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Your reliable custom software development partner.

Softarex Technologies, Inc. has a deep expertise in the field of Computer Vision.
15+ years of experience, 10+ completed projects in this sphere.

The eyes of a robot. Reality of the modern world

Tired of looking for a deep expertise in the field of Computer Vision? Want to get results, not theory?

Are you ready for your new Computer Vision project?

What Is That - Computer Vision?

Computer Vision is an interdisciplinary science that deals with the theory and technology of creating machines and software that can detect, track and classify different objects using video cameras. It studies the development of computer methods and systems capable of intelligently perceiving the world of images and video, as close as possible to human perception.

The scope of Сomputer Vision is very wide: from bar code readers in supermarkets to augmented reality. Along with Machine Learning, Computer Vision is one of the main directions in the development of artificial intelligence systems.

If the red eyes in Terminator represented a nightmarish future, now they are a new round of technology.

Computer vision

Computer Vision Technologies in The Most Common Application Areas:

  • 1. Any system in which intellectual analysis of visual information is required;
  • 2. Production sector/Industry (flaw detection, quality control, industrial robots), car manufacturing, electronic engineering, mechanical engineering, space technology;
  • 3. Medicine (automatic analysis of medical images - X-ray, tomography, ultrasonography);
  • 4. Human-computer interface based on gestures and facial expressions;
  • 5. Object management systems based on visual information analysis;
  • 6. Security systems (person identification, motion detectors, recognition and tracking of moving objects, recognition of car numbers, etc.);
  • 7. Recognition systems for handwritten or printed text, and image reconstruction;
  • 8. Systems for creating 3D models using 3D and 2D video cameras;
  • 9. Video compression based on the contents of the video stream (content-aware video compression);
  • 10. Games and multimedia applications.

The diagram below shows the areas of Computer Vision in
which our experts have a really rich experience

Static image analysis

Static Image Analysis

  • Face recognation and identification
  • Raster image tracing and convertion into vector images
  • Object analysis and identification
  • Optical charter recognation
  • Pattern/Images recognation
Motion analysis

Motion Analysis

  • Motion detection
  • Motion objects tracking, recognation and identification
  • Motion trajectory prediction
  • Action scenaries based on motion detection and recognation
Video stream recognation

Video Stream Recognation

  • Face recognation and identification
  • Charter recognation in video stream
  • Rules based objects and area monitoring
  • Production process monitoring and control
  • 3D reconstruction from frames sequence
  • Computer vision based control and management system
3D Cameras video recognation

3D Cameras Video Recognation

  • Scenario-based production area monitoring and process control
  • Product/objects volume measurement
  • Objects recognation and identification
Augmented virtual reality

Augmented and Virtual Reality

  • Interactive 3D simulators
  • Visualisation and modeling of process for interaction with user
  • Visualisation of production areas with data received from computer vision system

Our Team Experience and Theoretical Background

First Class Specialists
High-level Computer Vision requires 1st-class specialists.
Years of experience
Our team consists of specialists with 10+ years of experience in this growing sphere.
Articles
For this time they have published more than 100+ scientific articles and articles in the field of computer vision.

We use different methods for pattern recognition
and image processing

  • Image Normalization (automatic compensation of geometric transformation including projection transformation)
  • Tracking Normalization - methods that allow tracking of moving objects and various information for object management and recognition
  • Neural Networks
  • Segmentation algorithms
  • Moving detection based on differences in images
  • Objects recognition based on neural networks, correlations, partial correlations, and points of interest
  • Moving detection based on differences in images
  • Histograms analysis
  • Cluster analysis
  • Differential equations, integrals, mathematical morphology, numerical methods including our own solutions used for image processing
  • Skeleton Building Methods
  • Machine Learning algorithms
  • Realization of algorithms for working in real-time applications

How Cool The Completed Projects Can Be

Complex video surveillance system for video stream analysis
Complex video surveillance system for video stream analysis

Solutions:

Manufacturing and security

Technologies:

С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

  • Tracking of moving objects, predicting the movement trajectory and providing alarms in certain cases;
  • Calculating the objects volume, and in case that these objects are homogeneous, the weight of the object can be calculated;
  • With the help of neural networks, it is possible to recognize the type of the object and to calculate its number;
  • Measurement of the objects size possible in the system;
Faces and emotions recognition and identification system
Faces and emotions recognition and identification system

Solutions:

Healthcare security

Technologies:

С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

  • Face search in a video stream and face search in a photo database;
  • Multi-threaded search from many video sources and cameras;
  • Integral and local recognition methods: PCA, ICA, FLD, LFA, Fisher effects, hidden Markov models, and cluster analysis. Facial Actions Code System (FACS) and Neural Networks were implemented in the system;
  • Extraction of deformations and movements methods: Point Distributions Model (PDM) system was implemented;
  • Geometrical characteristics and appearance characteristics methods to identify a specific set of emotions were used.
System for analysis of images gathered under microscope
System for analysis of images gathered under microscope

Solutions:

Manufacturing and healthcare

Technologies:

С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

  • Analysis and identification of the object, counting the number, size and shape of objects;
  • Clinker quality analysis with the recognition of its structure and identity of the object’s form and size;
  • Identifying an object in images;
  • Raster image tracing and conversion into vector images;
  • Cluster analysis for finding similar photos.
System for tracking and gathering parameters of moving parts in observed objects
System for tracking and gathering parameters of moving parts in observed objects

Solutions:

Manufacturing and sport

Technologies:

С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

  • Monitoring and control of moving parts of different objects in real-time;
  • Collection of information about particular coordinates of some parts of objects from the video stream received from the camera;
  • Systems can check the state of some mechanical systems, movements of people and gestures in real-time;
  • Measure the coordinates of the necessary fragments or parts of the required objects and save the collected information for future analysis or generate the necessary actions depending on the specific needs of the system;
  • The system uses neural networks to process information from the video stream;
  • Requires minimal interaction with the user only on the first stage for defining fragments in a video stream with objects from which information should be gathered;
  • Service Execution - on the appointed day it is only necessary to come and receive the necessary treatment.
System for identification of volume, size, amount, and weight of various products
System for identification of volume, size, amount, and weight of various products

Solutions:

Manufacturing

Technologies:

С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

  • Building 3D model of objects based on video from camera;
  • Calculating the objects volume, and in case that these objects are homogeneous, the weight of the object can be calculated;
  • With the help of neural networks, it is possible to recognize the type of the object and to calculate its number;
  • Measurement of the objects size possible in the system;
  • Complex video surveillance system for video stream analysis

    Complex video surveillance system for video stream analysis
    Complex video surveillance system for video stream analysis

    Solutions:

    Manufacturing and security

    Technologies:

    С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

    • Tracking of moving objects, predicting the movement trajectory and providing alarms in certain cases;
    • Calculating the objects volume, and in case that these objects are homogeneous, the weight of the object can be calculated;
    • With the help of neural networks, it is possible to recognize the type of the object and to calculate its number;
    • Measurement of the objects size possible in the system;
  • Faces and emotions recognition and identification system

    Faces and emotions recognition and identification system
    Faces and emotions recognition and identification system

    Solutions:

    Healthcare security

    Technologies:

    С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

    • Face search in a video stream and face search in a photo database;
    • Multi-threaded search from many video sources and cameras;
    • Integral and local recognition methods: PCA, ICA, FLD, LFA, Fisher effects, hidden Markov models, and cluster analysis. Facial Actions Code System (FACS) and Neural Networks were implemented in the system;
    • Extraction of deformations and movements methods: Point Distributions Model (PDM) system was implemented;
    • Geometrical characteristics and appearance characteristics methods to identify a specific set of emotions were used.
  • System for analysis of images gathered from microscope

    System for analysis of images gathered under microscope
    System for analysis of images gathered under microscope

    Solutions:

    Manufacturing and healthcare

    Technologies:

