Aziende che utilizzano AWS DeepLens
It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
6
aziende
It helps put machine learning in the hands of developers, literally, with a fully programmable video camera, tutorials, code, and pre-trained models designed to expand deep learning skills.
6
aziende
Abbiamo dati su 6 aziende che usano AWS DeepLens. La nostra lista di clienti AWS DeepLens 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 |
|---|---|---|---|---|
 Florican Enterprises |  India | Staffing And Recruiting | 15 | |
 Capco |  Regno Unito | Financial Services | 6.6K | $720M |
 Glidewell Dental |  Stati Uniti | Medical Equipment Manufacturing | 2.1K | $500M |
Vuoi scaricare l'intera lista?
Iscriviti e scarica l'elenco completo delle 6 aziende
Loading countries...
Loading other techonlogies...
Statistiche sull'Uso delle Tecnologie e Quota di Mercato
Puoi personalizzare questi dati secondo le tue necessità, filtrando per geografia, settore, dimensione dell'azienda, fatturato, uso della tecnologia, posizioni lavorative e altro ancora. Puoi scaricare i dati in formato Excel o CSV.
Puoi ricevere avvisi per questi dati. Puoi iniziare selezionando la tecnologia che ti interessa e poi riceverai avvisi nella tua casella di posta quando ci sono nuove aziende che utilizzano quella tecnologia.
Puoi esportare i suoi dati in un file Excel, che può essere importato nel tuo CRM. Puoi anche esportare i dati in un'API.
AWS DeepLens è utilizzata in 3 paesi
Ci sono 76 alternative a AWS DeepLens
21,6k
19,5k
6k
3,6k
3,3k
2,4k
2,3k
2k
1,8k
1,6k
1,3k
1,2k
1,1k
900
851
781
761
680
579
555
538
516
486
459
307
253
248
218
205
145
144
143
131
125
109
106
91
73
68
67
50
49
44
37
30
22
19
18
17
15
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.
AWS DeepLens is a cutting-edge technology in the field of Machine Learning Tools. It is a wireless video camera that integrates computer vision models to analyze visual data in real-time. This innovative device is designed to provide developers with a hands-on experience in deploying machine learning models at the edge, enabling them to create a wide range of intelligent applications.
AWS DeepLens falls under the category of Machine Learning Tools, specifically focusing on edge computing and computer vision. By utilizing this device, developers can explore the capabilities of deep learning algorithms in analyzing video streams locally, without the need for continuous cloud connectivity. This enables the development of applications such as object detection, facial recognition, and activity tracking in a variety of sectors including security, retail, and healthcare.
AWS DeepLens was founded by Amazon Web Services (AWS) in 2017, with the aim of democratizing machine learning and enabling developers to experiment with AI at the edge. By providing a tangible hardware platform combined with AWS cloud services, AWS DeepLens empowers developers to explore the potential of edge computing in diverse use cases. Since its launch, AWS DeepLens has gained traction in the market, with a growing number of developers and organizations adopting this technology for innovative projects.
As of the current market scenario, AWS DeepLens holds a notable market share within the Machine Learning Tools segment, owing to its unique proposition of combining edge computing with computer vision capabilities. With the increasing demand for edge AI solutions across industries, the market forecast suggests that AWS DeepLens is poised for growth in the coming years as more developers and businesses recognize the value of leveraging machine learning at the edge for efficient and real-time data processing.
AWS DeepLens is a cutting-edge machine learning tool that companies leverage to enhance their operations and drive innovation. By utilizing AWS DeepLens, organizations can unlock a wide array of benefits that set it apart from other similar technologies in the market.
AWS DeepLens offers unparalleled capabilities in real-time video analysis, allowing companies to extract valuable insights from live video feeds with exceptional accuracy and speed. Unlike traditional video analysis tools, AWS DeepLens leverages advanced machine learning algorithms and cloud computing power to deliver instant and precise results, enabling organizations to make informed decisions swiftly and efficiently.
