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SoC can support the Bluetooth LE spectrum, says Infineon

Wed, Jan 05, 2022

The Airoc CYW20829 Bluetooth LE (low energy) SoC is a Bluetooth 5.3 core spec-compliant device for IoT, smart home and industrial applications, introduced by Infineon. It is designed to support Bluetooth LE use cases for home automation, sensors, lighting, Bluetooth Mesh, remote controls and any other Bluetooth LE-connected IoT application, says the company.

The SoC has efficient peripheral design, low leakage silicon with scalable and efficient MIPS, and a low power Bluetooth radio, said Sonal Chandrasekharan, vice president of the Bluetooth product line at Infineon. It is claimed to offer superior RF performance for reliable, robust connections, he added.

The Airoc CYW20829 integrates a power amplifier with 10dBm of transmit output power and has receive sensitivity of -98.5 dBm for LE and -106 dBm for LE-LR 125kbits per second, making it the best link budget in Infineon’s Airoc Bluetooth portfolio. The RF performance offers reliable, robust connectivity without compromising low power, says the company, making the SoC suitable for a range of applications in smart home, smart building, medical, industrial, mesh and human interface devices (e.g., keyboard, mouse, remote control).

The CYW20829 is the first Infineon Airoc Bluetooth SoC to use the Arm Cortex M33. The Bluetooth LE sub system includes an optimised radio and an Arm Cortex M33 core as the Bluetooth controller. A second Arm Cortex M33 with a floating point unit can be clocked up to 96MHz to provide high performance compute at low power.

The application sub system has configurable serial communication blocks that can be turned into UART, I2C or SPI as needed. It also has multiple timer / counter pulse-width modulators, I2S, PDM, CAN and LIN interfaces. For security, there is a ROM-based root of trust, a TRNG, eFuse for custom keys and cryptography acceleration. The SoC also supports XIP from external flash and encryption on the fly for content on the flash.

The AIROC CYW20829 is supported by ModusToolbox – a collection of software and tools for the development of Bluetooth-enabled IoT designs.

The Airoc CYW20829 Bluetooth LE SoC is currently sampling to select customers.

http://www.infineon.com

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High resolution radar sensor monitors vehicle’s blind spots

Wed, Jan 05, 2022

Using a Doppler division multiple access (DDMA)-based signal processing method, the AWR2944 radar sensor can help automotive makers implement systems that can detect vehicles further away than is possible today. The 77GHz sensor has been announced by Texas Instruments and is supplied in a small form factor which it claims is approximately 30 per cent smaller compared to radar sensors today.

The AWR2944 sensor integrates a fourth transmitter to provide 33 per cent higher resolution than existing radar sensors, enabling vehicles to detect obstacles more clearly and avoid collisions. The DDMA signal processing improves the ability to sense oncoming vehicles at distances up to 40 per cent farther away than is currently possible.

The high resolution radar sensor will enable driver assistance technology to more accurately monitor blind spots and efficiently navigate turns and corners to safely avoid collisions for improved advanced driver assistance systems (ADAS), says the company.

According to the Federal Highway Administration, more than half of fatal and injury crashes occur at or near intersections or junctions. Texas Instruments says that the AWR2944 radar sensor can help vehicle manufacturers meet new safety regulations, enabling vehicles to detect obstacles more clearly to avoid collisions.

“Visibility around corners has historically been challenging for autonomous and semiautonomous vehicles,” concedes Curt Moore, manager for Jacinto processors at TI. “For automated parking and driving, being able to see farther with devices like the AWR2944 sensor – and then seamlessly process that data with our Jacinto processors – leads to improved awareness and safety,” he believes.

The AWR2944 and an AWR2944 evaluation module (AWR2944EVM) are available now.

Texas Instruments (TI) designs, manufactures, tests and sells analogue and embedded processing chips for markets such as industrial, automotive, personal electronics, communications equipment and enterprise systems.

http://www.TI.com

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CES is a showcase for Gigabyte’s embedded design support

Tue, Jan 04, 2022

Edge servers, advanced driver assistance systems (ADAS) as well as motherboards for embedded systems available from Gigabyte, will be highlighted at this week’s CES in Las Vegas.

Its high-density edge servers are based on Arm architecture and Ampere’s 80 / 128- core CPU. They provide the performance, storage, network, and above all, the flexibility to be deployed at more challenging locations and limited spaces, says Gigabyte, which is increasing commonplace as processing work needs to be done on-site.

