Espoir, an open-source ESP32-powered PoE+ board with mikroBUS header

Espoir PoE+ Board

There have been several crowdfunding campaigns in recent times, but most of them deal with single-board computers, radio modules, and development boards. Some of the most recent coverage includes the Mixtile Blade 3 and STEPFPGA development boards. Raspberry Pi Foundation recently announced the launch of PoE+ HAT specially designed for Raspberry Pi single-board computers that support the IEEE 802.3at-2009 PoE standard. Quebec-based open-source IoT automation electronics manufacturer, Connaxia, has announced a crowdfunding campaign on CrowdSupply which is yet to go live. The new project is a fully compliant Power over Ethernet+ board that is fueled by an ESP32 microcontroller– Espoir.

At the heart of the board is the ESP32-MINI-1 processor that features an ESP32-U4WDH embedded with ESP32-MINI-1 microprocessor clocked at a frequency of 240MHz. The tightly integrated chip also comes with a 448kB ROM and 520kB SRAM of which 16kB is used in RTC. Also, on the wireless connectivity side, the ESP32-MINI-1 processor supports IEEE802.11b/g/n Wi-Fi and Bluetooth v4.2 BR/EDR and Bluetooth LE.

Specifications of Espoir PoE+ board:

  1. SoC: ESP32-MINI-1 processor
    1. Processor core: Single-core or dual-core processor
    2. Clock frequency: 240MHz
    3. Storage: 4MB flash storage
    4. Memory: 520kB SRAM
  2. Wireless connectivity: IEEE802.11b/g/n Wi-Fi and Bluetooth 4.2 and Bluetooth LE
  3. USB ports: USB 2.0 via USB Type-C connector
  4. Expansion: 100Base-T Ethernet port, expansion headers with two grounds, 4x additional only input pins, and ESP32 reset signal
  5. Interfaces: mikroBUS socket with two grounds
  6. IOs: 12
  7. Weight: 31 grams
  8. Dimensions: 50.8×61.0 mm

Espoir PoE+ Board View

Open Source Hardware Associated certified PoE+ board brings mikroBUS headers to provide the flexibility to interface off-the-shelf modules and sensors. In addition to the Espoir PoE+ board, the manufacturer has also provided two add-on boards to get started– mikroShields. The IO One mikroShield is designed to provide 9 signal-voltage-ground 3-pin connector, a temperature and humidity sensor as well as an I2C connector. This board is designed for agricultural and gardening IoT applications. The other board is the Pmod compatible mikroShield to provide 12-pin header for a way to connect Pmod compatible devices and wired extension modules.

As an open-source project, the project files are detailed documentation and files are available on the official project page. Also, Espoir PoE+ board has not yet launched on CrowdSupply and is currently under pre-launch phase, you can still sign up on the project page to get timely notifications.

Raspberry Pi 400 inspired Orange Pi 800 personal computer inside a keyboard

Orange Pi 800 personal computer

There has been extensive coverage on the Raspberry Pi 400 news that witnessed innovation in designing single-board computers. All manufacturers, developing embedded boards in the same design and form factor, lack a lot of innovation, which is much needed in this demanding edge AI growth. Despite the fact that standard form-factor single-board computers provide the flexibility to interface existing modules and sensors, the new keyboard-based personal computer saw a new era of designing embedded devices. Like the Raspberry Pi 400, Shenzhen Xunlong announced a new personal computer inside a keyboard– Orange Pi 800, powered by a six-core Rockchip RK3399 system-on-chip and integrated 4GB LPDDR4 RAM.

At the heart of the Orange Pi 800 is the Rockchip RK3399 system-on-chip that features an Arm 64-bit processor core based on the large and small size core architecture of big.LITTLE. The integrated dual-core Arm Cortex-A72 processor core is clocked up to a frequency of 1.8GHz, and the quad-core Arm Cortex-A53 has a speed of 1.4GHz. The tightly integrated Arm Mali-5860MP4 graphics unit is also incorporated. The hardware device is equipped with 64GB of eMMC flash storage and on wireless connectivity, there is an onboard module to support dual-band 2.4GHz and 5GHz IEEE802.11b/g/n/ac Wi-Fi and Bluetooth 5.0 BLE.

Orange Pi 800 is designed to provide users with a higher quality, more cost-effective, and better user experience,” said the project manager of Xunlong Software. Inheriting Orange Pi’s open-source gene, Orange Pi 800 is also completely open-source, and we hope to create, discover and imagine richer products together with users. Orange Pi 800 will bring users unprecedented freedom, creation and a rich experience.”

