Computer Vision Case Studies

The success stories we share below testify ScienceSoft’s expertise in developing custom image analysis software. The solutions we implement are tailored to the specific needs of our customers and address a wide range of image processing tasks, including facial and emotion recognition, quality control and damage assessment, computer-aided diagnosing, optical character recognition, and others. Look through our projects and don’t hesitate to turn to us for assistance if you haven’t found a project similar to yours.

Development of Image Analysis Software for Automated Optical Inspections

ScienceSoft creates industrial image analysis software for automated optical inspection of printed circuit assemblies. The application based on machine vision techniques can significantly enhance the PCA manufacturing workflow, saving the time and ensuring the highest quality standards are met.
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Development of an Application for LED Display Quality Diagnostics

ScienceSoft developed a cross-platform application for Linux and Windows for real-time video monitoring, error detection and notification that allows the Customer to instantly identify problems with showing advertisements on their LED displays.
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Development of Software for Defect Recognition in Polyurethane Film

ScienceSoft empowered a leading petrochemical company with image recognition software for improving quality control at a company’s PU film manufacturing division and detecting film defects in real time.
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Full-Cycle Testing of Two Image Processing Applications for a Global Digital Imaging Leader

ScienceSoft’s testing team provided comprehensive testing of 2 image processing desktop applications for a European product company delivering powerful image processing software for professional photographers, amateurs and manufacturers of photography equipment.
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Development of a Facial Recognition Application for Retail

A strategic solution to help retailers track customers by scanning and identifying faces. Now, for marketing purposes, businesses can gather and analyze information about consumers as well as detect potential criminals.
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