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Microchip offloads tasks to hardware to accelerate design

Thu, Feb 13, 2020

More Core Independent Peripherals are combined in the latest PIC microcontroller family from Microchip. The PIC18-Q43 family moves software tasks to hardware for a faster system response. Microchip has also introduced a development tool ecosystem for real-time control and connectivity design projects.

Microchip’s PIC18-Q43 family’s peripherals are configurable and to allow near-zero latency sharing of data, logic inputs or analogue signals without additional code for improved system response. The PIC microcontroller family can be used to create custom hardware-based functions in real-time control and connected applications, including home appliances, security systems, motor and industrial control, lighting and the IoT. According to Microchip, the PIC18-Q43 family helps reduce board space, bill of materials (BoM), overall costs and time to market.

Core Independent Peripherals (CIPs) are designed with additional capabilities to handle a variety of tasks without the need for intervention from the central processing unit (CPU). CIPs include timers, simplified pulse width modulation (PWM) output, configurable logic cells (CLCs), ADCs with computation (ADCC) and multiple serial communications, designed for developers to customise a specific design configuration. The CLC provides programmable logic that operates outside the speed limitations of software execution, so that customers can tailor functions such as waveform generation or timing measurements. CLCs connect on-chip peripherals for hardware customisation and allow developers to customise a device with core-independent communication interfaces, including UART, SPI and I2C. Multiple DMA channels and interrupt management have been added to accelerate real-time control with simplified software loops.

The PIC18-Q43 family operates up to 5.0V which increases noise immunity and enables customers to interface to a wide range of sensors.

Microchip’s development tool suite has been created to offer users the means to quickly and easily generate application code and customise combinations of CIPs in a graphical user interface (GUI) environment.

The PIC18-Q43 family is supported by Microchip’s MPLAB X IDE and MPLAB Xpress IDE development environments, and MPLAB Code Configurator (MCC) a free software plug-in that provides a graphical interface to configure peripherals and functions specific to an application. There is also the PIC18F57Q43 Curiosity Nano development board which has programming and debugging capabilities.

http://www.microchip.com

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Skyworks to support Wi-Fi 6E

Thu, Feb 13, 2020

Working with the Wi-Fi Alliance, Skyworks Solutions is developing future-proof connectivity and supporting the Alliance’s next-generation wireless technologies.

Skyworks addresses all existing Wi-Fi standards and is working within the Wi-Fi Alliance to develop its Wi-Fi 6E products that operate in the 5.925 to 7.125GHz frequency range.

Demand for high data applications such as streaming media/TV/audio, social media and smart home devices, has led to calls to open up additional frequency bands to complement the existing 2.4 and 5GHz bands. This new spectrum is expected to be made available by regulators around the world and it represents an opportunity to deliver the benefits of Wi-Fi 6 coupled with increased bandwidth available in the new 6GHz band.

“The 6GHz band addresses the growing need for Wi-Fi spectrum capacity to ensure users continue to experience reliable and seamless connectivity,” said Kevin Robinson, senior vice president of Marketing, at the Wi-Fi Alliance. “We are glad to see Wi-Fi Alliance members working closely in Wi-Fi Alliance to ensure that new products meet high standards for interoperability and security.”

Dave Stasey, vice president and general manager of diversified analogue solutions for Skyworks, added: “We look forward to . . . providing the highest performance solutions for our OEM customers which deliver maximum Wi-Fi range and speeds.”

Skyworks’ powerful modules facilitate Wi-Fi functionality with best-in-class linearity and performance in the smallest footprint available, explains the company. By incorporating the required functionality to deliver maximum performance, products reduce time to market in this sensitive arena. They contain a logarithmic power detector to support wide dynamic ranges, low power consumption and improved thermal management.

Skyworks Solutions specialises in analogue semiconductors for a wireless networking revolution. Its semiconductors connect people, places and things within the aerospace, automotive, broadband, cellular infrastructure, connected home, industrial, medical, military, smartphone, tablet and wearable markets.