Specifications of Orange Pi 800 personal computer:

  • Module: Rockchip RK3399 system on chip with dual-core Arm Cortex-A72 and quad-core Arm Cortex-A53
  • GPU: Arm Mali-5860MP4
  • Memory: 4GB LPDDR4 RAM
  • Storage: 64GB eMMC flash storage
  • Wireless connectivity: IEEE802.11b/g/n/ac Wi-Fi and Bluetooth 5.0 BLE
  • Video: Support 4K at 60 frames per second
  • Audio: 3.5mm jack (audio output) and MIC (audio input)
  • Keyboard: 78-key QWERTY keyboard
  • Expansion: 1x HDMI 2.0 and 1x VGA (for video), 2x USB 3.0
  • GPIOs: 26 pins
  • Power: USB Type-C
  • Dimensions: 286x122x22 mm
  • Weight: 385 grams

Orange Pi 800 personal computer specs

The Orange Pi 800 personal computer is designed with special heat-conducting silicage to keep the computer cool and silent even in heavy workloads. The hardware is also manufactured with pre-installed Python and Scratch for easy educational setup and exploration to build multimedia applications. With the ability to connect to an external display through HDMI or VGA port, the hardware can be used for streaming live video feeds. Advanced wireless connectivity also gives you the advantage of using fast video transfer from various embedded devices and edge sensors.

If you are interested in the product, more information can be found on the official product page. Unfortunately, Shenzhen Xunlong has not provided any further information on the pricing or availability of the Orange Pi 800 personal computer.

Developing Edge AI Applications Using Sitara AM62x

Sitara AM62x Processor

Known for its world-class high-performance processors, Texas Instruments (TI) has unveiled its line of new Sitara AM62x processors. The new Sitara AM62x family includes the AM623 and AM625 single to quad Arm Cortex A-53 processors. Texas Instruments has launched these new processors to significantly boost the performance of edge artificial intelligence (AI) for next-generation applications, building on its tradition of delivering highly integrated processors. The processor design focuses on low power consumption, making them capable of dual-screen displays and human-machine interface (HMI) applications.

For developing a better experience, TI has announced an event to showcase new Sitara AM62x processors. The event will focus on demonstrating system-level solutions for the numerous AI and HMI applications of these new processors at Nuremberg, Germany, on June 21-23,2022.

With the evolving HMI demands for optimal designs, AM62x processors allow the recognition of the simple gestures by the machine and enable the control in a noisy environment. They allow remote control in a noisy environment via gestures. The addition of edge AI technologies such as machine vision, analytics, and predictive maintenance may help redefine HMI. The operations using HMI will be enhanced, and a flexible experience for the engineers will be provided as these processors are power and cost-efficient.

Block Diagram of Sitara AM62x Processor

Technical Specifications of Sitara AM62x

  • Arm CPU – The powerful performance comes from the single, dual or quad-core Arm Cortex A53 processors, which can run up to a maximum 1400MHz.
  • Co-Processor- A single real-time highly efficient embedded processor ARM Cortex-M4F core clocked up to 400 MHz.
  • Memory- It uses the 4th generation of low-power DDR DRAM (LPDDR4) and DDR4 with a memory option of 4GB/ 8GB, respectively.
  • Storage- OSPI/QSPI interface with 166-MHz DDR / 200-MHz SDR for Serial NAND and Serial NOR flash devices.
  • Connectivity- It supports Gigabit Ethernet with the support of TSN.
  • Operating system- Linux/ Android

The GPU used in this new series of AM62x is not yet specified by the company, but it is known that they have used an unnamed 3D GPU.

Merits of Sitara AM62 Processors

Budget-friendly edge AI technology for new applications: The AM62x processors would be cost-effective and provide edge AI functions such as the recognition and detection of objects. The price starts from less than US$5, defining the AM62x as a truly cost-effective and high-performance processor. They also enable image processing functions for HMI devices and dual full-screen HD displays for several operating systems, including Linux and Android.

Reduction in power consumption by 50%: The AM62 processor is 50% more energy-efficient than competing devices, allowing applications powered by AA batteries to function for over 1,000 hours. Only a simplified power architecture can deliver such power efficiency; this processor has two dedicated power rails and 5 power modes. With a core voltage of 0.75 V, a deep sleep mode at <5 mW can extend the battery life, while an active power of <1.5 W is possible.

