Omron claims automated robotic system is a world-first

A robotic integrated controller, the NJ501-R, has been released by Omron. It is based on its NJ series of machine controllers for industrial automation.

The integrated controller makes it possible to automate advanced and complex manual work and simulate the design and modification of production facilities in a virtual environment, and conduct maintenance remotely, says Omron.

The NJ501-R machine controller offers real-time synchronisation between all automation equipment, including robots, vision components, drives, and safety equipment. Improving the speed and accuracy of production, users can simulate entire production lines without having to deploy physical equipment. This will simplify maintenance, and reduce time-to-market during the design, planning, commissioning, and changeover processes.

Traditionally, automation equipment for production facilities has been controlled by a number of controllers which can create challenges at set up and co-ordinating the speed and timing between devices. It is also difficult to verify a process design in advance and after the equipment is commissioned, adjustments need to be made onsite. Back tracking and specification changes are common, resulting adding man hours to the project.

The NJ501-R robotic integrated controller automates inserting and assembling processes. Robots and equipment are controlled and fully synchronised in real-time by a single controller, and is claimed to achieve the world’s highest level of throughput.

Omron has also unified the programming languages for robot and machine control, to simulate a production line with single programming software. The system visualises the process, reducing process design and operational verification by up to 50 per cent, claims Omron.

Sysmac Studio’s user interface allows users to design, program, troubleshoot, operate and maintain future automation systems remotely from anywhere in the world.

Omron provides control components and equipment, ranging from image-processing sensors and other input devices to various controllers and output devices such as servo motors, as well as a range of safety devices and industrial robots. By combining these devices via software, Omron has developed a variety of automation solutions for manufacturers worldwide.

Omron specialises in the field of automation, covering industrial automation and electronic components to automotive electronic components, social infrastructure systems, healthcare, and environmental solutions.

https://www.omron.com

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Aitech introduces C530 with Nvidia’s Turing architecture

Aitech Systems has based its C530 general purpose GPU (GPGPU) board with GPUs, based on Nvidia’s Turing architecture. The rugged, high performance board helps designers overcome major hurdles in the rugged AI landscape by providing accelerated data processing of multiple streams simultaneously, while withstanding extreme environmental conditions, says Aitech.

The enhanced 3U VPX board is based on COTS, open-standard architectures. Compared with accelerated architectures which are not based on general purpose GPUs, the C530 uses multi-layered artificial neural networks and the Nvidia Turing architecture-based GPUs to concurrently execute floating point and integer operations. When equipped with the Nvidia RTX 3000 GPU, the C530 houses 1920 CUDA cores for parallel processing, 240 Tensor cores for AI inference, 30 ray tracing cores for real-time rendering and 6Gbyte DDR6 for processing of up to 5.3TFLOPS (FP32). The T1000 GPU’s 896 CUDA cores and 4Gbyte DDR5 enable 2.6TFLOPS (FP32) of data processing.

Dan Mor, GPGPU product line manager for Aitech, said that the enhanced C530 uses the power of Nvidia to provide the performance needs for compute-intensive applications like AI delivery, video analytics and image processing.

The C530 delivers accuracy in complex tasks such as object detection, classification, segmentation and motion detection.  It is used widely throughout rugged high performance embedded computing (HPEC) applications, including unmanned and autonomous vehicles (both ground and aerial)and in surveillance, targeting and advanced weapons systems found in naval, avionics and industrial environments.

The C530 supports the Nvidia RTX 3000 GPU, via an MXM site, and consumes only 80W. The Nvidia T1000 GPU consumes only 50W. New configurations will be released as higher-performance MXMs become available, says Aitech.

The C530 operates as a peripheral board with a compatible x86 VPX host single board computer (SBC), connected to the host SBC over the VPX backplane, via a high speed PCIe Gen3 link of up to 16 lanes. Four independent HDMI video ports each support resolutions of up to 1600×1200 at 60Hz.

http://www.aitechsystems.com

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AI and robotics starter kit

A developer kit to teach AI has been created by Nvidia. The Nvidia Jetson Nano 2Gbyte developer kit is aimed at a new generation of students, educators and hobbyists, Nvidia said at last week’s GTC.

