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See Also: Artificial Intelligence, Identification
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Text Analysis
Text analytics is the process of transforming unstructured text documents into usable, structured data. Text analysis works by breaking apart sentences and phrases into their components, and then evaluating each part’s role and meaning using complex software rules and machine learning algorithms. Data analysts and other professionals use text mining tools to derive useful information and context-rich insights from large volumes of raw text, such as social media comments, online reviews, and news articles. In this way, text analytics software forms the backbone of business intelligence programs, including voice of customer/customer experience management, social listening and media monitoring, and voice of employee/workforce analytics.
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Drone Inspection Software
Qii.AI
Qii.AI automates the detection and analysis of defects. It is the only enterprise AI platform that combines drone inspection software with an AI labeling tool, AI-assisted computer vision, and machine learning.
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Rugged IP67-rated Fanless Edge System With NVIDIA® Jetson™ TX2, HDMI, GbE LAN, 1-CH PoE, USB 2.0 And 100 To 240 VAC Power Input
eBOX800-900-FL
The Artificial Intelligence (AI) embedded system, eBOX800-900-FL, adopts a full IP67-rated extruded aluminum and heavy-duty steel case for dust protection and water resistance. Moreover, the AI embedded system comes with a wide operating temperature range of -30°C to 60°C (-22°F to +140°F) and a vibration endurance for up to 3Grms. The embedded system is powered by the NVIDIA Jetson™ TX2 module which has a powerful 64-bit ARM A57 processor and 256-core NVIDIA® Pascal GPU. It features M12 type I/O connectors and four N-jack waterproof antenna openings for operational stability in rugged environments. The eBOX800-900-FL is ideal for AI edge computing and deep learning applications, such as smart city, smart manufacturing, smart transportation, and much more. The eBOX800-900-FL has 8GB of LPDDR4 memory and 32GB eMMC onboard. It comes with a wide range of 100 to 240 VAC power input with 10kV surge protection. The rugged edge computer also features one M.2 SSD PCIe 2.0 x4 socket which supports high-performance NVM Express interface for extensive storage needs. Furthermore, the embedded box PC is equipped with a PoE port to support the applications that require the use of IP cameras or any PoE device, i.e., traffic flow monitoring, license plate recognition, vehicle recognition, machine vision.
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Digital Processor
DP7000
The DP 7000 Digital Processor with 40/100G Ethernet or 169G Interlaken protocol compatible MPO/MTP® Optics, designed for evolving markets such as Real-Time Stream Processing for High-speed Data-acquisition (DAQ), High Performance Computing (HPC), Machine Learning, Data Center Infrastructure, AI Processing and Network applications. The board is 8U form factor, 322.25 mm x 280 mm x 6 HP (L x W x H), single slot AXIe or AdvancedTCA® blade, ideal for multi-slot 19″ rack mount system integration. In AXIe form factor it provides up-to Gen3 PCIe® backplane connectivity.
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In-Sight Vision System
D900
The In-Sight D900 is a smart camera powered by In-Sight ViDi software designed specifically to run deep learning applications. This embedded solution helps factory automation customers easily solve challenging industrial OCR, assembly verification, and random defect detection applications anywhere on the line that have gone uninspected because they are often too difficult to program with traditional, rule-based machine vision tools.
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TySOM Embedded Prototyping Boards
TySOM™ is a family of embedded system prototyping boards. Depending on the board, one of three FPGAs will be at its heart: a Xilinx Zynq® UltraScale+™, a Xilinx Xilinx Zynq-7000 or a Microchip PolarFire SoC. The boards are compatible, through industry standard interfaces (FMC or BPX), with Aldec’s wide range daughter cards, making Aldec’s TySOM embedded prototyping boards ideal for the rapid development of applications that include automotive (and ADAS, in particular), artificial intelligence (AI), machine learning (ML), embedded vision, embedded-HPC (including edge-processing), IoT, IIoT and industrial automation.
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Solution for High Density I/O Applications
BitBox
The BitBox is BitFlow''s new solution for high density I/O applications. Many machine makers require a large number of computer managed I/O signals for continuous control of the system state. This means controlling devices such strobes, solenoids, actuators, indicators etc. as well as gathering inputs from photo-detectors, switches, encoders and triggers. In general, BitFlow frame grabbers come with a fairly large number of inputs and outputs, but for some system this is simply not enough. Most customers end up purchasing another device to manage the I/O, which adds expense, requires another slot, another driver and SDK, another manual, etc. The BitBox has been designed for just this situation. It is controlled completely from the frame grabber, uses the same API, driver and manuals as the frame grabber. This saves time, money, space, and learning curve.
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Single-Port 50GbE PCIe Ethernet NIC
P150P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series P150P 1x50G PCIe NIC is designed to build highly scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation and data analytics.
