Weartech-ICs & Semiconductors

TI’s SimpleLink wireless microcontroller enables reliable long-range communication

Fri, Jun 07, 2024

Mouser Electronics, is now stocking the CC1354P10 SimpleLink wireless microcontroller (MCU) from Texas Instruments. The CC1354P10 device, optimised for low-power wireless communications, features on-chip over-the-air update capabilities and advanced security features. The CC1354P10 SimpleLink wireless microcontroller enables long-range and reliable communication in a range of applications, including building security systems, smart meters, HVAC, medical, wired networking, portable electronics, home theatre and entertainment, and connected peripherals.

The Texas Instruments CC1354P10 is a multiprotocol and multi-band Sub-1 GHz and 2.4 GHz wireless microcontroller. The CC1354P10 device includes wireless protocol support for Thread, Zigbee, Bluetooth 5.3 Low Energy, IEEE 802.15.4, IPv6-enabled smart objects, and proprietary systems. The CC1354P10 also supports Matter, an industry-unifying, IP-based connectivity protocol that streamlines the development of IoT applications while allowing seamless integration into a variety of ecosystems for smart homes, industrial automation, consumer electronics, smart agriculture, healthcare, and more.

The CC1354P10 device is part of the SimpleLink platform, which consists of Wi-Fi, Bluetooth Low Energy, Thread, Zigbee, Sub-1 GHz MCUs, and host MCUs that share a single-core software development kit (SDK) and rich tool set. A one-time integration of the SimpleLink platform allows users to add any combination of the portfolio’s devices into a design, allowing 100 percent code reuse when design requirements change. The multi-band wireless MCUs offer pin-to-pin compatibility from 352KBytes of Flash up to 1MByte of Flash in the 7 mm2 QFN package for maximum design scalability.

https://www.mouser.com

> Read More

Arrow Edge AI engineering services launches to boost support for advanced device development

Thu, May 09, 2024

Arrow Electronics is strengthening support for customers seeking to accelerate their embedded applications with artificial intelligence and machine learning by launching Arrow Edge AI engineering services. The resources include engineering consultancy, technical training, design services, ready-to-use software, and a curated selection of vendor-specific and independent tools.

“Analysts say AI will be one of the biggest technologies of the coming decade. In fact, AI algorithms are already embedded in many consumer and industrial applications and are an essential ingredient for reaching the latest performance and power efficiency targets,” said Morten Block, marketing director EMEA, Arrow Electronics. “Developing AI applications to run on edge computing platforms is no trivial task, so Arrow Edge AI engineering services is here to handle the challenges. With solutions for every stage of the development lifecycle, we help our customers keep their projects on track, from initial analysis and determining the right approach, to algorithm development, model training, optimisation, and deployment.”

Edge AI represents numerous opportunities for product developers to create innovative products, such as wearables, IoT gateways, smart sensors, autonomous machines, and others, to be deployed throughout factories, cities, homes, smart buildings, agriculture, utility networks, and retail. In addition to increasing performance and efficiency, edge AI can also enhance security and relieve dependence on continuous network connectivity.

The Arrow Edge AI engineering services portfolio covers the spectrum of edge AI applications, including object detection, facial recognition, industrial inspection, voice control, sound analysis, and touch sensing.

In addition to consulting and design assistance, Arrow Edge AI engineering services will offer extensive training, including AI theory, algorithm development, modelling, software tools, and applications such as predictive maintenance. Accessible through an online hub, the service will also provide learning resources, articles and videos to help users achieve their goals.

https://www.gotostage.com

> Read More

SoM by Variscite brings machine learning to compact, cost-optimised, rugged edge devices

Wed, May 08, 2024

Variscite has announced the newest member of the DART Pin2Pin family for machine learning on edge devices for markets like industrial, IoT, smart devices, and wearables.

At only 55 x 30 millimetres—about half the size of a credit card—the DART-MX93 enables machine learning, even in compact devices. Its energy-flex architecture provides efficient processing; built-in security ensures data and applications are protected.