The Jetson Nano 2Gbyte developer kit is supported by Nvidia’s free online training and AI-certification programs, to supplement the many open-source projects, how-tos and videos contributed by thousands of developers in the Jetson community.

The kit is the latest offering in Nvidia’s Jetson AI at the Edge platform, which ranges from entry-level AI devices to advanced platforms for fully autonomous machines.

It is supported by the company’s JetPack software development kit (SDK), which comes with Nvidia container runtime and a full Linux software development environment. This allows developers to package their applications for Jetson with all its dependencies into a single container that is designed to work in any deployment. And it is powered by the same CUDA-X accelerated computing stack used to create breakthrough AI products in such fields as self-driving cars, industrial IoT, healthcare and smart cities.

The Jetson Nano 2Gbyte developer kit can run a diverse set of AI models and frameworks and provides a scalable platform for learning and creating AI applications as they evolve.

It has been endorsed by organisations, enterprises, educators and partners in the embedded computing ecosystem. For example, Jim McGregor, principal analyst at Tarias Research, said: “Nvidia’s Jetson is driving the biggest revolution in industrial AIoT. With the new Jetson Nano 2GB, NVIDIA opens up AI learning and development to a broader audience, using the same software stack as its data center AI computing platform.”

Matthew Tarascio, vice president of Artificial Intelligence at Lockheed Martin, said: “Acquiring new technical skills with a hands-on approach to AI learning becomes critical as AIoT drives the demand for interconnected devices and increasingly complex industrial applications. We’ve used the Nvidia Jetson platform as part of our ongoing efforts to train and prepare our global workforce for the AI revolution.”

Emilio Frazzoli, professor of Dynamic Systems and Control at ETH Zurich, said: “The Duckietown educational platform provides a hands-on, scaled down, accessible version of real-world autonomous systems. Integrating Nvidia’s Jetson Nano power in Duckietown enables unprecedented, affordable access to state-of-the-art compute solutions for learning autonomy.”

It has also been used as part of the STEM curriculum at Boys & Girls Club of Western Pennsylvania, USA.

The Jetson Nano 2GB Developer Kit will be available at the end of the month for $59 through NVIDIA’s distribution channels.

http://www.nvidia.com

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Image sensor minimises distortion in machine vision and mixed reality applications

A combination of a high dynamic range and pixel design means that the AR0234CS CMOS global shutter image sensor by ON Semiconductor delivers image clarity at 120 frames per second.
The 2.3 Mpixel CMOS image sensor, with global shutter technology is designed for a variety of applications including machine vision cameras, augmented reality (AR), virtual reality (VR) and mixed reality (MR) headsets, autonomous mobile robots (AMRs) and barcode readers.

The AR0234CS captures 1080p video and single frames, up to 120 frames per second. It is claimed to have industry-leading shutter efficiency, to produce crisp and clear images by minimising frame-to-frame distortion in high speed scenes and reducing the motion artefacts that other image sensors experience.

The pixel architecture delivers high dynamic range to support lighting conditions from the darkness of night to bright sunlight. The low noise and improved low light response makes it suitable for applications spanning across consumer, commercial and industrial IoT. The extended operating temperature range makes it deployable in challenging outdoor conditions.

As manufacturers automate production, using vision-based systems, the need for quality image sensing is increasing, explains Gianluca Colli, vice president and general manager, Industrial and Consumer Sensor Division (ICSD) Group at ON Semiconductor. As a result, they are demanding optimum size, performance and power in image sensors, he continued.

The sensor also has programmable regions of interest with on-chip histogram, auto exposure control and 5 x 5 statistics engine, fully integrated strobe illumination control, a flexible row and column skip mode, along with horizontal and vertical mirroring, windowing and pixel binning.

Together with the AP1302 image signal processor (ISP), the AR0234CS delivers a comprehensive camera system that can be designed and developed quickly for fast time-to-market, says ON Semiconductor. System designers can access the DevSuite software to evaluate features and capabilities, configure and tune the sensor, and provide a ready-made output that is usable for further image processing.

The AR0234CS is offered in colour and mono variants, with 0 or 28 degree chief ray angle (CRA).

Samples and development hardware are available now through local ON Semiconductor sales support representatives and authorised distributors.

http://www.onsemi.com

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