Flexible AI development using AM62x tools and resources: A variety of hardware and software tools and resources for AM62x processors help in making it cost-efficient and a less complex design. For achieving flexibility in the development of edge AI applications, the design includes the usage of operating systems such as Linux/ Android, which also helps in making the application fast. It comes with an EVM variant which is a third-party evaluation module (EVM) starting from US$25, helping the engineers to get started with the application development relatively faster.

The AM625 and AM623 processors from the new Sitara AM62x family offer a robust performance package with an effective cost and less power consumption technology. These processors are available in 13-mm-by-13-mm, 425-pin ALW packages with a price starting from less than US$5 in 1,000 quantities. These new power and cost-efficient processors are now up for sale at the official website of Texas Instruments (TI) and other distributors.

Axiomtek Releases MINI-ITX Motherboard with 12th Gen Intel® Core™ Processor – MANO560

Axiomtek – a world-renowned leader relentlessly devoted to the research, development, and manufacturing of innovative and reliable industrial computer products of high efficiency – is pleased to introduce the MANO560, an industrial mini-ITX motherboard featuring the LGA1700 socket for the latest 12th Gen Intel® Core™ processor (codename: Alder Lake S) to boost the performance of AI and IoT applications.

The industrial mini-ITX motherboard MANO560 is based on the new Intel® H610 chipset and features scalable CPU options with the 12th Gen Intel® Core™ i9/i7/i5/i3, Intel® Pentium® processors Gold or Intel® Celeron® processors. While the high performance is assisted by the two DDR4-3200 SO-DIMM with up to 64GB of memory, it is equipped with one M.2 Key E 2230 for wireless module and one M.2 Key B in which the user can choose between the PCIe x2 signal, the USB 3.2 Gen1 for 3042/3052 5G module or SATA interface for 2242 SSD, making the embedded board much more flexible. Besides, it provides a full-size mini PCIe for wireless modules and a PCIe x16 for graphics cards.

“The Axiomtek MANO560 is a powerful motherboard that takes the lead in the market. I believe its versatility in terms of the I/O, display, and computing capability can propel the AIoT applications for our customers,” said Kenny Lin, the product manager of the Product Planning Division at Axiomtek.

The MANO560 is built to deliver high computing performance and fulfill various I/O requirements. It comes with dual Gigabit Ethernet ports, one of which is 2.5G; also, it features two USB 3.2 Gen1 and five USB 2.0 for more peripherals. What’s more, it provides four COM ports to integrate devices like sensors. The MANO560 supports a triple independent display while providing rich interfaces, including HDMI, DisplayPort++, VGA and LVDS. The eDP is BOM optional and co-lays with LVDS. For storage, it has one SATA and one M.2 SSD.

Advanced Features

  • LGA1700 12th Gen Intel® Core™ i9/i7/i5/i3 processor (codename: Alder Lake S)
  • Intel® H610 chipset
  • Two DDR4 SO-DIMM for up to 64GB of memory
  • Two USB 3.2 Gen1 and five USB 2.0
  • Four COM ports (one RS-232/422/485 with 5V/12V power)
  • One PCIe x16 and one full-size mini-PCIe slot
  • One M.2 Key E slot and one M.2 Key B for USB 3.2 interface 5G module
  • One DP, one HDMI, one LVDS, and one VGA
  • One 2.5GbE and one 1GbE LAN

To secure the hardware-based data, the MANO560 supports onboard TPM 2.0. It also supports Linux and Windows operating systems. Moreover, Axiomtek releases the ECM500, a chassis designed for the mini-ITX motherboards; we also have the capability to assist with any customer’s industrial integration requirements.

The MANO560 is ready for purchase now. For more product information or customization services, please visit our global website at www.axiomtek.com or contact one of our sales representatives at info@axiomtek.com.tw.

Coreless Current Sensors with High Accuracy and TMR Elements Suitable for EV Charging Infrastructure

Murata has announced the new MRD series of open-loop current sensors that integrates high-performance tunnel magneto-resistive (TMR) elements – enabling precision measurement with regard to both DC and AC currents up to 40A, along with maintaining stable characteristics across an extensive temperature range. With high accuracy current sensing capabilities, these devices are suitable for a wide variety of applications like photovoltaic inverters, DC-DC converters, EV charging infrastructure, and power conditioning systems.

The coreless structure of these current sensors does not exhibit hysteresis effects or saturation issues which are typical side-effects with an iron core. It also results in reduced size and weight, as well as making mounting easier. Their proprietary differential measurement with two TMR-based elements gives immunity against external magnetic stray fields. This makes them suitable for use in application environments with high levels of electromagnetic noise.

