SoC is optimised for cost-conscious, two-layer PCB wireless products

Available in a wafer level chip scale package (WLCSP), optimised for compact, two-layer PCB wireless products, the nRF52805 SoC adds Bluetooth 5.2 to Nordic Semiconductor’s nRF52 series.

The nRF52805 SoC offers Bluetooth low energy (LE), high-throughput device can be used for cost-constrained applications such as disposable medical products, styluses, sensors, and beacons

The nRF52805 Bluetooth 5.2 SoC in a WLCSP measures just 2.48 x 2.46mm. The WLCSP SoC is optimised for two-layer PCB designs, avoiding the need for more expensive four-layer PCBs in compact, budget-constrained designs, says Nordic. The SoC is capable of Bluetooth LE high-throughput 2Mbits per second and enhanced Channel Selection Algorithm #2 (CSA #2) for improved co-existence.

Based on a 64MHz, 32bit Arm Cortex-M4 processor (144 CoreMark) with 65 CoreMark/mA efficiency, the SoC also includes 192kbyte flash memory and 24kbyte RAM. The multiprotocol (Bluetooth LE/2.4GHz) radio offers up to +4dBm power output and -97dBm sensitivity (1Mbits per second Bluetooth LE) for a link budget of 101dBm. The radio’s peak power draw is only 4.6mA (TX 0dBM, RX 1Mbits per second) and the SoC’s current draw is as low as 0.3 microA in system off and 1.1 microA in system on with 24kbyte RAM retained and real time clock (RTC) running. The SoC features a range of analogue and digital interfaces such as SPI, UART and two wire interface (TWI), a two-channel 12-bit ADC, and ten general purpose I/Os.

Nordic offers a 9.5 x 8.8mm reference layout with all ten general purpose I/Os available, which requires only 10 external passive components (including two crystal load capacitors).

The SoC can be powered from a 1.7 to 3.6V supply and integrates LDO and DC/DC voltage regulators.

The nRF52805 is currently supported by the S112 SoftDevice and Nordic confirms that support for the S113 SoftDevice follows soon. The S112 and S113 SoftDevices (Bluetooth 5.1-qualified protocol software) are memory-optimised peripheral stacks which support high-throughput 2Mbits per second and CSA #2 features. The stacks support up to four connections as a peripheral concurrently with a broadcaster.

The number of connections and bandwidth per connection is configurable, enabling memory and performance optimisation.

Both the S112 and S113 also support LE Secure Connections, improving security compared to LE Legacy Pairing. S113 also supports LE Data Packet Length Extension, resulting in higher throughput and less overhead per packet.

There is a guide explaining how to use the nRF52805 with Nordic’s nRF5 software development kit (SDK). Nordic recommends the nRF52 development kit can be used to emulate the nRF52805 and is a good hardware basis to start designs before moving over to a custom development board.

 The nRF52805 is now in volume production.

http://www.nordicsemi.com/nRF52805

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Lynx software bundles strength mission-critical edge computing

Software bundles, based on Lynx MOSA.ic have been introduced by Lynx Software Technologies. Initial introductions are for industrial, unmanned aerial vehicles/satellites and avionics.

Lynx MOSA.ic for Industrial, Lynx MOSA.ic for UAVs/Satellites, and Lynx MOSA.ic for Avionics bundles bypass the restrictions imposed by typical embedded approaches to mission-critical systems, allowing developers to create edge computing with robust system-safety mechanisms, security and real-time determinism with sub-microsecond latency, says the company.

Lynx’ secure hypervisor technology, which has been proven in mission-critical environments including commercial aviation, healthcare, and military aircraft and helicopters, is at the heart of the bundles.

Pavan Singh, vice president, product management at Lynx, observed: “Each is designed to let developers of security and safety critical systems, including certifiable systems, take advantage of powerful workflows and techniques such as containers and sensor fusion, easily connect to cloud services, and to scale and adapt intelligently to changing market requirements.”

The bundles are tailored to handle emerging use cases, such as industrial robotics, drone aviation, and complex satellite constellations carrying payloads owned and accessed by multiple users. The Lynx MOSA.ic bundles provide the tools needed to deploy systems efficiently and manage assets securely and safely, while letting developers create, certify, and deploy robust platforms cost-effectively, said Lynx.

