Low power microcontroller duo extends battery-powered sensors and wearables

Two microcontrollers from Maxim Integrated, the MAX32660 and MAX32652 are based on the low-power Arm Cortex-M4F. They are suitable for wearable sensors and battery-powered applications such as IoT sensors, environmental sensors, smartwatches, medical/preventive health wearables, and other size-constrained devices.

The MAX32660 and MAX32652 microcontrollers provide designers with the means to develop advanced applications under restrictive power constraints, says the company. Maxim’s family of Darwin microcontrollers combine its wearable-grade power technology with the biggest embedded memories in their class and what the company claims is some of the most advanced embedded security in the world.

The MAX32660 is characterised by powerful processing in a tiny form factor. Memory, size, power consumption, and processing power are critical features for engineers designing complex algorithms for smarter IoT applications. Existing solutions either have sufficient power consumption but limited processing and memory capabilities, or if they have higher power consumption there are more powerful processors and more memory. The MAX32660 offers designers access to enough memory to run some advanced algorithms and manage sensors (256kbyte flash and 96kbyte SRAM). They also offer power performance down to 50-microW/MHz), and a small form factor of 1.6 x 1.6mm in a WLP. They are also available at a cost-effective price point, adds Maxim, enabling engineers to build more intelligent sensors and systems that are smaller and lower in cost, while also providing a longer battery life.

The MAX32652 is a low power microcontroller with scalable memory. As IoT devices become more intelligent, they require more memory and additional embedded processors which can each be expensive and power-hungry, explains Maxim. The MAX32652 offers an alternative for designers with the low power consumption of an embedded microcontroller with the capabilities of a higher powered applications processor. With 3Mbyte flash and 1Mbyte SRAM integrated on-chip and running up to 120MHz, the MAX32652 can be used in IoT devices that strive to do more processing and provide more intelligence. Integrated high-speed peripherals such as high-speed USB 2.0, secure digital (SD) card controller, a thin-film transistor (TFT) display controller, and a security engine position are integrated. With the added capability to run from external memories over HyperBus or XcellaBus, the MAX32652 can be designed to do even more tomorrow, providing designers a future-proof memory architecture and anticipating the increasing demands of smart devices, Maxim believes.  

MAX32660EVKIT# and MAX32652EVKIT# evaluation kits are also both available via Maxim’s website.

http://www.maximintegrated.com.

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Low dropout voltage regulator packs performance into small footprint

Trade-offs between quiescent current, output power, dynamic response, and package size are relieved, says STMicroelectronics at the launch of its STLQ020 low dropout (LDO) voltage regulator.

By combining small size with high performance and energy efficiency, the STLQ020 is particularly suitable for use in battery-powered consumer products like smartphones and tablets, smart watches, audio or media devices, and wearables. It helps extend battery life in IoT endpoints such as smart meters and wireless sensors, healthcare devices like wearable monitors, and industrial applications such as factory automation or sensor networking.

Drawing just 300nA quiescent current (Iq), and capable of supplying up to 200mA to the load, power-supply rejection (PSRR), and transient response, the STLQ020 is available in a choice of compact packages which can be as small as a 0.8 x 0.8mm flip-chip4.

The STLQ020’s dedicated low-power design and adaptive bias circuitry is claimed to ensure fast response and a stable output with high PSRR. In addition, dropout voltage as low as 160mV (typical) at maximum load allows longer equipment runtimes as the battery discharges. The 5nA logic-controlled shutdown mode allows the STLQ020 to extend the interval between coin-cell replacements in low-duty-cycle applications, like remote sensors.

With an input voltage range of 2.0 to 5.5V, the STLQ020 can be powered directly from a suitable battery voltage (VBAT) or logic rail. The output voltage can be set between 0.8 and 4.5V, with either fixed-output or adjustable-output versions available. The fixed output voltages are selectable in 50mV increments.

The STLQ020 is in production now, and available as a 2.0 x 2.0mm DFN6, 0.8 x 0.8mm flip-chip4, or 2.1 x 2.0mm SOT323-5L.