Skyworks has engineering, marketing, operations, sales and support facilities located throughout Asia, Europe and North America.

http://www.skyworksinc.com

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Analog Devices and Jungo monitor vehicle safety

Thu, Feb 13, 2020

Analog Devices will develop a time-of-flight (ToF) and 2D infra red (IR) –based camera, using Jungo’s Co-driver software to enable driver and in-cabin monitoring in vehicles.

The system will monitor vehicle occupants for levels of drowsiness and distraction by observing head and body position as well as eye gaze. It is also expected to enable smart vehicle interaction based on face, body, and hand gestures and offer a facial recognition capability that identifies individuals and gives them access to features such as infotainment personalisation, personalised services, and ridesharing payments.

3D ToF is a type of scannerless light detection and ranging (lidar) that uses high power optical pulses in durations of nanoseconds to capture depth information (typically over short distances) from a scene of interest. Analog Devices specialises in products and solutions that enhance the capabilities of 3D ToF systems, including processing, laser drivers and power management, development boards and software/firmware to implement 3D ToF solutions.

Jungo’s Co-driver software uses deep learning, machine learning, and computer vision algorithms to detect, in real-time, the head and body position of the driver from cameras. It also supports in-vehicle full detection technology with functions such as counting of the number of occupants, detection of seat belt wearing or detection or observing of critical medical conditions.

“Jungo’s Co-driver monitoring algorithms are used by original equipment manufacturers (OEMs) to keep their drivers and passengers safe and develop innovative use cases that understand an occupant’s state while in the vehicle,” said Ophir Herbst, CEO, Jungo. “We are delighted to collaborate with Analog Devices to make vehicles smarter and enable OEMs to comply with regulations and innovate in their next-generation vehicles by using our algorithms and ADI’s leading ToF technology.”

Jungo Connectivity was founded in 2013 as an automotive software divestiture from Cisco Systems. The company focuses on in-cabin driver monitoring.

http://www.analog.com

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XMOS claims to lower AI cost and raise the performance bar

Thu, Feb 13, 2020

Artificial intelligence (AI), digital signal processing (DSP), control and I/O are delivered in a single device, the xcoer.ai, which XMOS claims is the world’s lowest cost, most flexible AI processor.

Single device prices for the xcore.ai crossover processor start from $1.It is architected to deliver real-time inferencing and decision making at the edge, as well as signal processing, control and communications. It can be used by electronics manufacturers to integrate high-performance processing and intelligence economically into products.

According to XMOS, xcore.ai is a new generation of embedded platform. It has fast processing and neural network capabilities to enable data to be processed locally and actions taken on-device within nanoseconds. It can interpret data without communication with the cloud and delivers the performance of an applications processor with the ease-of-use of a microcontroller, enabling embedded software engineers to deploy every different class of processing workload on a single multi-core crossover processor, says XMOS.

For example, an xcore.ai embedded smoke detector can build an intelligent picture of an emergency which can be fed directly to emergency services to improve accuracy and speed of response. For example, a smoke detector could use radar and imaging to identify whether there are people in a building and, if so, determine how many, where they are located and use voice interfaces to communicate with those inside, while vital sign detection could identify whether they are breathing.

It is fully programmable in C, with specific features such as DSP and machine learning accessible through optimised c-libraries. It supports the FreeRTOS real-time operating system and the TensorFlow Lite to xcore.ai converter, allows easy prototyping and deployment of neural network models.

For connectivity, there are up to 128 pins of flexible IO (programmable in software) and integrated hardware USB 2.0 PHY and MIPI interfaces for collection and processing of data from sensors.

The xcore.ai employs deep neural networks using binary values for activations and weights instead of full precision values, dramatically reducing execution time.

By using binary neural networks, xcore.ai delivers 2.6 to four times more efficiency than its eight-bit counterpart, XMOS reports.

Product demos of the xcore.ai will be available from June 2020.

http://www.xmos.com

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Microchip offloads tasks to hardware to accelerate design

Skyworks to support Wi-Fi 6E

Analog Devices and Jungo monitor vehicle safety

XMOS claims to lower AI cost and raise the performance bar

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