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Security IC using 28nm targets high volume payment systems

Wed, Nov 30, 2022

Believed to be the first 28nm-based security IC, the SLC26P targets high volume payment applications. based on the future-proof 28 nm technology node.

According to Ioannis Kabitoglou, head of digital security and identity, at Infineon, the use of 28nm technology represents the company’s long term commitment to the security IC market. It is planning for a fast ramp up of production Business Line of Infineon. It plans a fast ramp up in the first half of next year to relieve the semiconductor shortages currently experienced by the security IC sector.

The SLC26P is claimed to be the first security controller optimised for payments based on the 28nm technology. An EMVCo certification, for multi-vendor card transations, is expected to be available in December 2022.

The IC features Arm v8-M architecture optimised for deeply embedded systems and designed for low-latency processing.

Infineon and partner TSMC have developed the security IC products. Capacity issues at mature technologies like 90, 65 and 40nm have been a limiting factor for the strong demand in security applications, leading silicon foundries to build new capacity. The 28nm technology node for security ICs offers increased sourcing flexibility but also conrtributes to higher performance, more energy efficient and environmentally-friendly products for this segment, said Infineon.

The portfolio of products based on 28nm process technology is expected to meet demand for smart card and embedded security IC applications, such as payment and transportation, as well as identity and authentication, in the coming years.

Infineon plans to ramp up production in the first half of 2023. Samples based on SLC26P are available upon request.

Infineon will be at TRUSTECH (booth G035, 5.2) in Paris, Porte de Versailles, from 29 November until 1 December 2022. Experts will be available for discussions about Infineon’s security controller offering based on 28nm technology.

http://www.infineon.com

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Rohm eliminates cloud server with on-device learning edge AI chip

Wed, Nov 30, 2022

Artificial intelligence (AI) at the edge enables real-time failure prediction without requiring a cloud server, said Rohm Semiconductor at the launch of its on-device learning AI chip. This is an SoC with on-device learning AI accelerator for edge computer endpoints in the IoT. The chip uses AI to predict failures (known as predictive failure detection) in electronic devices which are equipped with motors and sensors. It does this in real-time with low power consumption, said Rohm.

Generally, AI chips perform learning and inferences to achieve AI functions. Learning requires that a large amount of data gets captured, compiled into a database and updated as needed, which means that the AI chip which is learning requires substantial computing power.

Based on an ‘on-device learning algorithm’ developed by Professor Matsutani of Keio University, Rohm has developed an AI chip which mainly consists of an AI accelerator (AI-dedicated hardware circuit) and Rohm’s high-efficiency, eight-bit CPU, the tinyMicon MatisseCORE.

Matisse is the micro arithmetic unit for tiny size sequencer. The tinyMicon MatisseCORE was developed specifically to make analogue ICs more intelligent for IoT ecosystem.

Combining the compact, 20,000-gate AI accelerator with a high performance CPU enables learning and inference with low power consumption of just a few tens of mW (1,000 times smaller than conventional AI chips capable of learning, said Rohm). This allows real-time failure prediction in a wide range of applications, since ‘anomaly detection results (anomaly score)’ can be output numerically for unknown input data at the site where equipment is installed without involving a cloud server.

An instruction set optimised for embedded applications and the latest compiler technology delivers fast arithmetic processing in a smaller chip area and program code size, explained Rohm. It is also feasible for high-reliability applications, such as those requiring qualification under the ISO 26262 and ASIL-D vehicle functional safety standards. The proprietary onboard real-time debugging function prevents the debugging process from interfering with program operation, allowing debugging to be performed while the application is running.

Rohm has announced plans to incorporate the AI accelerator in this AI chip into various IC products for motors and sensors. Commercialisation is scheduled to start in 2023, with mass production planned in 2024.

The AI chip was evaluated used an evaluation board equipped with Arduino-compatible terminals that can be fitted with an expansion sensor board for connecting to an MCU (Arduino). Wireless communication modules (Wi-Fi and Bluetooth) along with 64kbit EEPROM are mounted on the board. Connecting units such as sensors and attaching them to the target equipment it will be possible to verify the effects of the AI chip from a display, said Rohm.

This evaluation board will be available on loan from the company.

http://www.rohm.com

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RDS adds SBC based on AMD Ryzen Embedded V2000 processors

Wed, Nov 30, 2022

Designed and developed for industrial data processing, the de next-V2K8 is the latest single board computer (SBC) from Aaeon which has been added to the Review Display Systems (RDS) portfolio.