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Fanless Embedded System With LGA1151 9th/8th Gen Intel® Core™ I7/i5/i3 & Celeron® Processor, 4-CH PoE And MXM 3.1 Type A
eBOX671-521-FL
The eBOX671-521-FL is a GPU computing embedded system that comes with 4-CH PoE and MXM 3.1 Type A slot for applications in machine vision, edge computing, traffic vision, deep learning, and artificial intelligence of things. The outstanding eBOX671-521-FL with enhanced GPU computing performance is powered by the 9th/8th gen Intel® Core™ i7/i5/i3 processor with up to six-core, Intel® Pentium® processor, or Intel® Celeron® processor and comes with Intel® Q370 or optional Intel® C246 chipset. The fanless embedded GPU-based system is equipped with dual DDR4 ECC/non-ECC SO-DIMM slots for up to 64GB of system memory. The embedded vision system has an optional MXM type A slot for NVIDIA GTX1030 and GTX1050 graphics modules to enhance the performance of the visual display. Furthermore, this Intel® Coffee Lake-based embedded box PC is specially designed with four Gigabit 802.3at (PoE, Power-over-Ethernet) compliant Ethernet ports with a total power budget of 60W, six USB 3.1 ports and two Gigabit LANs to connect different devices or sensors. It comes in great expansion possibilities, including one internal MXM 3.1 type A connector, two full-size PCI Express Mini Card slots and two SIM slots. For storage, it has two swappable SATA HDD drive bays with a height of up to 9.5 mm and one mSATA for RAID 0 and 1 feature. Besides, we have designed a flexible I/O window slot for incorporating application-oriented I/O functions to meet the requirements of various cases. This embedded vision computer can be mounted using wall or DIN-rail mounting for versatile use in various environments.
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Embedded Computing Modules
Curtiss-Wright Defense Solutions
Our selection of rugged, embedded computing modules has been trusted and proven in defense, commercial, and industrial applications worldwide. Choose from solutions with hardened security, high-performance processing for machine learning and artificial intelligence (AI), and SWaP-optimized, miniature form factors to meet your program requirements. Our innovative solutions are designed in alignment with MOSA standards, including OpenVPX, SOSA and CMOSS, and engineered to succeed.
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PCIe OCP 3.0 Ethernet Adapter
N1100G
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series N1100G 1x100G OCP 3.0 adapter is designed to build highly scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation and data analytics.
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Open eVision Libraries
Hardware-independent image processing and analysis libraries for machine vision inspection applicationsCompatible with any image source, including frame grabbers, GigE Vision and USB3 Vision camerasSupport the latest technologies such as Deep Learning and 3DAccurate sub-pixel measurement and calibration64-bit and 32-bit libraries for C++ and .NET (C#, VB.NET, C++/CLI) under Windows64-bit libraries for Linux (x86-64)Easy to learn and useRobust, flexible and powerful
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Nano Family
The Nano Family is a set of boards with a tiny footprint, packed with features. It ranges from the inexpensive, basic Nano Every, to the more feature-packed Nano 33 BLE Sense / Nano RP2040 Connect that has Bluetooth® / Wi-Fi radio modules. These boards also have a set of embedded sensors, such as temperature/humidity, pressure, gesture, microphone and more. They can also be programmed with MicroPython and supports Machine Learning.
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Benchtop AOI Machine
Sherlock-300F
Many companies, especially smaller electronics manufacturers, put off adding automated optical inspection (AOI) to their process because of the high capital investment, the sharp learning curve, and the need for an experienced operator to program and fine-tune it. Benchtop Sherlock 300F AOI machine was designed to make in-house AOI affordable and manageable for first-article inspection, prototyping, and even full production inspection requirements. It features the same technology and quality build of the batch and inline Sherlock 300 models—plus the same two full days of installation and training at your facility offered with the other models*—in a smaller size, at a lower price point.
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Data Insights for Network Operators
KALIX
Get outstanding insight of the customers, services and network, end-to-end. KALIX uses machine learning to analyse data and highlight performance issues in services and networks that affect customer. Keep track of all issues and monitor the impact of automation performance.
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Open Source Machine Learning server
PredictionIO
The Apache Software Foundation
Apache PredictionIO is an open source Machine Learning Server built on top of a state-of-the-art open source stack for developers and data scientists to create predictive engines for any machine learning task. It lets you: quickly build and deploy an engine as a web service on production with customizable templates; respond to dynamic queries in real-time once deployed as a web service; evaluate and tune multiple engine variants systematically;unify data from multiple platforms in batch or in real-time for comprehensive predictive analytics; speed up machine learning modeling with systematic processes and pre-built evaluation measures; etc.
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Cognitive Computing
Watson
IBM Watson is a technology platform that uses natural language processing and machine learning to reveal insights from large amounts of unstructured data
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I-Pi SMARC Development Kit based on NXP® i.MX 8M Plus Quad Arm® Cortex-A53 Processor
I-Pi SMARC IMX8M Plus
The I-Pi SMARC IMX8M Plus is a SMARC-based smart solution development kit powered by NXP i.MX8M Plus (Quad-core Arm Cortex-A53) processor with a Neural Processing Unit (NPU) at up to 2.3 TOPS.This is the first SMARC R2.1 development kit focused on machine learning, vision, advanced multimedia, and industrial IoT with high reliability. As such, it supports dual image processors and two camera inputs for an effective Vision System, as well as applications beyond, including smart homes, building cities, and industry 4.0.
