Security camera overlooking a rainy terminal, representing real-time monitoring and computer vision development applications.

Computer Vision Solutions

Computer Vision Development Services

Softarex offers expert computer vision development to turn visual data into actionable insights. From precision inspection in manufacturing to patient monitoring in healthcare, our tools streamline operations, boost accuracy, and reduce manual effort.

Focus areas

Computer Vision Software Development

Softarex builds custom computer vision solutions that extract insights from visual data, enabling automation, enhanced decision-making, and real-time analytics across four key industries.

Real Time Video Analytics

Our systems analyze live video streams to detect events, behaviors, or anomalies instantly, supporting use cases like surveillance, traffic monitoring, and industrial process optimization.

MVP and PoC Development

We develop minimum viable products and proof-of-concept solutions to validate computer vision ideas quickly, helping you test feasibility, reduce risk, and accelerate time-to-market.

Face Recognition

Our face recognition solutions offer accurate identification and verification for security, access control, and personalized user experiences, even in complex lighting or crowded environments.

Object Detection, Tracking & Labeling

We develop systems that detect, label, and track objects in images or video, supporting applications like automated inspection, retail analytics, and autonomous navigation.

How we work

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1

Business Case Definition

Softarex works with you to define a clear, practical computer vision use case. We assess technical feasibility, data availability, success criteria, and ROI potential to shape a focused project scope.

2

Image Acquisition

Softarex selects and configures the right image sources — such as cameras or sensors — based on your business needs, environment, and data requirements.

3

Data Extraction

Our data specialists collect and filter relevant visual data, ensuring high quality and alignment with the problem statement to support accurate model training.

4

Preprocessing

We apply custom preprocessing methods — noise reduction, normalization, enhancement — to improve raw image quality and prepare data for effective learning.

5

Feature Extraction

Key features are identified and extracted to reduce model complexity and enhance decision-making accuracy, forming the foundation for efficient training.

6

Model Training & Evaluation

We develop deep learning models using tailored architectures, training them on curated data and evaluating performance using real-world metrics for precision and reliability

7

Deployment & Optimization

Softarex deploys the solution to cloud or edge environments, with continuous monitoring and optimization to ensure stability, scalability, and long-term performance.

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Industry use cases

Computer Vision in Healthcare

  • Medical image analysis
  • Patient monitoring
  • Diagnosis assistance
  • Remote patient monitoring
  • Efficient data management

Computer Vision in Healthcare

Computer Vision in Manufacturing

Computer Vision in Restaurants

Computer Vision in Healthcare

  • Medical image analysis
  • Patient monitoring
  • Diagnosis assistance
  • Remote patient monitoring
  • Efficient data management

Computer Vision in Manufacturing

  • Defect detection
  • Quality control automation
  • Production line monitoring
  • Logistics tracking
  • Predictive maintenance

Computer Vision in Restaurants

  • Food production line monitoring
  • Kitchen automation
  • Order accuracy verification
  • Inventory management
  • Waste reduction

Our experts

We are experts in software and hardware engineering. By using and combining cutting edge technologies, we create unique solutions that transform industries.

Maksim

Maksim

VP of Engineering

In over 13 years of my professional career, I have evolved into a visionary technology leader, overseeing engineering teams and large-scale projects across industries such as Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

As VP Engineering, I’m focused on driving innovation, optimizing processes, and delivering robust, scalable systems. A standout achievement in my career was leading the development of a cutting-edge Computer vision-based kitchen management platform for a large restaurant chain, which I consider a defining milestone in my professional journey.

Maksim1

Maksim

VP of Engineering

Yauheni1

Yauheni

Head of AI, Computer Vision & Robotics

Igor1

Igor

Lead Software Engineer

Maksim2

Maksim

VP of Engineering

In over 13 years of my professional career, I have evolved into a visionary technology leader, overseeing engineering teams and large-scale projects across industries such as Manufacturing & Energy, Restaurant & Hospitality, Aviation, and IT. I have hands-on experience with Mobile technology, Computer vision, Machine learning, Predictive modeling, Cloud computing, and SaaS.

As VP Engineering, I’m focused on driving innovation, optimizing processes, and delivering robust, scalable systems. A standout achievement in my career was leading the development of a cutting-edge Computer vision-based kitchen management platform for a large restaurant chain, which I consider a defining milestone in my professional journey.

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Yauheni2

Yauheni

Head of AI, Computer Vision & Robotics

With MA and PhD degrees coupled by multi-year scientific research experience, I am responsible for the development of knowledge-intensive solutions based on Computer vision, Predictive modeling, Deep learning and Machine learning technologies.

My responsibilities include planning and managing research, designing software architecture, developing project technical documentation and integrating research results into final products. My team and I always strive to apply the best practices of Computer vision and Machine learning to projects.

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Igor2

Igor

Lead Software Engineer

My career at Softarex started nearly eight years ago, and I am now a Lead Software Engineer. I have worked on developing a smart Production Control System for a restaurant chain, an AI-based computer vision and automation platform, a Store Occupancy Tracking system, and an app for analyzing player activity on the field.

As a skilled IT specialist with extensive knowledge in machine learning, deep learning, and computer vision, I have a strong background in model design, mathematical optimization, and developing complete ML/DL solutions. My experience includes building computer vision solutions for monitoring food production lines, recognizing license plates and faces, analyzing receipts, and creating intelligent automation tools like dietary recommendation and production control systems.

My main tasks involve leading teams, planning and designing software structure, coding, preparing technical documents, testing, and deploying solutions. I focus on continuous growth and always aim to include the latest technologies and best practices in every project I manage.

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