The speed of the 5G network will allow smart cities to use AI applications, for example transportation systems where edge computers can enhance the communications between devices to ensure traffic flows smoother. Gigabyte says its expertise for embedded computers allow it to have a clear vision of how to implement devices that can work in outdoor environments with stable functionality. These embedded computers come with GPU expandability to meet the needs of edge computing, and rich I/O interface designs to allow system developers to integrate multiple systems on a single platform, therefore developing applications such as licence plate recognition, real-time analytics, smart utility poles and smart traffic management.

Gigabyte also specialises in developing decision-making control units for different types of autonomous vehicles, as well as customised products such as ADAS engine control units (ECUs). The Gigabyte Pilot product series supports GPU and VPU acceleration modules, which combine various algorithms to provide precise object detection, decision-making and vehicle control capabilities. Products in the series are also equipped with high speed transmission interfaces which can be connected to a range of sensing devices to collect and transmit data in real time.

Gigabyte and MyelinTek have developed a deep learning system called MLSteam, which includes optimised AI software stacking and comprehensive management tools such as resource, container and model management. MLSteam makes it easier for scientists to train and develop AI integration for autonomous vehicles and can make traffic management systems smarter, safer, and more collaborative, says Gigabyte.

The company’s latest embedded computing products feature a series of industrial motherboards and systems powered by Intel’s 11th generation processors. They are intended for factory automation, industry 4.0, smart retail, IoT and edge computing and are characterised by low power consumption. Examples of use are automated guided vehicles, which can be programmed to manoeuvre along designated routes, detect and avoid obstacles through navigation, and also industrial automation security systems.

AI has also been integrated for visual recognition to upgrade digital signage to detect users’ gender, age to improve retail experiences. Restaurants and delivery services can use electronic control units for smart delivery services, using autonomous vehicles. AI and IoT can also be used to automate the operation and management of public spaces rentals for office, conference, dining and parties.

The Z690 and Aero motherboards will also be highlighted at CES.

https://www.gigabyte.com

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E-con Systems bases UVC camera on onsemi CMOS image sensor

Tue, Jan 04, 2022

An 8M pixel USB 3.1 colour high dynamic range (HDR) camera, developed by E-con Systems is based on onsemi’s AR0821 CMOS image sensor, with integral image signal processor (ISP).

The See3CAM_CU81, 8M pixel, fixed focus UVC (USB video class) -compliant USB 3.1 camera can capture images in various lighting conditions. The USB 3.1 interface streams Full HD at 60 frames per second and 4K at 30 frames per second in linear mode and 4K at 30 frames per second in HDR mode, while UVC-compliance means no additional drivers are required for Windows and Linux operating systems.

The 4K camera’s HDR capability uses multiple exposures in a single frame to bring out details in the brightest as well as darkest areas of the same scene in high-contrast lighting conditions.

The See3CAM_CU81 has an inbuilt ISP that performs the auto functions, i.e., auto white balance, auto exposure.

High signal to noise ratio helps the camera to produce videos and images with low noise even in poor lighting conditions, says E-con Systems. The camera also has an M12 (S-mount) lens which allows customers to choose the lens of choice according to application needs.

In addition to HDR and 4K ultra-HD resolution, the See3CAM_CU81 has large pixel size and high signal to noise ratio (SNR), making it suitable for applications that require big data analytics, such as digital signage, biometric and access control, sports broadcasting and analytics, smart surveillance and smart traffic management.

See3CAM_CU81 is a ready-to-manufacture camera board, complete with all the necessary firmware and is compatible with the USB Video Class (UVC) version 1.0 standard. The camera board will work with the standard drivers available in Windows and Linux OS without any additional driver installation, says E-con Systems.

The camera is exposed as DirectShow capture source to Windows PC. E-con Systems provides a sample DirectShow application, called e-CAMView for video streaming and still capturing from the USB camera device with a graphical user interface (GUI). In Linux, See3CAM_CU81 is exposed as a V4L2 camera and E-con Systems provides a sample application called QtCAM for streaming.

Customers can also develop customised applications for See3CAM_CU81 using standard V4L2 APIs. The e-CAMView and QtCAM applications enable controls such as brightness, contrast, sharpness, saturation, gamma, gain, exposure (manual and auto), and white balance (manual and auto).

http://www.e-consystems.com

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SoC can support the Bluetooth LE spectrum, says Infineon

High resolution radar sensor monitors vehicle’s blind spots

CES is a showcase for Gigabyte’s embedded design support

E-con Systems bases UVC camera on onsemi CMOS image sensor

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