How ANSCENTER Brings Computer Vision to Industrial Automation

Innovation in industrial automation relies on the ability to create systems that are faster, more accurate, and easier to scale. Engineers working with LabVIEW and other integration platforms increasingly require reliable computer vision tools that extend beyond research demonstrations and can be deployed in production environments.

ANSCENTER offers a comprehensive computer vision solution for industrial automation, beginning with model design using ANSTS and extending to deployment with ANSVIS or LabVIEW APIs. This approach enables in-house teams to build and deploy AI without requiring deep expertise in machine learning, while ensuring performance and real-time responsiveness.

Why Computer Vision Matters in Industrial Automation

Visual data is abundant in industrial settings — cameras monitor assembly lines, robotic arms, and packaging systems. Without automation, inspection tasks are time-consuming and prone to human error. With computer vision, engineers can:

• Detect defects in production lines with higher accuracy than manual inspection.

• Monitor equipment in real-time for misalignment or missing parts.

• Automate repetitive quality checks in packaging and labeling.

• Collect research data without manual logging, freeing engineers for higher-level analysis.

For example, an electronics manufacturer can train a vision model with ANSTS to identify soldering defects on circuit boards, then deploy it through ANSVIS for real-time monitoring of multiple lines. This reduces downtime and ensures consistent quality across shifts.

ANSTS: Designing Vision Models In-House

ANSTS is ANSCENTER’s model design platform, allowing engineers to train and customize computer vision models without extensive programming.

Key features:

• