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
aziende
Abbiamo dati su 207 aziende che usano OpenVINO. La nostra lista di clienti OpenVINO è disponibile per il download ed è arricchita con specifiche vitali dell'azienda, incluse classificazione industriale, dimensioni organizzative, posizione geografica, round di finanziamenti e cifre di ricavi, tra gli altri.
Azienda | Paese | Settore | Dipendenti | Entrate |
---|---|---|---|---|
Intel | Stati Uniti | Computer Hardware Manufacturing | 132K | $56B |
Intel Corporation | Stati Uniti | Semiconductor Manufacturing | 150K | $79B |
INTEL | Stati Uniti | Computer Hardware Manufacturing | 132K | $56B |
Topaz Labs | Stati Uniti | Software Development | 40 | $7M |
Screenovate | Stati Uniti | Semiconductor Manufacturing | 132K | $56B |
SideFX | Canada | It Services And It Consulting | 170 | $33M |
Mitek Systems | Stati Uniti | Data Security Software Products | 700 | $140M |
FPSG | Regno Unito | Staffing And Recruiting | 53 | $35M |
Evergreen Technologies, LLC. | Stati Uniti | Professional Services | 22 | |
Fynd | Singapore | Software Development | 6 | |
Brainpool | Regno Unito | Machinery Manufacturing | 14 | |
HFCL | India | Telecommunications | 2.9K | $560M |
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OpenVINO è utilizzata in 18 paesi
Domande frequenti
I nostri dati provengono da offerte di lavoro raccolte da milioni di aziende. Monitoriamo queste offerte sui siti web delle aziende, sui portali di lavoro e su altre piattaforme di reclutamento. Analizzare le offerte di lavoro offre un metodo affidabile per comprendere le tecnologie impiegate dalle aziende, inclusi i loro strumenti interni.
Aggiorniamo i nostri dati quotidianamente per garantire che tu abbia accesso alle informazioni più aggiornate disponibili. Questo processo di aggiornamento frequente garantisce che le nostre intuizioni e intelligenze riflettano gli ultimi sviluppi e tendenze all'interno dell'industria.
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.
Puoi accedere a un elenco aggiornato di aziende che utilizzano OpenVINO visitando TheirStack.com. La nostra piattaforma fornisce un database completo di aziende che utilizzano varie tecnologie e strumenti interni.
Fino ad ora, abbiamo dati su 207 aziende che utilizzano OpenVINO.
OpenVINO è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "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". Per un elenco completo di tutti i settori che utilizzano OpenVINO, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano OpenVINO includono Intel, Intel Corporation, INTEL, Topaz Labs, Screenovate, SideFX, Mitek Systems, FPSG, Evergreen Technologies, LLC., Fynd e molte altre. Puoi trovare un elenco completo di 207 aziende che utilizzano OpenVINO su TheirStack.com.
Secondo i nostri dati, OpenVINO è più popolare in Stati Uniti (71 companies), Regno Unito (18 companies), India (10 companies), Spagna (9 companies), Germania (6 companies), Francia (5 companies), Canada (4 companies), Singapore (4 companies), Malaysia (3 companies), Svezia (2 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano OpenVINO cercandolo su TheirStack.com. Tracciamo le offerte di lavoro di milioni di aziende e le utilizziamo per scoprire quali tecnologie e strumenti interni stanno utilizzando.