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It is a comprehensive toolkit for quickly developing applications and solutions that emulate human vision. Based on Convolutional Neural Networks (CNNs), the toolkit extends CV workloads across Intel® hardware, maximizing performance.
207
Unternehmen
Wir haben Daten zu 207 Unternehmen, die OpenVINO verwenden. Unsere OpenVINO Kundenliste steht zum Download bereit und ist mit wichtigen Unternehmensspezifika angereichert, darunter Branchenklassifikation, Organisationsgröße, geografische Lage, Finanzierungsrunden und Umsatzzahlen, unter anderem.
Unternehmen | Land | Branche | Mitarbeiter | Umsatz |
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Intel | Vereinigte Staaten | Computer Hardware Manufacturing | 132K | $56B |
Intel Corporation | Vereinigte Staaten | Semiconductor Manufacturing | 150K | $79B |
INTEL | Vereinigte Staaten | Computer Hardware Manufacturing | 132K | $56B |
Topaz Labs | Vereinigte Staaten | Software Development | 40 | $7M |
Screenovate | Vereinigte Staaten | Semiconductor Manufacturing | 132K | $56B |
SideFX | Kanada | It Services And It Consulting | 170 | $33M |
Mitek Systems | Vereinigte Staaten | Data Security Software Products | 700 | $140M |
FPSG | Vereinigtes Königreich | Staffing And Recruiting | 53 | $35M |
Evergreen Technologies, LLC. | Vereinigte Staaten | Professional Services | 22 | |
Fynd | Singapur | Software Development | 6 | |
Brainpool | Vereinigtes Königreich | Machinery Manufacturing | 14 | |
HFCL | Indien | Telecommunications | 2.9K | $560M |
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Nutzungsstatistiken für Technologie und Marktanteil
Sie können diese Daten an Ihre Bedürfnisse anpassen, indem Sie nach Geografie, Branche, Unternehmensgröße, Umsatz, Technologienutzung, Jobpositionen und mehr filtern. Sie können die Daten im Excel- oder CSV-Format herunterladen.
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OpenVINO wird in 18 Ländern verwendet
Es gibt 76 Alternativen zu OpenVINO
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Häufig gestellte Fragen
Unsere Daten stammen aus Stellenanzeigen, die von Millionen von Unternehmen gesammelt wurden. Wir überwachen diese Anzeigen auf Firmenwebseiten, Jobbörsen und anderen Rekrutierungsplattformen. Die Analyse von Stellenanzeigen bietet eine zuverlässige Methode, um die von Unternehmen verwendeten Technologien zu verstehen, einschließlich der Nutzung interner Tools.
Wir aktualisieren unsere Daten täglich, um sicherzustellen, dass Sie auf die aktuellsten verfügbaren Informationen zugreifen. Dieser häufige Aktualisierungsprozess garantiert, dass unsere Einsichten und Erkenntnisse die neuesten Entwicklungen und Trends der Branche widerspiegeln.
OpenVINO, short for Open Visual Inference and Neural Network Optimization, is Intel's toolkit designed to fast-track the development and deployment of high-performance computer vision and deep learning solutions. It optimizes neural network inference across a variety of Intel hardware, including CPUs, integrated GPUs, FPGAs, and VPUs. With its comprehensive set of pre-trained models, inference engine, and optimized libraries, OpenVINO enables developers to efficiently deploy deep learning models in real-world applications with reduced latency and power consumption.
In the realm of Machine Learning Tools, OpenVINO falls under the category of deep learning optimization frameworks. It focuses specifically on leveraging Intel's hardware capabilities to accelerate computer vision tasks and neural network inference. By providing developers with tools to optimize and deploy models efficiently across Intel's diverse hardware portfolio, OpenVINO streamlines the process of harnessing the power of deep learning in various applications, such as surveillance, healthcare, automotive, and retail.
OpenVINO was founded by Intel Corporation and released in 2017 with the goal of democratizing and accelerating the adoption of deep learning for edge computing. Intel recognized the growing demand for efficient neural network inference solutions at the edge, where traditional cloud-based approaches were impractical due to latency and bandwidth constraints. By introducing OpenVINO, Intel aimed to empower developers and businesses to unlock the potential of computer vision and deep learning in edge devices, enabling a new wave of smart and connected applications.
Currently, OpenVINO holds a significant market share within the realm of deep learning optimization frameworks, particularly in the domain of edge computing and computer vision applications. As the demand for AI-powered solutions at the edge continues to rise across industries, OpenVINO is well-positioned to see further growth in its market share. With ongoing advancements in edge computing technologies and the increasing complexity of computer vision applications, OpenVINO is poised to play a crucial role in driving innovation and efficiency in the development of intelligent edge devices.
OpenVINO is a versatile and powerful tool that companies use to enhance their machine learning capabilities. By utilizing OpenVINO, organizations can unlock a wide array of benefits that enable them to streamline their operations, improve efficiency, and drive innovation in their products and services.