The three initial domain-optimised offerings contain common features of the MOSA.ic software framework, including real-time operating systems (RTOS), bare metal and third party operating systems. Lynx MOSA.ic for Avionics and Lynx MOSA.ic for UAVs/Satellites support Arm and x86 processor architectures. Both include LynxOS-178, Lynx’s DO-178 certified operating system, the LynxSecure separation kernel hypervisor, Linux, a set of tools and support for the SR-IOV extension to the PCIe specification.

The initial alpha release of MOSA.ic for Industrial removes Lynx’s RTOS and adds Azure IoT Edge and Windows 10 support for x86 platforms. It also provides Virtual PLC functionality to let manufacturers quickly scale, reconfigure and update software-driven capacity, says Lynx.

Future iterations will extend capabilities including guest operating systems, IoT connectivity, and processor architectures, confirmed Lynx.

http://www.lynx.com

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Renesas adds neural network training to add AI to air quality sensor

Renesas has added embedded AI (e-AI) to its ZMOD4410 Indoor Air Quality (IAQ) sensor platform, enabling smart odour sensing for ventilation systems, bathroom monitoring and controls and air quality monitors.

The company has combined neural network-trained firmware on microcontrollers, such as the Renesas RL78, to provide higher resolution measurement results. With these new capabilities, the ZMOD4410 platform is capable of not only detecting gases in small enclosed rooms with higher accuracy and  improved part-to-part deviation, but can also distinguish between sulphur- and ethanol-based odours, Renesas explains. The upgrades are the first in a family of e-AI-based firmware from the company.

The software-configurable ZMOD platform provides greater design flexibility for smart sensing systems, through firmware upgrades in the field to enable new, application-specific capabilities such as selective measurements to detect volatile organic compounds (VOCs). The upgrades enable IAQ measurement within international guidelines, allowing customers to measure total VOCs (TVOCs) and IAQ in the low parts-per-million range (ppm). The higher accuracy and consistency provides improved estimated carbon dioxide (eCO2) levels. The ZMOD4410 AI firmware can also be implemented on any Renesas microcontroller – including RE, RA, or RX devices – or other general-purpose microcontrollers.

The programmability, stability and sensitivity in measuring VOCs makes the ZMOD4410 suitable for use in smart HVAC systems, ventilator fans, and bathroom lights and switches.

The ZMOD4410 is based on proven metal oxide (MOx) material and each sensor is electrically and chemically tested to ensure consistency from lot to lot. The devices are also highly resistant to siloxanes for reliable operation in harsh applications.

The ZMOD4410 platform with AI and performance firmware is available now.

http://www.renesas.com

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AI computing targets smart transportation and healthcare

The AN110-XNX edge AI computer developed by Aetina is based on the Nvidia Jetson Xavier NX. It is designed for applications in smart transportation, factories, retail, healthcare, AIoT and robotics.

The AN110-XNX combines the Nvidia Jetson Xavier NX and Aetina AN110 carrier board and measures just 87.4 x 68.2 x 52mm (with fan). It supports the MIPI CSI-2 interface for 1one 4k or two FHD cameras to handle intensive AI workloads from ultra-high resolution cameras to more accurate image analysis. It has 384 CUDA cores, 48 Tensor cores and cloud-native capability to deliver up to 21 Terra operations per second (TOPS).

Bundled with the latest Nvidia Jetpack 4.4 software development kit (SDK), the AN110-NX is an energy-efficient module for embedded edge-computing performance capabilities to support AI workloads which may be constrained by size, weight, power budget, or cost.

Aetina offers a full system, AN110-XNX-EN70 with fanless chassis and back up support in the form of board support packages and design to build configuration updates for both standard and customised platforms in their service policy. Aetina is developing Jetson Xavier NX-based edge computing platforms with 5G communications capability and full function browser-based edge device management.

As an Nvidia-preferred partner, Aetina focuses on delivering edge AI computing based on the Jetson platform for embedded applications. Nvidia Jetson is the leading AI-at-the-edge computing platform, with nearly half a million developers, says Aetina. Support for cloud-native technologies is now available across the Nvidia Jetson lineup, for manufacturers of intelligent machines and developers of AI applications to build and deploy software-defined features on embedded and edge devices targeting robotics, smart cities, healthcare and the industrial IoT.

The AN110-XNX is available now.

Aetina was founded in Taiwan in 2012 as a provider of high-performance general purpose graphics processor unit (GPGPU) and edge AI computing based on the Nvidia Jetson platform for embedded applications. We provide industrial components, system integration and services focused on the industrial and AIoT markets.

http://www.aetina.com

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