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Open Source Computer Vision & Machine Learning Software Library
OpenCV
Open Source Computer Vision Library
The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, stitch images together to produce a high resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery and establish markers to overlay it with augmented reality, etc.
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GPGPU Cards
Curtiss-Wright Defense Solutions
For applications requiring massive parallel compute capability, such as deep learning frameworks for AI applications, our highly engineered GPGPU co-processing engines provide a field-proven hardware foundation. Curtiss-Wright GPGPU co-processing engines leverage the latest NVIDIA Tensor Cores (for machine learning) technology and are a critical component of the high-performance embedded computing (HPEC) ecosystem that delivers data center capability at the tactical edge.
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CCIX
The CCIX® Consortium was founded to enable a new class of interconnect focused on emerging acceleration applications such as machine learning, network processing, storage off-load, in-memory data base and 4G/5G wireless technology. CCIX is a high performance, low latency interface that is based on PCIe Physical layer, up to speeds of 32GT/s. Teledyne LeCroy provides a range of Protocol Analysis tools to support development and debug of CCIX based devices.
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Signal And Image Processing Research
TPAC solutions are ideal for research in signal processing applied to ultrasound. You need to be able to access to any parameter, implement a particular algorithm, and access to any data during the acquisition or postprocessing phase. TPAC provides you all of these. It can be applied to studies in signal processing, image processing, beamforming, machine learning, etc… Thanks to TPAC’s open platforms, you will be able to freely set the ultrasonic sequences, record the raw data from your experiment, and test your own algorithms or even method. In order to adapt to a wide variety of habits, TPAC proposes multiple APIs (Application Programming Interface) compatible with Matlab, C++, Python, C#, Labview and working under Windows or Linux operating systems. Through a socket, it is even possible to use any OS of your choice.
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I-Pi SMARC Development Kit Based On NXP® I.MX 95 Six-Core Arm® Cortex-A55, M7 & M33
I-Pi SMARC IMX95
The ADLINK LEC-IMX95 is a powerful and versatile SMARC module that delivers high-performance computing, graphics, machine learning, and vision capabilities for IoT and industrial applications. It is based on the NXP i.MX95 processor, which integrates six Arm Cortex-A55 cores, one Arm Cortex-M7 core, one Arm Cortex-M33 core, an Arm Mali GPU, an ISP, and an eIQ Neutron NPU that can run at up to 2 TOPS.
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Azure SQL Edge
Bring the security and performance of the Microsoft SQL engine to the edge with Azure SQL Edge running on ARM64 and x64 architecture. This productivity tool for edge computing combines new capabilities such as data streaming and time series with in-database machine learning and graph features. Develop your application once and deploy anywhere across the edge, your datacenter, and Azure. Get the Microsoft SQL database engine optimized for the edge for as low as USD60 per device.
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SparkFun MicroMod Machine Learning Carrier Board
The MicroMod Machine Learning Carrier Board combines some of the features of our SparkFun Edge Board and SparkFun Artemis boards, but allows you the freedom to explore with any processor in the MicroMod lineup without the need for a central computer or web connection. Voice recognition, always-on voice commands, gesture, or image recognition are possible with TensorFlow applications. The cloud is impressively powerful but all-the-time connection requires power and connectivity that may not be available. Edge computing handles discrete tasks such as determining if someone said "yes" and responds accordingly. The audio analysis is done on the MicroMod combination rather than on the web. This dramatically reduces costs and complexity while limiting potential data privacy leaks.
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Mobile Network Testing Products
The Rohde & Schwarz mobile network testing (MNT) portfolio consists of standalone products and integrated solutions covering all use cases and test scenarios along the lifecycle of a mobile network. The modular, scalable and future-proof portfolio comprises specially engineered hardware for high-quality data collection, including a versatile range of test scenario-based hardware options, as well as a sophisticated software suite to gain machine learning assisted deep insights.
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Digital Twin
Engineering simulation software has traditionally been used for new product design, but with the advent of advanced embedded sensors, engineers can now use this data to create digital twins. Digital twins can be used in real-time systems analysis to schedule predictive maintenance and implement performance optimizations. With the Hybrid Analytics capability of Ansys, engineers can reach an unparalleled level of accuracy using predictive analytics by combining machine learning (ML)-based analytics with a physics-based approach.
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Camera Automation System
Overcam
Overcam® automates key camera positions around the field of play, helping live sports productions gain extra camera coverage at lower operational costs. Based on robotized cameras and machine learning algorithms, the innovative system delivers high-quality shots with an optimal framing of the action. Designed to work in real-time and offering a dedicated feature set for soccer and basketball productions, Overcam® will seamlessly integrate into your existing multicamera live productions, providing your teams with more options for storytelling.
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PCIe 3.0 Ethernet Controller
BCM57412
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57412 25G PCIe 3.0 Ethernet controller is designed to build highly-scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation, and data analytics.
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Dual-Port 25GbE PCIe Ethernet NIC
P225P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series P225P 2x25G PCIe NIC is designed to build highly-scalable, feature-rich networking solutions in servers for enterprise and cloud-scale networking and storage applications, including high-performance computing, telco, machine learning, storage disaggregation, and data analytics.