One of the key advantages of AWS DeepLens is its seamless integration with the broader AWS ecosystem. Companies can effortlessly leverage existing AWS services such as S3, Lambda, and SageMaker to build end-to-end machine learning pipelines, thereby streamlining the development process and maximizing productivity.
AWS DeepLens offers unparalleled scalability and flexibility, allowing organizations to deploy machine learning models at scale without compromising performance. With the ability to easily scale resources up or down based on demand, companies can adapt to changing business requirements swiftly and cost-effectively. Moreover, AWS DeepLens' flexible architecture enables seamless integration with diverse applications and systems, empowering companies to innovate and evolve rapidly in today's dynamic business landscape.
Security and compliance are top priorities for companies across industries, and AWS DeepLens excels in ensuring data privacy and regulatory adherence. With robust built-in security features and compliance certifications, AWS DeepLens provides a secure environment for developing and deploying machine learning applications, instilling confidence in organizations that their data is protected and managed in accordance with industry best practices.
In summary, AWS DeepLens stands out as a powerful machine learning tool that offers unmatched capabilities, seamless integration, scalability, and robust security features, making it the preferred choice for companies seeking to leverage the full potential of machine learning in their operations.
AWS DeepLens is a popular machine learning tool that enables companies to build and deploy deep learning models at the edge. Several well-known organizations leverage AWS DeepLens to enhance their operations and deliver innovative solutions. Here are some real case studies showcasing how companies utilize AWS DeepLens to drive business impact:
1. Volkswagen Volkswagen, a leading automotive manufacturer, utilizes AWS DeepLens to optimize quality control processes in its production facilities. By implementing AWS DeepLens-enabled computer vision algorithms, Volkswagen can efficiently detect and classify defects in real-time during the manufacturing process. This technology has significantly improved the accuracy and speed of quality inspections since its integration in 2018.
2. Siemens Siemens, a global technology powerhouse, has integrated AWS DeepLens into its industrial automation systems to enhance predictive maintenance capabilities. By leveraging AWS DeepLens for real-time image analysis and anomaly detection, Siemens can proactively identify equipment failures before they occur, minimizing downtime and reducing maintenance costs. The company embraced AWS DeepLens in 2019 and has seen substantial efficiency gains since then.
3. LG Electronics LG Electronics, a renowned consumer electronics company, has adopted AWS DeepLens to revolutionize its smart home products. Through the integration of AWS DeepLens-powered object recognition and scene understanding capabilities, LG has introduced innovative features like intelligent home monitoring and personalized user experiences across its product portfolio. The company began utilizing AWS DeepLens in 2020 and continues to explore new applications for the technology across various product lines.
These case studies exemplify how companies across different industries leverage AWS DeepLens to drive digital transformation, enhance operational efficiencies, and deliver exceptional customer experiences. By harnessing the power of machine learning at the edge, organizations can unlock new opportunities for innovation and growth.
Puoi accedere a un elenco aggiornato di aziende che utilizzano AWS DeepLens 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 6 aziende che utilizzano AWS DeepLens.
AWS DeepLens è utilizzato da una vasta gamma di organizzazioni in vari settori, inclusi "Staffing And Recruiting", "Financial Services", "Medical Equipment Manufacturing". Per un elenco completo di tutti i settori che utilizzano AWS DeepLens, si prega di visitare TheirStack.com.
Alcune delle aziende che utilizzano AWS DeepLens includono Florican Enterprises, Capco, Glidewell Dental e molte altre. Puoi trovare un elenco completo di 6 aziende che utilizzano AWS DeepLens su TheirStack.com.
Secondo i nostri dati, AWS DeepLens è più popolare in India (1 companies), Regno Unito (1 companies), Stati Uniti (1 companies). Tuttavia, è utilizzato da aziende in tutto il mondo.
Puoi trovare aziende che utilizzano AWS DeepLens 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.