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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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Alteryx Machine Learning Platform
https://www.alteryx.com/products/alteryx-machine-learning#:~:text=Scale%20data%20science%20across%20your%20business%20with%20automated%20machine%20learning%20(AutoML)%20and%20feature%20engineering%2C%20empowering%20business%20domain%20experts%20and%20data%20scientists%20alike%20to%20accelerate%20insights.
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SMARC Short Size Module with NXP i.MX 8M Plus
LEC-IMX8MP
ADLINK LEC-IMX8MP, based on the powerful NXP i.MX8M Plus (quad core Arm Cortex-A53) processor with an optional Neural Processing Unit (NPU) operating at up to 2.3 TOPS., is the first SMARC revision 2.1 compliant module focusing on machine learning and vision, advanced multimedia, and industrial IoT with high reliability. Additionally, it supports dual Image Signal Processors and two camera inputs for an effective Vision System. The LEC-IMX8MP is suited for applications such as smart home, building, city and industry 4.0.
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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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Automatic Audio-Video Sync Detection
BATON® LipSync
BATON® LipSync is an automated tool for lip sync detection and verification. BATON LipSync leverages image processing and machine learning (ML) technology and deep neural networks to automatically detect audio and video sync errors. Using BATON LipSync, broadcasters and service providers can accurately detect audio lead and lag issues in media content in order to provide a superior quality of experience (QoE) to viewers.
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Automating Captioning Workflows
BATON® Captions
BATON® Captions is an automated solution for all kinds of captioning needs, allowing broadcasters and media professionals to address requirements from caption generation to QC, auto corrections, review, and editing. Leveraging cutting-edge machine learning (ML) and automatic speech recognition technology, BATON Captions brings simplicity and cost savings to the creation, management, and delivery of captions for traditional TV and video streaming.
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Azure Stream Analytics
Discover Azure Stream Analytics, the easy-to-use, real-time analytics service that is designed for mission-critical workloads. Build an end-to-end serverless streaming pipeline with just a few clicks. Go from zero to production in minutes using SQL—easily extensible with custom code and built-in machine learning capabilities for more advanced scenarios. Run your most demanding workloads with the confidence of a financially backed SLA.
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Video Encoding and Machine Learning
Fraunhofer Institute for Telecommunications
With the proliferation of video in our everyday lives, the efficient coding, transport, processing and analysis of video signals is becoming more and more important. The Department of Video Coding and Machine Learning is concerned with image and video coding, transport of multimedia data, design of embedded systems for multimedia processing as well as analysis and machine understanding of images and videos.
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Sound Analysis-Synthesis
iNSTiTUT DE RECHERCHE ET COORDiNATiON ACOUSTiQUE/MUSiQUE
The analysis of sounds includes methods enabling the permanent extraction or automatic structuring of diverse sorts of information given off by the signal, such as the fundamental frequency or the spectral evolution determining the pitch and timbre of a perceived sound. Information outside what is strictly musical is also taken into consideration, notably concerning industrial acoustics, sound design and multimedia as well as the automatic indexing of recorded sounds. The methods used are based on signal processing, statistical analysis, information theory, machine learning and recognition techniques, but also on knowledge of auditory perception.
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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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Artificial Intelligence And Machine Learning Testing
AI and ML testing framework can efficiently recognize pitfalls and with constant updates to the algorithms, it is feasible to discover even the negligible error. Essentially, Artificial Intelligence (AI) and Machine Learning (ML) tech are well-trained to process data, identify schemes and patterns, form and evaluate tests without human support. This is made possible with deep learning and artificial neural networks when a machine self-educates based on the given data sets or data extracted from an external source such as the web.
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6U VPX GPGPU Processing Cards
Curtiss-Wright Defense Solutions
For systems requiring compute-intensive capability or using deep learning frameworks for AI applications, these highly engineered modules provide a field-proven hardware foundation. These processing powerhouses leverage the latest GPGPU advancements from NVIDIA for machine learning and artificial intelligence applications.
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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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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.
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Azure Machine Learning
Empower data scientists and developers with a wide range of productive experiences to build, train, and deploy machine learning models and foster team collaboration. Accelerate time to market with industry-leading MLOps—DevOps for machine learning. Innovate on a secure, trusted platform, designed for responsible machine learning.
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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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Dual-Port 10gbe OCP 3.0 Adapter
N210P
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series N210P 2x10G PCIe 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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No-code Test Automation for Modern Software Teams
Rainforest QA
Rainforest introduces QA as an API so testing seamlessly integrates with development workflows. Our model for doing QA right: Recognizes where test automation affords value and efficiency. Leverages machine learning to optimize accuracy and make tests smarter. Introduces human intervention when critical to the best user experience. Rainforest is an on-demand QA solution for agile and CI/CD teams.
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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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Lattice SensAI Studio
Graphical interface based tool to help users built accelerated machine learning applications quickly. Select from a range of models pretrained to cover popular use cases, bring in your own data for additional training, validation the quality of training using TensorBoard, compile for Lattice’s FPGAs*Model Zoo with variety of models based on multiple architecture*Easy to use labeling, training, and compilation GUI*Docker container provided for installation on your own machine or server*Free license
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PCIe 3.0 Ethernet Controller
BCM57417
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57417 10GBASE-T 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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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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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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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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OCD Solutions
Onto Innovation’s OCD technology offers powerful OCD modeling and advanced machine learning capability, as well as next-generation real-time regression, offline sensitivity analysis tools and comprehensive GUI and structure input for true multi-variant modeling. Both the Ai Diffract and SpectraProbe software packages deliver advanced capabilities in intuitive and easy to deploy hardware form factors.
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Edge AI System
Axiomtek designs, develops and manufactures edge AI (Artificial Intelligence) systems to fulfill AI solution-ready system requirements. The AI embedded systems are ideal for smart manufacturing, machine vision, deep learning, edge computing, and much more.
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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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PCIe 4.0 Ethernet Controller
BCM57504
Based on Broadcom’s scalable 10/25/50/100/200G Ethernet controller architecture, the NetXtreme®-E Series BCM57504 100G PCIe 4.0 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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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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PathWave Waveform Analytics Software
Debug voltage and current spikes, IO glitches, and time shifts in pre-silicon using powerful machine learning.