The compact, high-performance computing system has onboard processing power provided by AMD Ryzen Embedded V2000 Series processors.

The compact SBC has a footprint of 86 x 55mm. It can be used where data processing needs to be performed close to the source, for example in industrial applications, such as manufacturing automation, robotics systems and transportation.

The AMD-based de next-V2K8 provides two options using AMD Ryzen Embedded V2000 processors with integrated Radeon graphics, either the six-core V2516, and the eight-core V2718. The V2516 has a base frequency of 2.1GHz and a turbo frequency of 3.95GHz, while the V2718 operates at 1.7GHz and in bursts at 4.15GHz. Both processors support hyperthreading and have a thermal design power (TDP) range of 10 to 25W.

The de next-V2K8 supports up to 16Gbyte onboard LPDDR4x 3200 memory and has extensive I/O and expansion options, said RDS. It is designed to enable a high-speed data communications platform with two RJ45 ethernet ports, two USB 3.2 Gen2 and four USB 2.0 slots, together with support for two simultaneous display interfaces with HDMI 1.4b at 1080p resolution, an embedded DisplayPort (eDP) supporting 4K resolution, and a +12v DC power jack.

Aaeon’s de next-V2K8 single board computer is available now from Review Display Systems.

Established in 1982, RDS is experienced in supporting and supplying display and embedded hardware solutions. It represents global manufacturers and supports a comprehensive range of display technologies, touch screen and embedded computing solutions.

Review Display Systems engages and develops partnerships with customers in a wide range of industry sectors including industrial control and instrumentation, medical devices, facilities management, marine, aerospace, point-of-information, and process control.

The company is committed to environmental responsibility and quality and is accredited to the latest internationally recognised quality standards including ISO14001, ISO9001-2015 and ISO13485:2016 for the design and manufacture of medical devices.

http://www.review-displays.co.uk

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Proximity sensors save light energy in buildings and IT

Sun, Nov 27, 2022

Ultra-wideband (UWB) proximity sensors by Novelda save power in building lighting systems, and computers, smart appliances, chargers, smart locks, by only activating lights, LCD screens or any other enabled devices when users are present. The proximity sensor powers them down again as soon as users leave the detection zone.

The proximity sensor can extend LCD screen life from two to 10 years, lowering operational costs and enhancing sustainability through energy savings, the company says. The occupancy sensor features a configurable timeout of two minutes, reduced from the 15 minute timeout of competing lighting products, which offers significant energy savings while being able to detect occupants even when they are sitting still. It turns lights off soon after occupants leave the detection zone.

The sensor can enhance LCD screen lifetime, increases interactivity and gives devices an automated, power-saving mechanism. Its approach detection feature lights the display immediately upon approach, uses contextual awareness to inform the device of intended use and turns it off automatically once a person leaves the detection zone.

The sensor offers absolute range and a wide field of view. It is user configurable for both distance and sensitivity. The zone of interest (detection) can be adjusted from 0.5 meters to 1.5 meters, making the sensor suitable for close range indoor applications.

Latency is less than 0.25 seconds for device activation or deactivation. The radar sensors and SoC measure 12 x 12mm, for unobtrusive use in small enclosures in end products.

The proximity sensor can be used to extend the screen life of advertising signage, vending machines or smart home appliances by a factor of five, says Novelda, i.e. from two to 10 years in high end LCD displays. The sensors also enable these products to be more environmentally friendly by powering down when the product is not in use.

The UWB poximity sensor enables faster wake-up time from low power state when the device is inactive, initiating wake-up from the moment a person is ready to use the device. The sensor also ensures and monitors product usage of process critical equipment, like in automated hand sanitisers.

UWB sensing outperforms technologies like passive infrared or time of flight sensors in terms of accuracy, robustness, cost, power consumption and security. Novelda says its UWB wireless sensors function efficiently without interference in the proximity of other radio frequency (RF) devices.

Demo kits for the Novelda UWB proximity sensor are available upon request.

https://novelda.com/

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Security IC using 28nm targets high volume payment systems

Rohm eliminates cloud server with on-device learning edge AI chip

RDS adds SBC based on AMD Ryzen Embedded V2000 processors

Proximity sensors save light energy in buildings and IT

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