find out how we can help your company
Leave a request so that we can advise you on our services
order a project
for your company
for your company
Leave a request and we will tell you how we can automate business processes
Computer Vision and AI for Industrial Robots
Expand Your Robots' Capabilities with Adaptive Computer Vision
We develop real-time computer vision solutions that seamlessly integrate with ROS-based and other robotic control systems. Our technology enhances robots with object recognition, environmental analysis, and adaptive learning, ensuring continuous improvement and human-in-the-loop processing when AI alone isn't enough.
We handle the entire lifecycle—from developing computer vision models to integrating, optimizing, and continuously retraining them for real-world performance.
We handle the entire lifecycle—from developing computer vision models to integrating, optimizing, and continuously retraining them for real-world performance.
WHO IS IT FOR?
Our computer vision solutions are designed for companies looking to automate and optimize robotic perception:
✔ Industrial Automation – Assembly lines, defect detection, quality control.
✔ Robotics Startups – Building ROS-based MVPs and prototypes.
✔ Logistics & Warehousing – Cargo inspection, robotic sorting, and navigation.
✔ Industrial Automation – Assembly lines, defect detection, quality control.
✔ Robotics Startups – Building ROS-based MVPs and prototypes.
✔ Logistics & Warehousing – Cargo inspection, robotic sorting, and navigation.
OUR SERVICES
Object Detection, Classification, and Real-Time Recognition
-
AI-powered object detection using YOLO (v5/v7/x) and custom deep learning models.
We use models like YOLOv8–YOLOv11 to accurately detect object type, position, and size. Our models work under low lighting, partial occlusion, and complex backgrounds. -
Real-time classification with operator fallback if AI recognition is uncertain.
In case of uncertainty in object recognition accuracy, the system redirects the task to an operator who reviews the result and makes the final decision. -
Low-latency inference optimized for Jetson Orin Nano, NVIDIA Xavier, and Intel Movidius.
Segmentation and Environmental Analysis
-
Precise segmentation for shape analysis, robotic grasping, and volume estimation.
Detecting object contours to analyze shapes, volumes, and boundaries. -
3D reconstruction using ArUco markers, depth sensors, and LiDAR fusion.
→ 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
→ Surface defect detection with real-time feedback.
→ Object size measurement with continuous AI improvement.
→ Environmental perception for robotic navigation and grasping.
Integration of Computer Vision Models with ROS
-
Developing ROS Nodes for CV
→ Processing 2D and RGBD video streams from ZED2i and other industrial cameras..
→ Transmitting vision data to other system components.
→ Synchronizing ROS messages (sensor_msgs, vision_msgs).
→ Real-time inference with human fallback for improved recognition rates. -
Seamless ROS 1 & 2 integration
→ Supporting both legacy and modern architectures.
→ Compatible with OpenCV, PCL -
Use Cases
→ Real-time defect detection and sorting in production.
→ AI-powered pick-and-place systems with confidence-based operator review.
Optimization & Deployment for Edge AI
-
Model Optimization
→ We ensure high-performance CV inference on resource-limited hardware, making AI faster and more efficient
→ Adapting models for Jetson Orin Nano, NVIDIA Xavier, and Intel Movidius using TensorRT or ONNX.
→ Quantization using TensorRT, ONNX, and pruning to reduce latency. -
Latency Reduction
30 FPS inference performance on embedded GPUs for real-time robotics. -
Use Cases
→ Reducing frame processing time to 25 ms on Jetson Xavier for robotic manipulators.
→ Ensuring uninterrupted 30 FPS operation in ROS-based systems.
Adaptive Learning & Human-in-the-Loop Processing
-
Unlike static AI models, our CV solutions learn and improve over time through an automated feedback loop
→ Automatic AI recognition
→ Failsafe operator intervention when AI is uncertain
→ Human-labeled corrections stored for retraining
→ Continuous model improvement with scheduled retraining
WHY CHOOSE US?
Adaptive AI & Continuous Improvement
Our human-in-the-loop retraining pipeline ensures your AI models get smarter over time, reducing errors and improving accuracy.
Optimized for Real-Time, Edge AI & ROS
We build lightweight yet powerful models that run efficiently on embedded hardware, ensuring real-time performance.
Seamless ROS Integration & CV Expertise
Our engineers specialize in ROS-based robotics, developing custom nodes, real-time message synchronization, and data fusion.
Human-Supervised AI for Critical Tasks
When AI fails, our human escalation process ensures safety and reliability, improving recognition with every interaction.
our cases
Are you ready to give your robots vision?
Contact us to discuss your project and get a ROS-integrated solution that works in real-world conditions!
By clicking on the "Submit" button, you agree to the privacy policy