DeepX

DeepX

Computer Vision and AI Workforce

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About DeepX
DeepX: AI Machine Learning & Computer Vision DeepX is an R&D-intensive and innovation-driven consortium led by DEEPXTECH S.R.L. Italy, Covijn Ltd (“Co-vision project”) the United Kingdom, and AIMech Technologies (“Omnidetector” product) the U...
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NA
10 - 49
2018
United States, Italy
DeepX
Computer Vision and AI Workforce
0.0 (0 Reviews)
Services

Computer Vision and AI Workforce solutions tailored for your business
At DeepX, we synergize our multi-year expertise to dive deep into each business’ specifics and achieve measurable business benefits. With our continuous research and a history of successful computer vision software development projects, we offer highly specialized expertise in some of the most challenging fields of computer vision.

Our services include, but not limited to the following:

  • Computer Vision custom web & software development
  • Computer Vision products integration
  • Video intelligence-based applications development
  • AI-Powered real-time communication implementation and development
  • Machine Learning and Artificial Intelligence systems design & development
  • Computer Vision and Video Intelligence consulting
  • Artificial Intelligence and Machine Learning consulting

List of DeepX Computer Vision Products:

DeepX offers a suite of off-the-shelf products complimenting our Machine Learning and Computer Vision software development services. Our solutions can allow you to save months and sometimes years in development and implementation time, ensuring competitive advantage and unlocking new possibilities for your business.

  1. DeepX Pipeline
    A robust and high-load Machine Learning and Computer Vision infrastructure orchestrating complex Machine Learning pipelines enabling us to process multiple imaging/video sources in real-time and with high Frames Per Second value.
     
  2. DeepX Active Dashboard
    A cross-platform web application providing the human operator with situational awareness, featuring automated signal importance triage, automated camera/scene switching and zooming, automated false positive and false negative detection inference, and many other features enabling your team to stay informed and in control.
     
  3. DeepX Tap
    A cross-platform mobile application, enabling the functionality of DeepX Active Dashboard in your pocket and at your fingertips. Additionally, DeepX Tap features (1) seamless video streaming from iOS and Android smartphones using WebRTC technology; (2) push notifications; (3) real-time feedback alerts, all these ensuring you have a constant information flow between your HQ and your field operations, supporting best possible efficiency of your business processes and safety of your personnel.
     
  4. DeepX Smart Player
    Our state-of-the-art HTML5 / React.js web application tightly integrated with our Pipeline and Active Dashboard solution. Featuring: smart video search & indexing – Computer Vision technology reviews terabytes of your video archives, tags and cross-references them so you can always find the footage you are looking for without having to spend hundreds of hours in processing; smart timeline – system highlights important objects and scenes in the video player timeline with color coding and hints saving your time in reviewing the footage.

 

Drop a message to our team to see how we can help.
DeepX experts will get back to you to discover a computer vision-assisted solution for your business.

Focus
Service Focus
Discussions
  • Artificial Intelligence
1 Answer
Deep Learning and Machine Learning are subsets of Artificial Intelligence. These intelligent processes consist of learning, reasoning, and self-correction.     Artificial Intelligence is a vast advancement in the technology sector. It utilizes human intelligence and is implemented by machines.     The fig. below depicts a clear representation of the matter:       Before knowing the differences between deep learning and machine learning, it's important to understand both the terms precisely.  Deep Learning  Deep learning is a part of artificial intelligence that functions by imitating the workings of the human brain in data processing and creating patterns that can be effectively used in decision making.       Deep learning originated from artificial intelligence (AI) that features networks capable of learning unsupervised from data that is unstructured or unlabeled.     Machine Learning   Machine learning is a faction of artificial intelligence (AI) that offers systems the potential to understand and modify from experience without being required to explicitly programmed.         Machine learning emphasizes on the development of computer programs that can identify patterns, learn from data and can operate with minimum human help.     Major Differences between Deep Learning and Machine Learning:   The significant and critical difference between deep learning and machine learning is classified in the way data is presented to the system.          Listing out a few more differences to make you clear about the differences between deep learning and machine learning:       Conclusion: The most straightforward way for understanding the difference between machine learning and deep learning is to understand the fact that deep learning is machine learning. More specifically, deep learning is considered as an evolution of machine learning. It utilizes a programmable neural network that provides an opportunity for the machines to make accurate decisions without human intervention.
Deep Learning and Machine Learning are subsets of Artificial Intelligence. These intelligent processes consist of learning, reasoning, and self-correction.     Artificial Intelligence is a vast advancement in the technology sector. It utilizes human intelligence and is implemented by machines.     The fig. below depicts a clear representation of the matter:       Before knowing the differences between deep learning and machine learning, it's important to understand both the terms precisely.  Deep Learning  Deep learning is a part of artificial intelligence that functions by imitating the workings of the human brain in data processing and creating patterns that can be effectively used in decision making.       Deep learning originated from artificial intelligence (AI) that features networks capable of learning unsupervised from data that is unstructured or unlabeled.     Machine Learning   Machine learning is a faction of artificial intelligence (AI) that offers systems the potential to understand and modify from experience without being required to explicitly programmed.         Machine learning emphasizes on the development of computer programs that can identify patterns, learn from data and can operate with minimum human help.     Major Differences between Deep Learning and Machine Learning:   The significant and critical difference between deep learning and machine learning is classified in the way data is presented to the system.          Listing out a few more differences to make you clear about the differences between deep learning and machine learning:       Conclusion: The most straightforward way for understanding the difference between machine learning and deep learning is to understand the fact that deep learning is machine learning. More specifically, deep learning is considered as an evolution of machine learning. It utilizes a programmable neural network that provides an opportunity for the machines to make accurate decisions without human intervention.

Deep Learning and Machine Learning are subsets of Artificial Intelligence. These intelligent processes consist of learning, reasoning, and self-correction.    

Artificial Intelligence is a vast advancement in the technology sector. It utilizes human intelligence and is implemented by machines.    

The fig. below depicts a clear representation of the matter:    

 

Before knowing the differences between deep learning and machine learning, it's important to understand both the terms precisely. 

Deep Learning 

Deep learning is a part of artificial intelligence that functions by imitating the workings of the human brain in data processing and creating patterns that can be effectively used in decision making. 

 

  

Deep learning originated from artificial intelligence (AI) that features networks capable of learning unsupervised from data that is unstructured or unlabeled.    

Machine Learning  

Machine learning is a faction of artificial intelligence (AI) that offers systems the potential to understand and modify from experience without being required to explicitly programmed.    

 

 

Machine learning emphasizes on the development of computer programs that can identify patterns, learn from data and can operate with minimum human help.    

Major Differences between Deep Learning and Machine Learning:  

The significant and critical difference between deep learning and machine learning is classified in the way data is presented to the system.    

 

  

Listing out a few more differences to make you clear about the differences between deep learning and machine learning:    

 

Conclusion: The most straightforward way for understanding the difference between machine learning and deep learning is to understand the fact that deep learning is machine learning. More specifically, deep learning is considered as an evolution of machine learning. It utilizes a programmable neural network that provides an opportunity for the machines to make accurate decisions without human intervention.

Contact information
us
DeepX
548 Market St, San Francisco, California 94104-5401
United States
1-650-319-7241
it
DeepX
Via Della Valle 17, Brescia, Brescia 25128
Italy
gb
DeepX
38 Munden Grove, Watford, Hertfordshire WD24 7EE
United Kingdom
+447708220953
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