Intelligent Manufacturing

VCANUS Intelligent Manufacturing Solutions

Smart Vision. Precise Control. Seamless Automation.

VCANUS delivers end-to-end Intelligent Manufacturing Solutions by integrating TSLoom, VURT-X, VRCAM, Edge AI, and 3D Measurement technologies. Our expertise spans machine vision, robotic automation, and AI-driven process optimization, enabling manufacturers to achieve real-time monitoring, predictive control, and autonomous production. With proven experience in roll-to-roll coating, display defect classification, machine alignment, metal 3D printing, and laser-based material processing, we empower industries to enhance quality, reduce waste, and optimize efficiency through intelligent automation.

Why VCANUS Intelligent Manufacturing?

VCANUS enables manufacturers to:

• Automate complex processes using machine vision, Edge AI, and robotic systems.
• Monitor and control quality in real time with adaptive feedback.
• Optimize production workflows through AI-driven analytics and process simulation.
• Integrate seamlessly with MES, ERP, and PLC systems for closed-loop automation.
• Deploy scalable solutions tailored to specific industry needs.

Our solutions combine cutting-edge technology with deep domain expertise, delivering actionable insights and tangible ROI for smart factories.

Core Technologies & Solutions

1. Machine Vision-Based Intelligent Manufacturing

Leverage TSLoom and Edge AI to transform visual data into actionable intelligence:

Roll-to-Roll Coating System

• Meniscus Shape Detection: Use machine vision to detect meniscus shape characteristics.
• Coating Thickness Prediction: Apply AI models to predict coating thickness in real time.
• Process Optimization: Dynamically adjust coating parameters to ensure uniformity.

A side-mounted camera (axial view) observes the meniscus (coating bead) cross-section between the die lip and web in real time, closing the loop from machine-vision shape detection to AI thickness prediction and dynamic parameter tuning to ensure film uniformity.

Side camera placement: observing the meniscus cross-section from the coating-roll side (axial view)

Closed-loop control: side camera → meniscus shape detection → AI thickness prediction → parameter optimization

Display Defect Classification

• Defect Detection: Identify micro-defects in display panels using high-resolution cameras.
• Classification & Analysis: Classify defects by type, size, and location with machine learning.
• Root Cause Analysis: Correlate defects with process parameters to pinpoint issues.

Machine Alignment

• Edge & Polygon Detection: Use pattern matching and geometric alignment to set machine origins.
• Automated Calibration: Achieve micrometer-level precision in machine setup.

Metal 3D Printing System

• Melting Pool Monitoring: Capture IR camera images of the melting pool.
• Adaptive Laser Control: Adjust laser power in real time to maintain consistent melting pool size.

2. Distance Displacement Sensor-Based Manufacturing

Utilize 1D/2D displacement sensors for inline inspection and 3D profiling:

Inline Part Inspection

• 1D/2D Sensor Integration: Deploy sensors for real-time dimensional checks.
• Defect Detection: Identify surface defects, warpage, and dimensional deviations.

3D Shape Measurement

• 2D Sensor + Actuator Systems: Combine sensors with linear actuators to create 3D profiles of complex parts.
• Automated Reporting: Generate pass/fail reports based on tolerance limits.

Real-Time Dimensional Inspection	3D Profiling with Linear Actuators

3. Advanced Robotic Applications

Innovate with VRCAM and VURT-X for precision material processing:

Laser-Based Material Removal System

• 3D Scanning & Path Planning: Use VRCAM to map part surfaces and generate optimal tool paths.
• Adaptive Material Removal: Control robot-mounted lasers with VURT-X real-time control to remove material with micron-level precision.

Laser Sintering-Based Patterning System

• Laser Sintering Process: Create electronic circuit paths using laser sintering.
• Defect Inspection: Detect circuit defects with machine vision and AI-based analysis.

4. On-The-Fly Laser Processing

Perform laser marking and processing with a scanner while the workpiece moves continuously on a conveyor—without ever stopping it—dramatically reducing tact time compared to the step-and-repeat (stop-process-move) indexing approach. An encoder detects the conveyor travel in real time and the scanner controller continuously corrects the marking coordinates, so the part keeps moving yet is processed with the same precision as a stationary target.

2D On-The-Fly

• Feed Synchronization: Detect conveyor travel with an encoder and offset the X·Y galvanometer marking coordinates accordingly.
• Continuous-Line Application: Process flat workpieces at high speed without stopping on conveyor marking and cutting lines, with a fixed focal distance.

3D On-The-Fly — VCANUS Technology

• 3D Path Generation: Generate optimal processing paths that follow curved and stepped surfaces from the workpiece’s 3D surface data (height map / CAD model).
• Real-Time Dynamic Focus Control: Perform feed correction (X·Y) and surface-height tracking (Z) simultaneously, using a z-shifter (dynamic focusing module) to keep the focus on the surface even on curved, stepped, and cylindrical geometries.
• Precise Synchronization: Align the encoder, scanner, and workpiece 3D coordinate systems and compensate for synchronization latency to maintain processing accuracy even at high feed speeds.

2D On-The-Fly setup 2-axis galvano scan head + encoder position feedback (flat targets)		3D On-The-Fly setup Dynamic Z-focus module tracks the focus (Δz) along curved surfaces

Key Benefits of VCANUS Solutions

Success Stories

Roll-to-Roll Coating System

• Challenge: Inconsistent coating thickness due to process variations, reflected in meniscus shape changes.
• Solution: Deployed machine vision + AI models to predict and adjust coating parameters based on real-time meniscus analysis.
• Result: Achieved 98% accuracy in coating thickness prediction

Raw Image	Meniscus Shape Detection	Feature Extraction

Display Defect Classification

• Challenge: Increase accuracy of defect classification.
• Solution: Enhanced defect detection performance by adding segmentation functionality and optimizing learning networks.
• Result: Achieved 5% improvement in defect detection and classification accuracy.

Metal 3D Printing System

• Challenge: Unstable melting pool size led to part defects.
• Solution: Used IR camera monitoring + adaptive laser control.
• Result: Achieved 20% improvement in part quality with real-time adjustments.

Laser-Based Material Removal

• Challenge: Manual material removal was inconsistent and time-consuming.
• Solution: Deployed robot-mounted laser scanners + VRCAM path planning + VURT-X real-time control.
• Result: Reduced cycle time by 20% and improved surface finish quality by 15%.

Why Choose VCANUS?

✅ Proven Expertise: Successful deployments in automotive, aerospace, electronics, and heavy industries.
✅ End-to-End Solutions: From sensor integration to AI analytics and robotic automation.
✅ Seamless Integration: Compatible with PLCs, MES, ERP, and third-party software.
✅ Scalable & Customizable: Solutions tailored to your unique production needs.
✅ Future-Ready: Continuous updates with latest AI, vision, and robotic technologies.

Industries We Serve

Get Started with VCANUS Intelligent Manufacturing

Transform your production with smart, data-driven solutions:

• Discuss a pilot project tailored to your needs.
• Schedule a demo of our machine vision, robotic, or Edge AI solutions.
• Explore custom solutions for your unique manufacturing challenges.