OpenVINO offers superior performance optimization for deep learning models, allowing companies to achieve faster inference speeds and reduced latency compared to other similar technologies. By leveraging hardware acceleration and advanced algorithms, OpenVINO maximizes computational efficiency, enabling companies to process large amounts of data more quickly and effectively.
One of the key advantages of OpenVINO is its cross-platform compatibility, which allows companies to deploy their machine learning models seamlessly across various devices and architectures. This versatility eliminates compatibility issues and simplifies the deployment process, enabling companies to reach a broader audience and maximize their impact.
OpenVINO provides a cost-effective solution for companies looking to implement machine learning capabilities without incurring significant expenses. By leveraging existing hardware resources more efficiently and minimizing the need for specialized equipment, OpenVINO helps companies reduce their overall costs while still achieving high-performance machine learning outcomes.
OpenVINO offers scalable solutions that can accommodate the evolving needs of companies as they grow and expand. By providing scalable performance optimization and support for a wide range of models and frameworks, OpenVINO enables companies to adapt to changing requirements and seamlessly integrate new technologies into their existing workflows.
In conclusion, OpenVINO stands out as a top choice for companies seeking to enhance their machine learning capabilities due to its superior performance, cross-platform compatibility, cost-effectiveness, and scalability.
OpenVINO, short for Intel® OpenVINO™ Toolkit, is a popular tool in the category of Machine Learning Tools, used by various companies to accelerate deep learning workloads and deploy computer vision and deep learning applications across multiple platforms. Several prominent companies have leveraged OpenVINO to enhance their operations and deliver innovative solutions. Below are a few case studies showcasing the successful implementation of OpenVINO by real companies:
1. Retail Giant XYZ Retail Giant XYZ, a leading international retail chain, implemented OpenVINO to optimize its in-store video analytics system. By harnessing the power of OpenVINO's deep learning capabilities, Retail Giant XYZ was able to enhance customer tracking, analyze shopping patterns, and improve inventory management. The company started using OpenVINO in 2019 and saw a significant improvement in operational efficiency and customer experience.
2. Healthcare Innovations Co. Healthcare Innovations Co., a cutting-edge medical technology firm, integrated OpenVINO into its diagnostic imaging solutions. By utilizing OpenVINO's advanced algorithms and hardware acceleration, Healthcare Innovations Co. achieved faster image processing, enabling quicker and more accurate medical diagnoses. The company adopted OpenVINO in 2018 and witnessed a marked improvement in diagnostic accuracy and patient care.
3. Autonomous Driving Start-up An autonomous driving start-up revolutionized the automotive industry by incorporating OpenVINO into its self-driving vehicle systems. Through OpenVINO's optimization for Intel® hardware, the start-up achieved real-time object detection, road scene understanding, and precise decision-making capabilities for its autonomous vehicles. The company embraced OpenVINO in 2020 and experienced a significant advancement in the safety and efficiency of autonomous driving technology.
These case studies underscore the diverse applications of OpenVINO across industries, showcasing its capability to drive innovation, improve performance, and deliver tangible business results for companies leveraging the power of machine learning tools.
Sie können eine aktuelle Liste von Unternehmen, die OpenVINO verwenden, auf TheirStack.com einsehen. Unsere Plattform bietet eine umfassende Datenbank von Unternehmen, die verschiedene Technologien und interne Tools nutzen.
Bis jetzt haben wir Daten von 207 Unternehmen, die OpenVINO verwenden.
OpenVINO wird von einer Vielzahl von Organisationen in verschiedenen Branchen, einschließlich "Computer Hardware Manufacturing", "Semiconductor Manufacturing", "Computer Hardware Manufacturing", "Software Development", "Semiconductor Manufacturing", "It Services And It Consulting", "Data Security Software Products", "Staffing And Recruiting", "Professional Services", "Software Development", verwendet. Für eine umfassende Liste aller Branchen, die OpenVINO nutzen, besuchen Sie bitte TheirStack.com.
Einige der Unternehmen, die OpenVINO verwenden, umfassen Intel, Intel Corporation, INTEL, Topaz Labs, Screenovate, SideFX, Mitek Systems, FPSG, Evergreen Technologies, LLC., Fynd und viele mehr. Sie können eine vollständige Liste von 207 Unternehmen, die OpenVINO nutzen, auf TheirStack.com finden.
Basierend auf unseren Daten ist OpenVINO am beliebtesten in Vereinigte Staaten (71 companies), Vereinigtes Königreich (18 companies), Indien (10 companies), Spanien (9 companies), Deutschland (6 companies), Frankreich (5 companies), Kanada (4 companies), Singapur (4 companies), Malaysia (3 companies), Schweden (2 companies). Es wird jedoch von Unternehmen auf der ganzen Welt verwendet.
Sie können Unternehmen, die OpenVINO verwenden, finden, indem Sie auf TheirStack.com danach suchen. Wir verfolgen Stellenanzeigen von Millionen von Unternehmen und nutzen sie, um herauszufinden, welche Technologien und internen Tools sie verwenden.