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Advantech’s edge computer is based on Nvidia L4 GPU for industrial AI

Mon, May 15, 2023

The MIC-770 V3 has been developed by Advantech with the Nvidia L4 Tensor Core GPU as a compact, modular, industrial computer for factory automation, autonomous vehicles and automated optical inspection.

The modular industrial PC with MIC-75M20 expansion i-Module is compatible with the Nvidia L4 Tensor Core GPU which has 7,424 CUDA cores and 24Gbyte GDDR6 GPU memory. In addition it delivers 30.3TFLOs and consumes only 72W of power. The compact, scalable PC design, paired with the efficiency of the Nvidia L4 GPU can exploit AIoT (artificial intelligence of things) for diverse deep learning and edge inference applications in factory automation, autonomous vehicles, automated optical inspection (AOI) and AI prediction in medical equipment, as well as smart city video surveillance and transportation.

Other features include the use of 12th Gen Intel Core i9 / i7 / i5 / i3 processors (LGA 1700) and support for Advantech’s iBMC 1.2 remote management on WISE-DeviceOn.

The MIC-770 V3 is designed as an open source x86 platform capable of enabling the quick development of GPU-accelerated solutions. It uses MIC-75M20, a two-slot expansion i-Module, to create an integrated PC that is compatible with the Nvidia L4 Tensor Core GPU for AI-based edge computing and inference. It delivers energy-efficient universal acceleration for AI inference, video, and graphics applications and is suitable for global deployment in enterprise, cloud, and edge applications with limited space.

The MIC-770 V3’s modular design delivers enhanced functionality and flexibility for PCIe expansion via Advantech i-Modules and Flex I/O in the front panel. Adding a PCIE-1674 vision frame grabber card enables the connection of four cameras when used in autonomous vehicles, advised Advantech. Adding four GbE Flex I/O (98910770301) enables this controller to connect to lidar systems, thus enabling it to detect distances and shapes in its environment then pass on data to the Nvidia L4 GPU for the rendering of 3D models based on graphics analysis.

Operating temperature range is 0 to 40 degrees C. A dedicated server-grade air duct design improves the thermal management of the GPU, said Advantech and maintains a GPU IC operating temperature below 70.5 degrees C in environmental conditions up to 40 degrees C to deliver clock frequency residency.

The Advantech MIC-770 V3 compact industrial computer (with MIC-75M20 i-Module) is available for order now.

http://www.advantech.com/en-eu

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Hyperlux family claims to boost performance, speed and features of automotive image sensors

Thu, May 11, 2023

With a 2.1 Microm pixel size, 150dB high dynamic range (HDR) and LED flicker mitigation (LFM) across the full automotive temperature range, the onsemi Hyperlux family is claimed to provide high performance, speed and advanced features to propel the next generation of Advanced Driver Assistance Systems (ADAS) forward. It also enables a smooth transition to Level 2+ driving automation, which requires the driver to take over only when alerted by the technology.

The Hyperlux family spans products with resolutions from 3 megapixel (MP) to 8MP and higher, catering to both sensing and viewing camera applications. With an HDR of 150dB, it claims to capture high quality images under extreme lighting conditions without sacrificing lowlight sensitivity. The LFM capability of the platform ensures that pulsed light sources do not appear to flicker and thereby avoids flicker-induced machine vision issues.

The simultaneous HDR and LFM capabilities ensure that the potential hazard can be identified in either very dark or bright scenes, critical to ADAS and in-cabin applications, said the intelligent driving sensor business unit at Desay SV. With the new Hyperlux technology, automotive OEMs and tier ones can expect proven high performance in all operating conditions to accelerate more advanced safety and convenience features, it added.

The Hyperlux product family claims to boast the industry’s lowest power consumption and smallest footprint. By using up to 30% less power and having an up to 28 per cent smaller footprint than competing devices, the automotive image sensors are claimed to deliver energy-efficient designs with the lowest system material cost. As more electronic content, including image sensors, is added to cars, the content needs to be as small as possible to fit in existing designs while not disrupting the internal and external style of the vehicle.

As vehicles become more connected and move closer to autonomy, the importance of safety and security is more critical than ever, said onsemi. It claimed its knowledge of automotive applications and trends, along with its engineering expertise in image sensing, enables its customers to develop next-generation products that bring it closer to the Vision Zero initiative, a strategy to eliminate all traffic fatalities and severe injuries.

Hyperlux is designed to meet the safety requirements of Automotive Safety Integrity Level D (ASIL D) systems, while integrated security gives the highest coverage to cybersecurity threats. These sensors also offer a dual output stream at differing resolutions, allowing sensing and other functions to be performed simultaneously. Designers can benefit from the flexible architecture for the use of a single camera for multiple functions, reducing design time, risk and cost.

