Industrial RFID tagging increases sensitivity and memory to diversify

In comparison to the earlier memory ICs produced by NXP, the UCODE 9xm has three times the sensitivity. It also has customer-configurable memory options, enabling more diverse objects to be tagged. Use in industrial tagging, it delivers an accurate picture of the supply chain, said NXP.

The IC is designed to improve overall system reliability and accuracy, said NXP, and enables customers to use smaller tag antennas, allowing smaller objects to be individually tagged and incorporated into smart manufacturing processes, supply chain management and tracking applications.  The tag can be used on a variety of object types, delivering a more complete view of the supply chain.

RAIN RFID tagging has become a crucial component for automated industrial processes but tags with the memory needed to support these processes often do not deliver the same read and write performance as lower memory devices, making it difficult to tag all necessary items, reducing system efficiency. UCODE 9xm combines flexible, high capacity memory options with advanced read and write performance to increase overall system performance.

From smart manufacturing to supply chain management, industrial environments require complex process flows and advanced automation, explained Ralf Kodritsch, senior director, UCODE, NXP. He said that the UCODE 9xm can streamline these processes by making it easier to individually track the products and tools involved. 

UCODE 9xm has a read sensitivity of around -24dBm and a write sensitivity of about -22dBm makes tag encoding faster.

It also has a total of 880bits of memory space shared between the EPC and user memory banks, with three flexible memory configurations, selectable by the customer based on their use case, that offer up to 496 bits of EPC (electronic product code) memory and up to 752 bits of user memory, to store manufacturing data such as lot number, production date or process parameters. A single IC can also be used to fulfill a number of different use cases.

A memory safeguard protects data and ensure accuracy, including an error correction code (ECC) algorithm and parity checks. Integrated BlockPermalock protects sections of data from change, while still allowing other sections to be added, edited or deleted. Independent access and kill passwords provide additional data security, preventing unauthorised users from erroneous or malicious actions.

The UCODE 9xm is available now. 

http://www.nxp.com

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RISC-V ASSP adds voice control 

Developed in partnership with RISC-V ecosystem partners, the R9A06G150, 32bit ASSP is claimed to be the first RISC-V microcontroller designed for voice-controlled HMI (human-machine interface) systems. 

It provides a cost-effective, production-ready voice control system that eliminates the need for RISC-V tools and upfront software investment.

The ASSP can be designed into devices used in residential and commercial building automation, home appliances, toys and healthcare devices. It supports multiple languages and user-defined keywords for voice recognition. The R9A06G150 is pre-programmed using specialised application code developed by independent design houses, added Renesas.

The R9A06G150 voice-control HMI ASSP is based on RISC-V processing IP from Andes Technology which incorporated its AndesCore D25F CPU core based on the AndeStar V5 architecture. “The 32-bit AndesCore D25F was engineered to deliver high per-MHz performance in a small silicon footprint,” explained Frankwell Lin, Andes’ chairman and CEO. 

Renesas will deliver the first RISC-V voice-control ASSP pre-programmed with dedicated application code developed by Cyberon, an independent design house, specialising in voice-recognition technology, and Orbstar, a systems integrator specialising in embedded solutions Segger Microcontroller’s ecosystem, including Embedded Studio and J-Link will provide support for the voice-control ASSP. 

The R9A06G150 voice control HMI ASSP features a 100MHz CPU with DSP instructions and floating-point extension. Low active current, reduced standby current, background operation, SRAM power-off choices, fast wakeup and low power timers contribute to low energy consumption. The ASSP is controlled by external host I/F via SCI/Uart, SPI, I3C or I2C.

It also features 256kbyte, 128kbyte RAM and 16kbyte data flash memory. There is also a QSPI (queued serial peripheral interface) for memory expansion.

The R9A06G150 32-bit MCU voice-control HMI ASSP is available now in a 24-, 32- or 48-lead HWQFN package.  

Renesas also offers a reference kit for the ASSP, which includes hardware, software, tools, hardware/software datasheets, GUI manual and app notes.

http://www.renesas.com

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Full stack, AI-driven EDA suite designs, verifies, tests and manufactures AI chips

At this year’s Synopsys Users Group (SNUG) Silicon Valley Conference, Synopsys, launched Synopsys.ai, a suite of AI-driven solutions for the design, verification, testing and manufacturing of advanced digital and analogue chips. Engineers can now use AI at every stage of chip design, said Synopsys, from system architecture to design and manufacturing and access the solutions in the cloud. 