Key Features

  • High-speed response Typ 0.5 µsec (bandwidth: 1 MHz)
  • High overall accuracy Typ 1.0%
  • Differential method for canceling external magnetic fields
  • Possible to select the bandwidth with a capacitor
  • Analog output
  • With thermal shutdown circuit
  • Complies with the UL62368-1 safety standards
  • SOICW16 package (10.3 × 10.2 × 2.8 mm)
  • Power supply voltage: 3.0 V and 5.0 V
  • Measurement range: AC (−25 to +25 A or −40 to +40 A) and DC (0 to 25 A or 0 to 40 A)

These MRD current sensors are compliant with the UL62368-1 electrical equipment safety standard and are supplied in SOICW16 packages.

The challenge of sharing CAD files – Manage, View, and Share CAD – All In The Cloud

In this post, we will cover one of the many reasons why hardware development is so challenging. When we think about the decision-making process for design changes in hardware, it often involves multiple stakeholders from different teams. A single change can have dramatically different levels of impact for each of these stakeholders, and more so, have a trickling effect on other design considerations. Because of this particularly challenging environment, it’s important to make sure all stakeholders are aligned on design changes and are involved in the decision-making process.

One of the more common engagements across stakeholders is the intricate collaboration between EEs and MechEs. In many designs where form factor size is limited, for example, consumer electronics, there often is a tradeoff between mechanical considerations and electrical performance. More often than not, a form factor is decided by an industrial design team, with some consideration of performance viability and engineering. That form factor is translated into the playing ground for the engineering teams to deliver on the functional aspect of the product. For electrical engineers, the more space, the better. It allows for more shielding, better thermal performance, ideal layout placements, and a broader set of components to select from. For the mechanical teams, their focus might be set on drop performance, reliability, thermals, tooling considerations, and more. The area where both teams have aligned performance metrics is often limited.

Because of this nature, the development process requires these teams to be in constant collaboration, in order to assess the trade-offs for design changes. A thinner enclosure could mean that the board outline could grow, allowing more room for the electrical engineers to design, but meaning that the reliability during drop could degrade.

Image Caption: Translating feedback and viewing designs between ECAD and MCAD can get restrictive and messy. Often times, collaboration requires access to each other’s design tools which comes with a steep learning curve

Over the course of the last decade, electronics have become smaller and have been able to support the smaller form factors. Companies are pushing the limits to design tolerances and making designs thinner, smaller, and lighter than ever before. This movement towards a more “mobile” future is driving exponential growth in the collaboration between electrical and mechanical engineers. However, these two teams live in very separate design environments, leading to a barrier to collaboration. Mechanical engineers often cannot review board files and ECAD models to understand design changes and their impact on the system, and electrical engineers cannot review MCAD models to understand how mechanical design changes will affect their designs.

The process ends up being extremely reliant on human-to-human interaction, leading to human errors. Take for example a wellness company in California – before using Bild, the electrical engineering team would rely on their product design team to inform them of any structural changes that could impact their PCB outline. With many changes in motion, a designer forgot to inform a minor update that would not allow the PCB to sit within the enclosure at the given tolerances, leading to the engineering teams showing up to their EVT build with assembly issues and thousands of dollars spent on rework and scrapped material.

After Bild, electrical and mechanical engineers are automatically informed about design changes and can review each design change without the need for additional design tools. For the first time, electrical engineers could review 3D CAD and take measurements to understand exactly the impact of changes, and mechanical engineers could measure board outlines to inform their mechanical design considerations.

The future of collaboration between these teams, and many more, is growing and teams are looking for ways to bring together these various stakeholders. Design changes will need to be made faster and with more input across growing teams. Tools like Bild enable various stakeholders and decision-makers to view and review any design on the web and stay up-to-date on design changes and future considerations. For teams that face challenges around EE and MechE collaboration, a tool like Bild could address many barriers in collaboration.

Visit us at getbild.com to book a demo and learn how cross-functional teams can collaborate seamlessly.

Two-axis inclinometer for harsh environments eliminates need for recalibration


The new SCL3400 MEMS inclinometer from Murata is suitable for industrial applications that require high stability, accuracy and reliability.

Featuring minimal offset drift of ≤0.12° over its lifetime, the SCL3400 can be used in isolated locations with little or no maintenance, as no recalibration is required to maintain accuracy.