Similar to the VAR-SOM-MX93 which was already launched by Variscite in 2023, the DART-MX93 is based on the same NXP iMX93 processor with up to 1.7GHz Dual Cortex-A55, and 250MHz Cortex-M33 real-time co-processor, equipped with the Arm neural processing unit Ethos-U65 microNPU. The new SoM includes robust features like 2x CAN bus, 2x GbE, and industrial temperature grade plus a wide range of features and connectivity options: camera inputs, audio in/out, ADC, 2x USB, certified Wi-Fi 6 dual-band 802.11 ax/ac/a/b/g/n with optional 802.15.4, BT/BLE 5.3, and LVDS display outputs.

Variscite offers a broad range of SoMs based on NXP’s i.MX 9 series. The upcoming VAR-SOM-MX91, to be released in parallel with NXP’s iMX91, is ideal for price-sensitive devices. The DART-MX95, powered by NXP i.MX95, was created for powerful edge platforms that demand high performance, high-end graphics, AI/ML capabilities, advanced security and safety functions, and a rich set of high-speed connectivity options.

The DART-MX93 is part of the DART Pin2Pin family that gives Variscite customers a future-proof way to scale their device capabilities with new generations of DART SoMs. This ensures extended longevity for customer products, as well as reduces development time, costs, and risks for future product iterations. From the i.MX8M Mini, through the i.MX8M and iMX8M Plus, to the i.MX 95.

https://www.variscite.com

> Read More

THine introduces camera kit for NVIDIA Jetson Orin NX/Nano

Tue, Apr 23, 2024

THine Solutions have announced the new THEIA-CAM 13MP PDAF camera, THSCJ101, for the NVIDIA Jetson Orin NX and Jetson Orin Nano platforms. Along with its pre-optimised ISP firmware and Linux driver, Jetson users are now able to easily integrate advanced imaging capabilities into their systems.

The THSCJ101 kit is a camera reference design kit for embedded camera applications that are using the NVIDIA Jetson Orin NX or the Jetson Orin Nano platform. The THSCJ101 kit is based on THine’s THP7312-P ISP and Sony’s IMX258 13MP CMOS PDAF image sensor.

THine’s optimised ISP firmware provides ultra-quick autofocus using Phase Detection Autofocus (PDAF) technology and best-in-class image quality. The kit hardware includes all items required to interface with Jetson Orin carrier boards with a 22-pin MIPI CSI-2 input connector, including a camera board in an acrylic case and a flat flexible cable.

The Video4Linux2 (V4L2) driver for the THSCJ101 is also available to control various video functions. The performance of each kit is repeatable for use in high volume production due to our production process to characterise the image parameters of each image sensor and to calibrate the image signal processing to compensate for variation from sensor to sensor.
All technical information including the reference circuit schematics, ISP firmware, and V4L2 Driver are available to customers.

Also, for customers that require unique image performance features, THine can provide a GUI based software development tool that customises the ISP firmware and/or the image sensor selection. As a result, the THSCJ101 can accelerate NVIDIA Jetson Orin NX/Nano platform users’ time-to-market without expensive integration cost or additional effort for developing embedded camera systems.

THEIA-CAM is designed for embedded vision systems. Using and optimising THine’s own ISP, THine offers Best-in-Class image quality and high production quality suitable for any project phase from proof of concept to high volume production. THEIA-CAM supports various operating systems including Windows, macOS, Android, and Linux, and various platforms including Raspberry Pi, Jetson Orin, i.MX 8M families, and MediaTek Genio series. THEIA-CAM addresses wide-ranging camera applications including but not limited to AI + IoT devices, AR glasses, barcode reading devices, biometric devices, bodycams, document scanners, machine vision systems, medical scopes, microscopes, surveillance cameras, vision assistance glasses, and webcams. THSCU101, the first Kit in the family, is a 13MP PDAF USB video class (UVC) Camera

https://www.thinesolutions.com

> Read More

About Smart Cities

This news story is brought to you by smartcitieselectronics.com, the specialist site dedicated to delivering information about what’s new in the Smart City Electronics industry, with daily news updates, new products and industry news. To stay up-to-date, register to receive our weekly newsletters and keep yourself informed on the latest technology news and new products from around the globe. Simply click this link to register here: Smart Cities Registration