycles, HMI (Human-Machine Interface) systems such as gesture recognition and docking systems in airport terminals. Steradian provides targeted solutions for these applications by offering transceiver ICs, turnkey modules that include antennas, and software stacks for object recognition.

For the last several years, Renesas has been expanding its connectivity and analog products to complement its core processing products for embedded systems. With the acquisition of Steradian, Renesas will bring together the best possible devices and software to meet the growing demand for sensor technology solutions for automotive and industrial customers, to make their design work easier.

(Note) Source: Strategy Analytics Inc., "Imaging RADAR Coming to Automotive,” December 2021.

(Remarks) All names of products or services mentioned in this press release are trademarks or registered trademarks of their respective owners.
 
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In my opinion, the Brainchip marketing management team hit a homerun with this 90 second video. Best thing they have done, short to the point Use Case facts. Fast moving, changing scenes. Internally, the marketing engine is starting to hum!

Industrial solutions over the next 3/5/15 years out of Renesas should really benefit Brainchip hugely!

Bridge sensor solutions would flow through Renesas type intermediaries, selling Brainchip IP? Right? For industrial solutions, Renesas is a big-time friend? That is the way I look at it. 🎺

 
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Looks like the ecosystem could be expanding with this latest partnership between Renesas and VinFast:


"VinFast is on a course of market expansion worldwide and mass production to ensure the highest vehicle performance and timely delivery to customers” said Le Thi Thu Thuy, Vice Chairwoman of Vingroup and Global CEO of VinFast. “This new partnership with Renesas will give VinFast access to both advanced in-vehicle semiconductor technology as well as high-level system expertise, with the aim to accelerate the development of safe and sophisticated EVs for global markets."
 
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www.eenewseurope.com

Renesas boosts vision AI accelerator for multi-camera support

Renesas Electronics has expanded the performance of its AI accelerator in its RZ/V microprocessor to support multiple cameras.
www.eenewseurope.com www.eenewseurope.com


Renesas boosts vision AI accelerator for multi-camera support
New Products | September 29, 2022
By Nick Flaherty
AI MPUS/MCUS
Renesas Electronics has expanded the performance of its AI accelerator in its RZ/V microprocessor range using new compiler technology to support multiple cameras.


The RZ/V2MA uses the proprietary low power DRP-AI (Dynamically Reconfigurable Processor) accelerator alongside two 1GHz 64bit ARM Cortex-A53 cores with performance of 1 TOPS/W.

The RZ/V2MA makes use of recently acquired development tools to aid vision AI system design. In addition to the existing DRP-AI Translator, the new device adds DRP-AI TVM, based on the EdgeCortix MERA Compiler Framework and open-source deep learning compiler Apache TVM technology. Renesas teamed with EdgeCortix in July to port the technology.

Renesas teams for edge AI compiler
Renesas buys edge AI tool developer
While DRP AI Translator is designed to convert AI models into DRP-AI executables, the DRP-AI TVM compiler lets the DRP-AI accelerator work together with the CPU, allowing DRP-AI to convert and generate more AI models As a first phase, Renesas supports ONNX and PyTorch AI models and plans to support Tensorflow in the future.



The RZ/V2MA includes Ethernet, USB, and PCI Express interfaces for image input from multiple external cameras as well as video codec blocks for the H.265 and H.264 standards.

In addition to the DRP-AI accelerator, the RZ/V2MA includes an OpenCV accelerator that allows rule-based image processing simultaneously. These features bring highly accurate image recognition capabilities for machine vision products such as AI-equipped gateways, video servers, security gates, POS terminals and robotic arms.

“One of the challenges for embedded systems developers who want to implement machine learning is to keep up with the latest AI models that are constantly evolving,” said Shigeki Kato, Vice President of Renesas’ Enterprise Infrastructure Business Division. “With the new DRP-AI TVM tool, we are offering designers the option to expand AI frameworks and AI models that can be converted to executable formats, allowing them to bring the latest image recognition capabilities to embedded devices using new AI models.”

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ARM battles RISC-V at Renesas
“Renesas’ RZ/V series is ideal for embedded devices since it does not need fans or heat sinks, due to its extremely low power consumption and low heat capability when running AI,” said Chiharu Nakabayashi, President of amnimo, a provider of IoT and AI-based services that is a subsidiary of Yokogawa Electric. “With these devices, we are confident that we can develop powerful image AI gateways that can be installed anywhere.”