Intended for use in tough industrial environments, the sensor provides stable angle readings on two axes with a maximum sensitivity error of 0.7% over a wide range of temperatures, and in the presence of vibration.

Users can select between two measurement modes: ±30° with 10 Hz measurement bandwidth, and ±90° with 40 Hz measurement bandwidth.

Features

  • SPI digital interface
  • 0.0009°/√Hz noise density
  • 3.3 V supply voltage
  • 8.6 mm x 7.6 mm x 3.3 mm package
  • Operating-temperature range: -40°C to 85°C

The SCL3400 is suitable for structural health monitoring, an application in which changes to structures such as bridges, tunnels and buildings are measured and monitored over a long period of time, and often in harsh exterior conditions. The device is also suited to use in construction tools and systems, such as rotating lasers, digital bubble levels and surveying instruments, in which accurate tilt sensing is required.

The SCL3400 sensor draws 2 mA during operation, making it suitable for battery-powered applications. The sensor may be used to replace the Murata SCA103T single-axis analog inclinometer. The SCL3400 is also fully pin-compatible with the SCA3300 accelerometer and SCL3300 inclinometer.

more information: https://www.murata.com/-/media/webrenewal/products/sensor/pdf/flyer/murata-sensors-for-structural-health-monitoring.ashx

Azoteq IQS227D Capacitive Proximity & Touch Controller

Azoteq IQS227D Single-Channel Capacitive Proximity and Touch Controllers are fully integrated self-capacitive sensors with dual outputs (touch and proximity outputs). Azoteq IQS227D is sub-5μA in low-power mode while sensing proximity and offers advanced on-chip digital signal processing. These sensors serve a wide variety of applications, including LCD/plasma/LED TVs, GSM cellular phones, LED flashlights, office equipment, and more.

Features

  • Sub-5μA in low-power mode while sensing proximity
  • Automatic tuning implementation (ATI) – automatic tuning of sense electrode
  • Internal capacitor implementation (ICI) – reference capacitor on-chip
  • 2.4V to 5.5V supply voltage
  • Minimal external components
  • Advanced on-chip digital signal processing
  • User-selectable (OTP) – four power modes
    • I/O sink/source
    • Time-out for stuck key
    • Output mode (direct/latch/toggle)
    • Proximity and touch button sensitivity
  • RoHS2 compliant

more information: https://www.azoteq.com/images/stories/pdf/iqs227d_datasheet.pdf

BeagleBone launched a new AI-64 single-board computer for computer vision systems

BeagleBone AI-64 SBC

BeagleBone has announced a new addition to the long list of BeagleBone single-board computers, AI-64, a high-performance computer, custom-made for embedded IoT applications. BeagleBone AI-64 single-board computer is a complete hardware system that is capable of delivering improved performance for advanced artificial intelligence and machine learning workloads. The rich set of peripherals enables developers to build edge IoT applications with a faster time to market.

BeagleBone Foundation claims the AI-64 single-board computer as the “most powerful” AI open-source platform commercially available. The hardware is built on the open-source Linux approach to bring massive computing power to the hands of embedded developers and hardware engineers. The hardware platform gets Texas Instruments’ TDA4VM system-on-chip that features a dual-core Arm Cortex-A72 processor core, tightly integrated with the PowerPR GPU and a programmable C7x DSP core. The onboard deep learning, machine vision, and multimedia accelerator allow developers to applications related to computer vision, machine learning, vision analytics, autonomous robots and drones, media servers, home security, smart buildings, and retail automation.

“We believe this board will capture the imagination of designers and empower them to build complete and powerful AI systems” stated Christine Long, CEO of the BeagleBoard.org® Foundation. “At an extremely competitive price point, we are excited about the new applications that BeagleBone AI-64 will enable for new and experienced users.”

Recommended reading: What is AI inference at the edge?

Specifications of BeagleBone AI-64 single-board computer:

  • SoC: Texas Instruments’ Jacinto TDA4VM system-on-chip with 2x Arm Cortex-A72 processor core clocked at a frequency of 2GHz
  • GPU: 3D GPU PowerVR Rogue 8XE GE8430 up to 750MHz, 96GFLOPS, and 6Gpix/sec
  • Memory: 4GB LPDDR4 RAM
  • Storage: 16GB eMMC flash storage with microSD card slot for expansion
  • Onboard modules: On-die processor temperature sensor
  • Interfaces: M.2 e-key PCIe connector to interface Wi-Fi and Bluetooth modules, USB 3.0 Type-C interface for power, 2x USB 3.0 Type-A interface, Gigabit Ethernet
  • Display: 4-lane DSI connector for display options
  • Camera: 2x 4-lane CSI connector for camera modules
  • Serial communication: 2x I2C, 2x SPI, 4x UART
  • Buttons: 1x boot button, 1x reset button, 1x power button
  • Power: USB Type-C port for power
  • LEDs: 1x power indication, 5x user LEDs
  • Software: Zero-download out-of-box software experience with Debian GNU/Linux