The first two sensors of the Hyperlux product family, AR0823AT and AR0341AT, are now sampling.

Onsemi will be exhibiting at AutoSens Detroit, 9-11 May 2023.

https://www.onsemi.com

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Motor drive inverter supports 14V to 80V input DC voltage

Thu, May 11, 2023

EPC’s EPC9186 supports a wide input DC voltage ranging from 14V to 80V. The high-power capability of the EPC9186 supports applications such as electric scooters, small electric vehicles, agricultural machinery, forklifts and high-power drones.

The three-phase BLDC motor drive inverter uses the EPC2302 eGaN fet and four EPC2302 fets in parallel per switch position. It can deliver up to 200Apk maximum output current.

The EPC9186 contains all the necessary critical function circuits to support a complete motor drive inverter, including gate drivers, regulated auxiliary power rails for housekeeping supplies, voltage, and temperature sense, accurate current sense, and protection functions. The boards can be configured for multiphase DC–DC conversion and support both phase and leg shunt current sensing.

According to the company, the major benefits of a GaN-based motor drive are exhibited with this reference design, including lower distortion for lower acoustic noise, lower current ripple for reduced magnetic loss, lower torque ripple for improved precision and lower filtering for lower cost.

EPC provides full demonstration kits, which include interface boards that connect the inverter board to the controller board development tool for fast prototyping that is claimed to reduce design cycle times.

GaN-based inverters increase motor efficiency and can increase power capability without increasing size, claimed EPC. This enables motor systems that are smaller, lighter, less noisy, have more torque, more range, and greater precision for a wide range of consumer and industrial applications, it added.

The EPC9186 reference design board is priced at $900.00 and is available from Digi-Key.

Designers interested in replacing their silicon mosfets with a GaN solution can use the EPC GaN Power Bench’s cross-reference tool to find a suggested replacement based on their operating conditions.

EPC claims to be the leader in enhancement mode gallium nitride (eGaN) based power management. eGaN fets and integrated circuits are claimed to provide performance many times greater than the best silicon power mosfets in applications such as DC-DC converters, remote sensing technology (lidar), motor drives for eMobility, robotics, drones and low-cost satellites.

https://www.epc-co.com

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Small form factor computing system is based on Nvidia Jetson AGX Orin

Thu, May 11, 2023

Elma Electronic has expanded its line of rugged small form factor (SFF) edge computing systems to include the JetSys-5330, based on the Nvidia Jetson AGX Orin System on Module (SoM). The artificial intelligence (AI) platform delivers up to 275 TOPS, coupled with expansion sites for custom I/O and storage requirements, making the JetSys-5330 suitable for rugged, deployed deep-learning applications.

The JetSys-5330 utilises wireless multi-access edge computing. Industrial applications, including robotics, autonomous mining, agriculture and construction vehicles, can also benefit from the JetSys-5330 edge computing capabilities.

Mark Littlefield, director, system products for Elma Electronic, commented: “The power of AI brought to the edge by this latest Nvidia Jetson-based JetSys platform is enhanced by the versatile and extensive I/O interfaces and storage capabilities. This new system can handle multiple concurrent video pipelines, which means enhanced data handling and processing power for rugged systems.”

The Nvidia Jetson AGX Orin is a powerful SoM for AI applications, featuring a 2048-core Nvidia Ampere architecture GPU with 64 Tensor Cores and a 12-core Arm Cortex-A78AE. Deep learning and vision accelerators, a video encoder/decoder, high-speed I/O, 204GB/s of memory bandwidth and up to 64GB of DRAM contribute to its processing capabilities.

Claimed to be easily configurable and expandable, the JetSys-5330 combines the Nvidia Jetson AGX Orin module with Elma’s JetKit-3110 carrier card, which provides the necessary power and interfaces for the SoM as well as three mini-PCIe slots (one that doubles as mSATA) and two M.2 slots (one B-Key and one M-Key) for custom I/O or fixed storage expansion.

The platform’s rugged design is IP67-rated and qualified to standards including MIL-STD-810G, MIL-HDBK-704F and MIL-STD-1275D. The platform’s power consumption ranges from 53W to 130W depending on the system configuration. Maximum weight is 16lbs with an optionally available fan kit.

https://www.elma.com

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Advantech’s edge computer is based on Nvidia L4 GPU for industrial AI

Hyperlux family claims to boost performance, speed and features of automotive image sensors

Motor drive inverter supports 14V to 80V input DC voltage

Small form factor computing system is based on Nvidia Jetson AGX Orin

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