Renesas has developed the “Vision AI Gateway Solution,” which is an AI-based object detection and recognition platform that uses multiple cameras to collect and efficiently transmit data wirelessly. The reference design combines the RZ/V2MA MPU with other Renesas products such as power ICs, VersaClock clock generator, and communication modules for Wi-Fi, Bluetooth, and LTE.

The RZ/V2MA and development tools are available now in a 15 x 15mm GBA.



 
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This is a very long transcript of a podcast from the Embedded World exhibition Nuremberg in June. A screenshot of the most important Renesas part shown here. Maybe worth to have a closer look at the Xiaomi Mi Band 7.



Screenshot 2022-11-02 at 09-50-08 Podcast embedded world 2022 Processors MCUs memory FPGAs - E...png
 
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TOKYO, Japan ― Renesas Electronics Corporation (TSE:6723), a premier supplier of advanced semiconductor solutions, today expanded the “Renesas Ready Partner Network” to include commercial-grade, performance-optimized building blocks for its RZ Family of microprocessors (MPUs), featuring 106 new partners and 160 building block solutions. The trusted technology partnership program has grown in the last three years to more than 200 partners, who collectively provide over 300 building-block solutions that work out-of-box with the Renesas RZ MPU and RA, RX and RL78 microcontroller (MCU) product lines. Customers can now easily scale from 8-bit to 64-bit product offerings with most partners.

The “Renesas Ready Partner Network” has evolved over the last three years as a plug-and-play option that combines the benefits of Renesas products to help customers simplify their design processes and accelerate time to market and time to revenue. The solution ecosystem will continue to grow globally as additional partners join the program.

“Renesas has grown its world-class partner ecosystem for MCUs and MPUs, and we will continue to expand our network to make our customers’ lives easier,” said Sailesh Chittipeddi, Executive Vice President and General Manager of the IoT and Infrastructure Business Unit of Renesas. “With the addition of our RZ Family, we now have a single, strong global ecosystem of trusted partners across all of our products.”

“Ecosystems such as the Renesas Ready Partner Network are increasingly important thanks to the myriad solutions available for industrial IoT,” said Chip Rodgers, Chief Marketing Officer, WorkSpan, a leading ecosystem business management platform. “Design complexity has expanded multi-fold, and project timelines are much tighter. Partner ecosystems are critically important to build whole solutions to address real-world engineering problems, enhance collaboration and drive success.”

Kaushal Vora, Senior Director of Business Acceleration and Ecosystem at Renesas, and Chip Rodgers will discuss the importance of ecosystems and the expanded Renesas Ready program on WorkSpan’s “Ecosystems Aces” podcast on November 11. For more information and to listen to the podcast, visit bit.ly/3TN8UA6.

The Renesas Ready Partner Network leverages pre-developed third-party software and hardware building blocks. The solutions work “out-of-the-box” to solve real-world customer problems with Renesas MCU & MPU products and are revised to keep up with every major release of the Renesas software platforms and tools. The building blocks are identified with a product specific badge and come with easy to understand collateral and a demonstration project. The interactive, immersive content is available in the form of technical demonstrations, video overviews, reference designs and whitepapers and covers a broad spectrum of technologies.

Testimonials from many of the partners in the Renesas Ready Partner Network can be found at renesas.com/renesas-ready.

About Renesas RZ Microprocessor Family

The Renesas RZ Family of 32-bit and 64-bit microprocessors (MPUs) enables the solutions required for the smart societies of the future. Through high-performance CPU cores and a variety of accelerators and peripheral functions, engineers can easily implement high-resolution human machine interfaces (HMI), embedded vision, embedded artificial intelligence (e-AI), and real-time control and industrial ethernet connectivity. More information is available at: renesas.com/rz.
 
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Executive Blog: AI at the IoT Edge Is Disrupting the Industrial Market

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Sailesh Chittipeddi
Sailesh Chittipeddi
Executive VP and General Manager of the IoT and Infrastructure Business Unit
Artificial intelligence (AI) at the edge of the network is a cornerstone that will influence the future direction of the technology industry. If AI is an engine of change, then semiconductors are the oil driving the new age that is being defined by machine learning (ML), neural networks, 5G connectivity and the advent of blockchain, digital twins and the metaverse.

