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Computer Vision

Use computer vision to recognize, analyze and classify images the way humans do.

What is Computer Vision?

Computer vision enables machines to recognize and identify objects on the images and in the videos as humans do, but with higher efficiency and better speed rate. Useful data can be extracted, captured and analyzed from image or video automatically. There are a  lot of data formats to be processed, including casual images, videos or camera views, and even three-dimensional data.

The range of tasks that can be performed with this technology is incredible. If earlier it could only find similar images and identify people more or less precisely, today the app can define defects in high-speed assembly lines or analyze medical images.

How We Can Help

Computer Vision Use Cases and Benefits

  • Safety and security

    The first and foremost case where computer vision can be implemented is security. Image and facial recognition allow to identify persons of interest literally in seconds, solving the most sophisticated issues. So the crime determination process becomes faster, safer and more reliable.

  • Authentication and enhanced computer-human interaction

    Being enhanced and improved, computer-human interaction provides better customer experience and leads to higher satisfaction level in general. There are services based on customer sentiment analysis in retail or quick authentication services based on customer identity and preferences in banking.

  • Content management and analysis

    Hundreds of thousands of images and files are added to social media every day. The revenue opportunities are highly improved by using computer vision technologies for data extraction and classification of images.

  • Autonomous driving

    Computer vision technologies allow auto manufacturers to make self-driving cars safer by improving the navigation system. So the main goal - to make self-driving cars commonly used - becomes closer to reality.

  • Medical imaging

    The speed, quality, and accuracy of the patient's medical diagnosis can be greatly improved by implementing computer vision technologies. So the treatment outcomes improve as well as life expectancy.

  • Manufacturing process control

    Quality assurance and operational efficiencies in manufacturing applications can be improved after using computer vision technologies in the process. So the reliability of the products increases as well as cost-efficiency.

The computer vision expertise: key points

Face recognition / detection

It is possible to analyze faces in the pictures, using such attributes as age, gender and even pose and smile.

Emotion analysis

Emotions can be monitored too. Analyzing the faces in real-life situations one can detect the feelings of the clients.

Video analytics

The popularity of video content continues growing so manual monitoring becomes too resource-consuming. Here computer vision comes, allowing to analyze the video in real-life situations.

Advanced recognition of optical characters

Automated scanning and converting PDF files or even papers to editable data format now is easy as it can be.

Image processing

Visual data processing now includes a real-time analysis and information extraction, not just detecting separate objects.

Case

Business Intelligence
Platform for Marketing

A SaaS MVP based on web scraping, data analytics, and data visualization. Used to provide insights about competitors and market, provide pricing recommendations.

Case

Fleet Management
System

Business software for remoting management of workers, vehicles and routing optimization. Based on GPS tracking, orders distribution and Big Data. Web and Mobile system includes cloud backend.

Case

Risk Assessment
Analytics

A data analytics module that can forcast insurance risks based on the user parameters compared to the custom unique dataset of huge insurance history.

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