Computer Vision (CV)

As a subcategory of CV, image recognition represents some specific uses for detecting and analyzing images:

• Data-based image search allows the detection of any photos or images that contain specific content
• Pose detection adds the capability to detect human body posture
• Optical character recognition (OCR) allows symbols in various visual elements including text, video, etc., to be searched
• 2D code reading
• Facial and pattern recognition allows the identification or verification of a person's identity using images of their face

Humans perceive the world as a 3D area while an image is a two-dimensional projection. This means that extracting useful and meaningful information from images/pictures has proven to be a surprisingly challenging task for computers. Not only should they perceive and recognize meaningful information in terms of optical illusions, but they also need to take into account the complexity of visual world perception.

With image handling, it's possible to process and convert the pictures and visual data to a format that is easier to use. Not only can you prepare them as input for a particular system project, but you can also automatically extract meaningful information from it for interpretation.

Movement assessment is the second major issue in computer vision and presents some difficulties when gauging an object’s positioning and movement. That’s why it’s imperative to perform some active motion investigation tasks to develop a computer vision-enabled system:

• Detecting 3D action from a series of pictures taken from a camera
• Tracking and analyzing motion
• Presenting motion structure
• Scene and image reconstruction

Maintaining details at the scene level brings some challenges when creating a computer vision system. Not only should we provide an initial estimate for a 3D scene by retrieving a set of data from the scene database, but it’s also important to effectively select the most consistent set of geometry to provide a final scene. In addition to that, removing noise is essential when generating more coherent, accurate 3D scenes.

Languages relevant to the computervision solutions include the following:

• C++
• Python
• Matlab

Our vision developers create each piece of computer vision development software the the application of these given languages.

We at our CV technology company apply the following frameworks when developing a CV-powered system:

• Matlab. An easy-to-use tool, MatLab helps our software engineers to create CV-based systems for image processing and quick modeling. Moreover, it opens ample opportunities to eliminate a great number of bugs
• OpenLab. As a multifunctional tool, it allows software engineers to work in five areas including acquisition, image presentation, storage, analysis, and automation to create CV-packed solutions for Linux/iOS/Android/Windows, etc. Not only does it help tailor the system to any business requirement, but it also provides great technical control and ensures that the output is high quality, effective and secure
• Scikit-Image. Working with C#, an image processing library allows software engineers to implement a plethora of algorithms and filters for image transformation. Moreover, it provides utilities for use in research, education, and industry applications
• SimpleCV. Being an open-source library, it solves many problems in the CV domain. Not only does it come with great APIs, but it also supports many complex algorithms for creating CV-powered systems

CV solutions are versatile and can be adapted to many industries, including:

• AI and ML
• Physics and Neurobiology
• Automotive and Manufacturing
• Retail and Healthcare
• Agriculture and Surveillance

Our CV development professional team can turn any idea into a top-notch computer vision solution for any customer!

CV Development applications Here are some examples of CV development applications:

• Facial Authentication and recognition
• Medical Image Segmentation and Diagnostics
• Robotics
• Security System Monitoring
• Pose Estimation
• Security system monitoring (business purposes)
• Interactive Medical Imaging
• Scene understanding

We at ServReality cv company can apply our measured and strategic approach to help you combat uncertainty when thinking about a computer vision project!