Renesas says RA6M4 MCU family advances security for IoT

RA6 series microcontrollers (MCUs) from Renesas now include nine new RA6M4 group MCUs. These additions bring the RA family up to 42 MCUs. The latest 32-bit MCUs boost operating performance up to 200MHz using the Arm Cortex-M33 core based on Armv8-M architecture with Arm TrustZone technology.

The RA6M4 MCUs are supported by the Flexible Software Package (FSP) and Renesas’ partner ecosystem of software and hardware building blocks for RA6M4 MCUs and FSP to address industry 4.0, building automation, metering, healthcare, and home appliance applications.

The MCUs have large embedded RAM with parity/ECC, low power consumption, and benefit from the Arm developer and tools ecosystem. According to Renesas, the RA6M4 MCUs speed the development of intelligent IoT edge and endpoint devices. Renesas’ enhanced Secure Crypto Engine incorporates multiple symmetric and asymmetric cryptography accelerators, advanced key management, security lifecycle management, tamper detection, and increased resistance to side-channel attack, in addition to Arm TrustZone technology. These integrated security features enable customers to realise lower bill of materials (BoM) cost and secure element functionality in IoT designs, Renesas says.

“[The RA6M4 MCUs] offer customers best-in-class performance and security enhancements built with Arm Cortex-M33 cores that clearly deliver more memory, memory interface expansion, better power efficiency and wake-up time, and more connectivity options,” said Roger Wendelken, senior vice president of Renesas’ IoT and Infrastructure Business Unit. “

“IoT edge and endpoint technologies are opening up new opportunities for developers to build smaller devices, with greater privacy and less dependence on the cloud,” said Dipti Vachani, senior vice president and general manager, Automotive and IoT Line of Business at Arm. “The RA6M4 MCUs move intelligence closer to the data, with Arm TrustZone technology built in to ensure privacy and data integrity, helping securely accelerate the growth of IoT,” he added.

The RA6M4 MCUs are built on an efficient 40nm process, to drive power consumption down to 99 microA/MHz while running the CoreMark algorithm from flash. The MCUs also support fast wakeup times of 30 micro seconds from standby using an on-chip oscillator. The high integration up to 1Mbyte code flash memory and 256kbyte of SRAM (64kbyte with ECC) also make the RA6M4 MCUs well suited for low power and safety applications.

The RA6M4 with Flexible Software Package (FSP) allows customers to re-use their legacy code and combine it with software from partners across the Arm ecosystem to speed implementation of complex connectivity and security functions. The FSP includes FreeRTOS and middleware, offering a premium device-to-cloud option for developers. These out-of-box options can be easily replaced and expanded with any other RTOS or middleware. It also provides a host of efficiency enhancing tools for developing projects targeting the RA6M4 MCUs. The e2 studio integrated development environment  (IDE) provides a familiar development cockpit from which the key steps of project creation, module selection and configuration, code development, code generation, and debugging are all managed. FSP uses a GUI to simplify the process and dramatically accelerate the development process.

The RA6M4 MCUs are available now from Renesas’ worldwide distributors.

http://www.renesas.com

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Data processing units will elevate data centre performance, says Nvidia

At GTC, a virtual, global event hosted by Nvidia, the BlueField-2 family of data processing units (DPUs) was introduced. They are supported by DOCA, a data centre infrastructure on a chip architecture that raises networking, storage and security performance, says the company.

The BlueField-2 DPU can deliver the same data centre services that could consume up to 125 CPU cores, said the company, to free up the CPU cores to run other applications.

The Nvidia BlueField-2 DPU has the same capabilities as the company’s Mellanox ConnectX-6 Dx SmartNIC, with Arm cores. The fully programmable PCIe module delivers data transfer rates of 200Gbits per second and accelerates key data centre security, networking and storage tasks, including isolation, root trust, key management, RDMA/RoCE, GPUDirect, elastic block storage and data compression.

The BlueField-2X DPU, additionally has an Nvidia Ampere GPU with AI capabilities that can be applied to data centre security, networking and storage. Third generation Tensor Cores enable it to use AI for real time security analytics, including identifying abnormal traffic, which could indicate an intruder, together with host introspection to identify malicious activity, and dynamic security orchestration and automated response.

An Nvidia DOCA software development kit is also available to enable developers to build applications on DPU-accelerated data centre infrastructure services.

DOCA provides developers a comprehensive, open platform for building software-defined, hardware-accelerated networking, storage, security and management applications running on the BlueField family of DPUs.