Despite recent disruptions to the chip industry due to supply chain and more recently, macroeconomic factors, the confluence of AI – and the Internet of Things (IoT) known as AIoT– is poised to shift the world from cloud-centric intelligence to a more distributed intelligence architecture.

It is expected that a staggering 73.1 zettabytes of data is expected to be generated by IoT devices, in 2025 according to IDC Research. As a result, endpoint data will increase at a CAGR of 85% from 2017 to 2025, driving intelligence from the cloud to the endpoint to run AI/ML workloads within tiny machines (TinyML). Some of the applications that are seeing the most disruption include the development of “voice as a user interface” to improve human-to-machine communication, as well as environmental sensing and predictive analytics and maintenance. Major growth segments include wearables, smart homes, smart cities and intelligent industrial automation.

What are the benefits of embedding intelligence at the endpoint? Many industrial IoT applications operate within environments constrained by memory capacity, limited computing and battery power and sub-optimal connectivity. Moreover, these applications often require real-time responses that may be mission and system critical. Expecting such devices and applications to operate in a cloud-centric intelligence architecture just does not work.

This is where the power of embedding intelligence at the endpoint is evolving from standard industrial IoT implementations to what we are calling AIoT for industrial applications.

Transforming data at the source of collection minimizes latency and enables optimized processing for time-critical applications. Because data is not processed and transported over the network, the security concerns related to transfer and flow of data, are greatly minimized. Another advantage is that data handling, can be linked with root-of-trust at the endpoint, making the implementation impervious to attacks. Since data processing is handled at or very near to the source, we can fully leverage data gravity and reduce the power consumption associated with turning on radios or moving data through the network.

Our commitment to our customers is to lead the industry in endpoint compute technology with the broadest range of MCUs and MPUs. Already this has enabled designers to leverage our rich ecosystem of IoT and AI/ML building blocks by tapping into a technology ecosystem that features more than 300 building blocks of commercial grade software provided by Renesas’s trusted partners.

Our growing AIoT portfolio also explains our recent acquisition of Reality AI, a new platform powering edge and endpoint AI in industrial IoT applications using Renesas processors. Reality AI automatically searches a wide range of signal-processing transforms and generates custom machine learning models, while retaining traceability in its approach and offering valuable hardware design analytics. The models run on nearly every MCU and MPU core available from Renesas – with new ones added constantly.

This puts an incredibly powerful tool into the hands of designers to help them solve their most difficult problems, because the model development is specifically for non-visual sensing use cases and based on advanced signal processing math and edge deployment. This enables advanced analytics capable of supporting full hardware design and complete frameworks, including data collection, instrumentation, firmware and ML workflows. Other solutions simply generate algorithms and models that often account for only 5% of typical project costs, while ignoring the other 95% of development expenses.

Our comprehensive approach to AIoT design allows developers to reduce unscheduled equipment downtime, improve production efficiencies and perform sophisticated quality assurance tasks that are costly or difficult to replicate in current testing environment.

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Auto-ML Solution for Real-time Analytics - Advanced Signal Processing + AI for Endpoints
In a real-world use case tested under 51 different environmental and load conditions in a three-ton residential HVAC system, Reality AI was able to achieve a greater than 95% accuracy when detecting and distinguishing single fault conditions. The test also detected indoor and outdoor air-flow blockage and charge faults as small at 5% from OEM specifications in both heating and cooling modes.

The convergence of AI and IoT for industrial applications is a megatrend with significant potential. The acquisition of Reality AI unlocks the potential of combining advanced signal processing with AI at the edge and supported by Renesas’ extensive hardware, software, tools and ecosystem to provide all the building blocks you need to unleash your creativity.

I will be speaking in greater depth on the topic of AI at the edge as part of the Embedded Forum at electronica 2022 in Munich, Germany. If you are at the conference, I hope you will attend the keynote session, "Sense, think, act - the future is AIoT," on Wednesday, Nov. 16 beginning at 2pm CET in Hall A4 – 461.
 
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