The Synopsys.ai EDA suite includes AI-driven tools. One is digital design space optimisation to achieve power, performance and area (PPA) targets which boosts productivity.

There is also analogue design automation for the rapid migration of analogue designs across process nodes.

Verification coverage closure and regression analysis is also in the suite, providing  faster functional testing closure, higher coverage and predictive bug detection, said Synopsys.

There is also automated test generation resulting in fewer, optimised test patterns for silicon defect coverage and faster time to results.

For manufacturing, there are tools to accelerate the development of lithography models with high accuracy to achieve the highest yield.

“Increased complexity, engineering resource constraints and tighter delivery windows were challenges crying out for a full AI-driven EDA software stack from architectural exploration to design and manufacturing,” said Shankar Krishnamoorthy, general manager of Synopsys EDA group. 

“With Synopsys.ai solutions, our customers’ ability to search design solution spaces across multiple domains is in hyperdrive,” he added.

The AI-driven EDA design suite is being used by Renesas, which achieved a 10 fold improvement in reducing functional coverage holes and up to 30 per cent increase in IP verification productivity.

Renesas, a leader in the automotive space, is already using Synopsys.ai to shave weeks off product development times with enhanced silicon performance and cost reduction. Nvidia, TSMC, IBM and MediaTek all support the AI-driven EDA design strategy.

Synopsys describes itself as the Silicon to Software partner for companies developing the electronic products and software applications. It is an S&P 500 company, with a long history of electronic design automation (EDA) and semiconductor IP and says it offers the industry’s broadest portfolio of application security testing tools and services for SoC designers creating advanced semiconductors and software developers writing more secure, high-quality code.

http://www.synopsys.com

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Arduino Uno R4 uses 32bit microcontroller to boost performance

The latest addition to Arduino’s Uno family, the Uno R4 is available in two versions, the Uno R4 WiFi and UnoR4 Minima. The Uno R4 WiFi features Wi-Fi and Bluetooth Low Energy connectivity and the UNO R4 Minima provides a cost-effective option for those seeking the new microcontroller without additional features. 

The Uno R4 is powered by the Renesas RA4M1 32-bit microcontroller based on the Arm Cortex-M4 core. This, said Arduino, provides “a significant boost” in processing power, memory and functionality, compared to the Uno R3, which will not be discontinued, confirmed Arduino. 

The WiFi version comes with an Espressif S3 WiFi module.

The R4 maintains the same form factor, shield compatibility and 5V operating voltage as the R3. Arduino confirmed software compatibility, adding most existing libraries and examples work seamlessly on the R4. Some libraries that were previously optimised for the AVR architecture in R3 may require porting to the new Renesas architecture, advised Arduino.

Support for other Renesas microcontrollers, such as the RL78/G22 and G23, has also been added to the Arduino IDE (integrated development environment).

“We are honoured to collaborate with Arduino on their iconic Uno product line,” said Chris Allexandre, senior vice president, CSMO and head of global sales and marketing at Renesas. “Despite the challenges of this intricate project with a rich legacy, our 5V 32-bit Arm Cortex M4-based microcontrollers . . . . [offer] enhanced performance and resources to unlock endless potential for makers worldwide”. 

“We believe that even iconic products must evolve to keep up with the ever-changing needs of our community and technological advancements. While maintaining the Uno R3 in our product line up, we collaborated closely with our partners Renesas and Espressif to create the most compatible and powerful maker board on the market,” says Fabio Violante, CEO at Arduino. 

The Arduino Uno R4, featuring the Renesas RA4M1 (Arm Cortex-M4) running at 48MHz, boasts a three-fold performance increase over the Uno R3. SRAM has been upgraded from 2kbyte to 32kbyte and flash memory has increased from 32kbyte to 256kbyte to support increasingly complex projects. The company has also listened to community feedback, changing the USB port to a USB-C port and raising the maximum power supply voltage to 24V with an enhanced thermal design. The board includes a CAN bus and an SPI port, enabling users to reduce wiring and perform parallel tasks by connecting multiple shields. A 12-bit DAC is also on the new board.

To assist with any software transition, Arduino will provide a public list of such libraries, along with links to alternative options. To encourage library developers to port their low-level code to the Renesas architecture, an early adopter program has been launched.

The Arduino UNO R4 is set for release in late May.

Open-source hardware and software company, Arduino, provides an easy-to-use platform for interactive projects. With approximately 30 million active users, the Arduino community has expanded into IoT, wearables, 3D printing, and embedded environments.

https://www.arduino.cc 

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