A quad-LDO evaluation board (STEVAL-LDO001V1) based on STLQ020 and three other low-dropout (LDO) voltage regulators are available to order.

http://www.st.com

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Software brings Amazon Alexa to connected objects

The X-Cube-AVS software package from STMicroelectronics enables Amazon’s Alexa Voice Service (AVS) to run on STM32 microcontrollers This means, simple connected objects such as smart appliances, home-automation devices, and office products, can support advanced conversational user interfaces with Cloud-based intelligence like automatic speech recognition and natural-language understanding.

The expansion package for the STM32Cube software platform, X-Cube-AVS contains ready-to-use libraries and open routines that accelerate porting the AVS software development kit (SDK) to the microcontroller. Application samples are also included. The software abstracts developers from the complex software layers needed to host AVS on an embedded device. STMicroelectronics claims that this is the first package to cater specifically for microcontrollers. In contrast, AVS development usually targets more power-hungry and expensive microprocessors. As a result, X-Cube-AVS makes Alexa technology accessible to a wider spectrum of developers and projects, says STMicroelectronics.

The software handles low-layer communication and connection to AVS servers. It provides application-specific services, and encapsulates the AVS protocol to ease application implementation. Connection management includes a persistent-token mechanism for directly restoring connection losses without repeated user authentication. A software test harness is for endurance testing, which can simulate events such as network disconnection to facilitate robustness testing and validation of the user application.

X-Cube-AVS comes with a demonstration example for the STM32F769 Discovery kit which shows how to connect a simple smart-speaker to AVS, leveraging the board-configuration interface included in the software. X-Cube-AVS can be used with other STM32F7 microcontrollers, or any STM32 device with adequate CPU performance and memory to run the AVS SDK.

X-Cube-AVS is available now to download, free of charge, from the STMicroelectronics website.

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ImageFlex 2.0 speeds development of autonomous vehicles

Abaco Systems has announced Release 2.0 of its ImageFlex  image processing and visualisation toolkit at this week’s GPU Technology Conference (GTC).

ImageFlex leverages the power of GPU technology to provide an easy-to-use application processor interface (API) framework to speed and simplify the development, optimisation and maintenance of advanced artificial intelligence (AI) applications, says Abaco Systems, especially those targeted at autonomous vehicles.

ImageFlex enables developers of image/video processing and visualisation applications on graphic processor units (GPUs) to be more productive by hiding the complexity of the underlying software layers, while maintaining high performance, explains Abaco Systems. By providing an OpenGL abstraction layer (no OpenGL experience is required) it can reduce the number of lines of code required by a factor of five. According to Abaco, this radically reduces the effort and time needed to create, test and maintain the application. This means faster time-to-market as well as lower development cost, adds Abaco Systems.

New features for ImageFlex Release 2.0 include tools and reference examples enabling AI-based applications to be deployed on Abaco’s Nvidia-based GPU products. There is also the provision of a reference target tracking example – a core building block for tracking applications and high quality, GPU-optimised image stabilisation.

ImageFlex is complementary to Abaco’s Nvidia GPU-based GVC1000 and GVC2000 hardware platforms, which use the Nvidia Jetson supercomputer on a module for AI computing at the edge. Degraded Visual Environment (DVE), 360° situational awareness, helmet mount sight processing, target identification and tracking and other EO/IR processing applications can therefore be developed. It is portable across a range of graphics processing architectures and operating systems, and is potentially safety certifiable, adds Abaco Systems.

The ImageFlex API provides for a range of image processing operations from simple image transformations through to more complex lens distortion correction and image morphing. It includes optimised, high quality image fusion, stabilistion, tracking and distortion correction algorithms, as well as a comprehensive set of reference application examples that provide core software building blocks. ImageFlex also provides tools and reference examples demonstrating how to integrate with sensors and deploy AI-based applications such as object detection and recognition.

ImageFlex provides an image fusion function that can fuse image data from multiple sources of different resolutions. The algorithm adaptively adjusts to pull through the regions of highest contrast in each source to a produce a fused result, enabling an observer or processing stage to act on the combined information of the sources.

http://www.abaco.com

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