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Computer vision and artificial intelligence for industrial robots
Expand your robots' capabilities with computer vision and AI
We develop computer vision solutions that integrate seamlessly with various robot control systems and equipment, including ROS (Robot Operating System), to enhance robot capabilities—from object recognition to environmental analysis.
Our expertise covers the entire cycle: from developing computer vision models to their integration and optimization for real-time performance on your hardware platforms.
Our expertise covers the entire cycle: from developing computer vision models to their integration and optimization for real-time performance on your hardware platforms.
WHO IS IT FOR?
- Industrial Companies: Automation of assembly, sorting, and inspection processes.
- Robotics Startups: Creating MVPs and prototypes, including ROS-based solutions.
- Logistics Companies: Managing warehouse robots and inspecting cargo.
WHAT WE OFFER
Object Detection and Classification
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Real-Time Recognition
We use models like YOLOv8-YOLOv11 and others to accurately identify the type, position, and size of objects. -
Performance in Challenging Conditions
Our models are tailored to operate under low lighting, partial object occlusion, and complex backgrounds. -
Examples
→ Recognizing items on conveyor belts.
→ Identifying components in production processes.
→ Detecting defects on a cargo.
Segmentation and Environmental Analysis
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Object Segmentation
Highlighting object contours to analyze shapes, volumes, or determine boundaries. -
3D Reconstruction
→ Building point clouds for further analysis (leveraging ArUco markers and depth vision technologies).
→ Integrating CV with lidar data for SLAM and localization tasks. -
Use Cases
→ Defect detection on cargo surfaces.
→ Object Size Measurement.
→ Analyzing objects for manipulator grasping.
Integration of Computer Vision Models with ROS
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Developing ROS Nodes for CV
→ Custom nodes for video stream processing, supporting both 2D images and RGBD data from cameras like Zed2i.
→ Custom nodes for video stream processing and data transmission to other system components.
→ Synchronizing ROS messages, including handling sensor_msgs and vision_msgs. -
Integration with ROS 1 and ROS 2
→ Supporting legacy systems and modern architectures.
→ Seamless integration with popular libraries like OpenCV and PCL. -
Use Cases
→ Configuring pipelines for real-time object detection and sorting on production lines.
→ CV integration for mobile robot navigation.
Optimization of Computer Vision Solutions
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Adapting Models for Embedded Devices
→ Optimization for Jetson Orin Nano, NVIDIA Xavier, Intel Movidius using TensorRT or ONNX.
→ Model quantization to reduce computational load. -
Latency Reduction
Developing pipelines with minimal latency for real-time tasks, including GPU acceleration.Use Cases -
Use Cases
→ Reducing frame processing time to 25 ms on Jetson Xavier for a robotic manipulator.
→ Optimizing ROS systems for uninterrupted operation at 30 fps.
WHY CHOOSE US?
REAL-WORLD EXPERIENCE
Our projects include automating object sorting, cargo inspection, and robot navigation in warehouses and production facilities.
TECHNICAL EXPERTISE
We use advanced computer vision models (YOLOv8–YOLOv11, ResNet50, MobileNetV2) and have in-depth knowledge of ROS—from developing custom ROS packages to adapting existing solutions.
FLEXIBILITY AND ADAPTATION
We don't just integrate solutions—we tailor them to your requirements and provide support at every stage of implementation.
our cases
How we work
1
Task analysis
We study your requirements and determine the key parameters of the system
2
Development
We create ROS nodes and CV models adapted to your task
3
Testing
We conduct a simulation in the Gazebo and tests on real equipment
4
Implementation and maintenance
We deploy the solution from the client, train staff, monitor and retrain models
technology blog
Are you ready to give your works a vision?
Contact us to discuss your task and get a solution that integrates with ROS and works in real conditions!
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