    С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

    • Analysis and identification of the object, counting the number, size and shape of objects;
    • Clinker quality analysis with the recognition of its structure and identity of the object’s form and size;
    • Identifying an object in images;
    • Raster image tracing and conversion into vector images;
    • Cluster analysis for finding similar photos.
  • System for tracking and gathering parameters of moving parts in observed objects

    System for tracking and gathering parameters of moving parts in observed objects
    System for tracking and gathering parameters of moving parts in observed objects

    Solutions:

    Manufacturing and sport

    Technologies:

    С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

    • Monitoring and control of moving parts of different objects in real-time;
    • Collection of information about particular coordinates of some parts of objects from the video stream received from the camera;
    • Systems can check the state of some mechanical systems, movements of people and gestures in real-time;
    • Measure the coordinates of the necessary fragments or parts of the required objects and save the collected information for future analysis or generate the necessary actions depending on the specific needs of the system;
    • The system uses neural networks to process information from the video stream;
    • Requires minimal interaction with the user only on the first stage for defining fragments in a video stream with objects from which information should be gathered;
    • Service Execution - on the appointed day it is only necessary to come and receive the necessary treatment.
  • System for identification of volume, size, amount, and weight of various products

    System for identification of volume, size, amount, and weight of various products
    System for identification of volume, size, amount, and weight of various products

    Solutions:

    Manufacturing

    Technologies:

    С++, Java, PostgreSQL, AWS, Bluemix, Azure, OpenCV, Dlib, own algorithms. OS: Windows, Linux

    • Building 3D model of objects based on video from camera;
    • Calculating the objects volume, and in case that these objects are homogeneous, the weight of the object can be calculated;
    • With the help of neural networks, it is possible to recognize the type of the object and to calculate its number;
    • Measurement of the objects size possible in the system;

Got interested?

As a microchip in the system, small bonus about the future of Computer Vision

Computer Vision has several main applications-drivers of growth.

  • Robotics, including autonomous driving systems, which everyone now talks about. Robotics has always been the main patroness of Computer Vision, an area where its capabilities and results have been most in demand.
  • Systems connected with the Internet and with the so-called Big Data. The main players in the field of Computer Vision are large corporations, such as Google and Facebook, who need to process, understand, recognize, index a huge number of images, a billion or even tens of billions a day.
  • Physicians and scientists. They have more and more images but not enough time to analyse all of them.
  • Entertainment industry: computer games, virtual reality, augmented reality.
  • And, of course, video surveillance systems, biometrics, face recognition and so on - everything related to the Big Brother. But here we must emphasize that the applications associated with the Big Brother are only a small part of the application of Computer Vision.
Future Computer Vision

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Clutch
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We hired Softarex Technologies, Inc. for a large, complex development project. they did an exellent job. the project was done on time and on budget. We continue to work them on new projects.

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Kevin Woodward, ReadyTech Corporation President
www.readytech.com

We’ve been working with Softarex Technologies, Inc. team for over two years. These guys have brought us from the Stone Age to the Digital Age. Their team has developed the state-of-the-art billing and information management software for SYBE as well as web-based Clinic Management Software for SYBE’s clients. Both solutions are at the cutting edge, meeting all the requirements and standards: ANSI 835, 837; Meaningful Use; HIPAA, HL 7 and ODBS compliant; ICD 10 Diagnostics, CPT/HCPCS, NDC numbers; CMS-1500 claims, etc.

Steven Garret
Steven Garret, President of SYBE Medical Management
www.sybe.com

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Marc R. Bakerman
Marc R. Bakerman, President and Founder of The Child I.D. Program, Inc.
www.gogoid.com

What I found extremely interesting in Softarex Technologies, Inc. it is the possibilities to use wide range of technologies and each time get the same quality and time-requirement! I strongly suggest cooperating with Softarex Technologies, Inc.!

Carmine Mattera
Carmine Mattera, CTO of ArtenSys S.r.l.
www.artensys.it
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