Server manufacturers worldwide including ASUS, Atos, Dell Technologies, Fujitsu, GIGABYTE, H3C, Inspur, Lenovo, Quanta/QCT and Supermicro, have confirmed plans to integrate the DPUs into their enterprise server offerings.

Software support includes VMware (VMware Cloud Foundation), Red Hat (Red Hat Enterprise Linux and Red Hat OpenShift) and Canonical (Ubuntu Linux). Cybersecurity provider, Check Point Software Technologies, is integrating BlueField-2 DPUs into its technologies, which more than 100,000 organisations worldwide.

BlueField-2 DPUs are sampling now and BlueField-2X DPUs are under development and expected to become available in 2021.

DOCA is available for early access partners now.

http://www.nvidia.com

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Motobit Sentinel warns motorcyclists of potential hazards

A wearable device for motorcyclists has been introduced by Motobit. The Motobit Sentinel is specifically designed by a team of engineering bikers to increase the personal riding safety and improve the overall riding experience of fellow bikers.

It connects via Bluetooth to a smartphone and the Motobit app, and the rider receives warnings about potentially dangerous situations through strong vibration feedback.

There are several features for rider-safety. For example, advanced algorithms in combination with the Motobit app, allow the Motobit Sentinel to understand the users’ riding behaviour and analyses the course of the road ahead in order to suggest the adequate riding speed for every situation.

In the event of an accident, emergency contacts can be notified by pressing the easy to access button on the device to inform the rescue chain as quickly as possible.

For group riders, two or more devices can be combined. The lead rider will be alerted if another group motorcyclist cannot keep up.

The feedback and alerts are described as “powerful and non-distracting vibrations” so that the rider can keep the focus on the road.

As every motorcyclist uses different riding gear, Motobit Sentinel has been designed to be worn around the body, as a wristband or attached to the belt of the trousers or kidney belt, or simply inserted into a pocket.

Motobit Sentinel is the product of two years of diligent research and development of the team of Motobit. The company was founded by motorcycle enthusiasts with the vision to make motorcycling as safe as driving a car. They used their own experiences as motorcyclists, to address difficulties such as estimating the proper riding speed when approaching different situations as well as the importance of being warned about dangers in advance that may otherwise create great risks for motorcyclists.

https://www.getmotobit.com

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Advantech models fanless EPC-C301 on Intel Core for machine vision

Based on the 8th Generation Intel Core processor, the EPC-C301 is a compact fanless box PC from Advantech. Intended for industrial use, it has domain-focused I/O and can operate in a wide temperature range.

The EPC-C301 integrates Intel and Canonical technologies, provides Ubuntu OS and OpenVINO toolkits. It has been developed for machine vision applications, such as biometric artificial intelligence (face recognition), automated optical inspection (AOI) or automated plate number recognition (APNR).

EPC-C301 supports four GbE LAN and four USB 3.2 Gen2 x1 (10Gbits per second) to accommodate the IP/HD camera inputs required for AOI, APNR and other machine vision applications. The compact design measures just 170 x 118 x 70mm and has four USB 2.0 and four UART interfaces to expand performance with card readers, barcode scanners, key pads, fingerprint sensors and other peripherals.

There are also two isolated CANBus ports designed for use in automation and medical applications. Windows and Linux based drivers/APIs are also available for convenience and compatibility, adds Advantech.

The 8th Generation Intel Core processor at the heart of the PC is the first one that doubles the core count to quad-core on a low power 15W CPU, says Advantech. High-bandwidth dual-channel DDR4 supports up to 32Gbyte while satisfying intensive data handling and image processing requirements. The EPC-C301 is equipped with an M.2 M-Key 2280 that accepts both SATA SSD’s and PCIe x4 SSD’s, to advance computing speeds.

To meet artificial intelligence IoT (AIoT) IoT challenges on the edge, the EPC-C301 includes M.2 E-Key for Wi-Fi and Bluetooth, M.2 B-key for LTE and a mini-PCIe, which is compatible with Advantech’s VEGA-330 AI mini-PCIe module. This system has a broad operating temperature (-20 to around 60 degrees C) typically incurred in outdoor applications like passenger information/tracking systems (PIS) or smart parking solutions.

The EPC-C301 also features the Intel OpenVINO developer kit, which is compatible with the VEGA-330 AI acceleration card and Ubuntu 18.04 LTS.

The fanless box PC is available for order now.

http://www.advantech.eu

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