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Computer vision for your business

We develop computer vision solutions for startups, retail, robotics, and industry. Our technologies automate quality control, product classification, and cargo inspection, reducing costs and improving operational accuracy.

What we offer

A Full Cycle of Computer Vision Solution Development

  • What It Is

    End-to-end development of computer vision solutions—from task analysis to deployment.
  • Who It Is For

    Companies looking to automate processes or improve accuracy with computer vision.
  • How We Work

    We take a startup-like approach: testing hypotheses quickly, validating results in real-world conditions, and iterating flexibly. This minimizes development time and costs while adapting to your needs.
  • Example

    Development of a quality inspection system with real-time defect detection.

MVP/PoC for Computer Vision Projects

  • What It Is

    Rapid prototyping to test hypotheses and showcase technology capabilities.
  • Who It Is For

    Startups and companies that need to attract investments, demonstrate proof of concept (to investors or partners), or test the feasibility of an idea in practice.
  • How We Work

    We simplify the task by breaking it into key stages, such as data labeling, creating a basic algorithm, and demonstrating its functionality. This approach saves time and resources while maintaining a focus on the core objective.
  • Example

    Built a waste-sorting prototype that helped secure investment during a pitch.

Migrating Server-Based Solutions to Real-Time on Mobile Devices

  • What It Is

    Optimizing computer vision algorithms for real-time use on smartphones, tablets, or wearables.
  • Who It Is For

    Businesses that need to move heavy computations from servers to mobile devices to cut costs and maintain performance.
  • How We Work

    We use platforms like MediaPipe to speed up video processing and optimize algorithms, reducing latency and power consumption without sacrificing quality.
  • Example

    Optimized a label recognition system for mobile cameras, achieving real-time processing at 25 FPS with 95%+ accuracy.

Computer Vision For ROS

  • What It Is

    Development of computer vision solutions for robotic and industrial systems, including automation, navigation, and manipulator control.
  • Who It Is For

    Companies using ROS that need reliable CV solutions for navigation, inspection, and interaction with the physical environment.
  • How We Work

    We integrate CV modules into ROS, setting up camera data processing, sensor synchronization, and ROS nodes for detection, analysis, and control.
  • Example

    Built a system for cargo damage detection and size estimation on a production line, achieving 95%+ defect detection accuracy and less than 2% measurement error.

Computer Vision for Retail

  • What It Is

    Object recognition and analysis solutions for retail, optimized for large product catalogs (5,000–25,000 items).
  • Who It Is For

    Businesses looking to automate inventory, stock control, or product classification in warehouses and retail locations.
  • How We Work

    We develop algorithms that ensure accurate product recognition in real-world conditions, handling challenges like variable lighting and different angles.
  • Example

    Created a product recognition system for warehouse logistics, reducing inventory time by 40% and improving accuracy to 98%.

WHY CHOOSE US?

FLEXIBILITY
We offer solutions tailored to your budget and tasks. From $10,000 prototypes to scalable systems for large companies
TECHNOLOGIES
We use advanced tools such as Mediapipe for mobile solutions, Tensor for performance optimization and YOLOv8 for accurate object recognition
EXPERTISE
More than 7 years of experience in retail, robotics and industry. For example, we have developed an automatic cargo inspection system, which has increased the control accuracy to 95%
RESULTS
We create solutions that work. One of our clients has reduced product inspection time by 40% thanks to the implementation of our CV solution

our cases


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