BeagleBone AI-64 Specs

BeagleBone AI-64 single-board computer is manufactured with an open-source focused toolchain and development environment, a web browser, power source, and network connection that is required for performance-optimized embedded applications. The manufacturer has provided “zero-download out-of-box software experience” with pre-installed Debian GNU/Linux. The famous BeagleBone expansions with BeagleBone cape headers provide the flexibility to interface hundreds of open-source hardware that are available in the market.

“BeagleBone AI-64 represents a major milestone for BeagleBoard.org, satisfying some of the most requested features from our developer community,” stated Jason Kridner, BeagleBoard.org Foundation board president “including 64-bit support and inclusion of PCIe on an expansion header.”

The hardware is currently available for orders on Farnell UK e-commerce store for £140.00 excluding VAT. For more information on the BeagleBone AI-64 single-board computer, head to the official product page.

NXP’s new MCX microcontroller portfolio will meet the growing needs of edge computing applications

NXP MCX microcontroller

NXP Semiconductors has announced a series of microcontrollers that addresses developer requirements for enhanced scalability, security, simplified system design, and optimal capabilities for an array of IoT, edge ML, and industrial automation use cases. The latest addition to the portfolio comprises four distinct Arm Cortex-M-based MCX microcontrollers that are assembled on a single platform and supported by the MCUXpresso suite of software and development tools.

Built around high-performance Arm Cortex-M cores, the portfolio includes a full set of peripherals for design flexibility. To further improve the real-time performance of edge applications, the devices have up to 1MB of on-chip SRAM in addition to up to 4MB of on-chip flash memory, a low power cache, and advanced memory management controllers. Additionally, the all-new hardware includes the first instantiation of NXP’s dedicated neural processing unit (NPU) for accelerating edge inference, capable of delivering up to 30x faster machine learning throughput than a CPU.

“As we approach the milestone of 75 billion connected devices, we are entering a new era of edge computing, requiring us to fundamentally rethink how to best architect a flexible MCU portfolio that is scalable, optimized, and can be the foundation for energy-efficient industrial and IoT edge applications today and in the decades to come,” said Ron Martino, Executive Vice President and General Manager of Edge Processing for NXP Semiconductors.

The task of integrating high computing power, enhanced performance, security requirements, connectivity options, and balancing the overall system cost and energy requirements is solved by the MCX portfolio. Therefore, to address the real-time workloads for the upcoming wave of innovation, NXP has categorized its four new series of microcontrollers such as:

  • The MCX N Advanced series features an integrated EdgeLock secure subsystem and dedicated NPU with a high-efficiency compute architecture for real-time inference.
  • The MCX A Essential series is designed to deliver essential functionality in applications like motor control where cost constraints, advanced analog capabilities like high-precision data converters, and quick time to market are important factors.
  • The MCX W Wireless series provides Bluetooth Low Energy connectivity as well as low-power narrowband connectivity. Its energy-efficient radio helps small connected system batteries last longer, making it ideal for adding wireless connectivity to IoT devices.
  • The MCX L Ultra-Low Power series targets power-critical applications. In comparison to conventional MCUs, these devices will significantly increase battery life thanks to one of the lowest static and dynamic power consumption in the industry.

In terms of software, NXP’s elQ ML software development environment will offer machine learning and run-time inference for the MCX microcontrollers. By using the easy-to-use tools provided by eIQ, developers can train ML models that are intended for either the NPU or the CPU core and then deploy them on the MCU. According to NXP’s security-by-design methodology, MCX families will provide a secure boot with an immutable root-of-trust, hardware-accelerated cryptography, and an integrated EdgeLock secure subsystem. Therefore, for embedded systems intended for edge deployment, the most crucial design factor is the integration of security features.

The diversity of the MCX portfolio marks a breakthrough for the edge ecosystem, enabling developers to select the hardware that best fits their application requirements. NXP Semiconductor MCX Portfolio will be demonstrated at Embedded World 2022. For more information on the NXP MCX microcontrollers, visit the portfolio page.

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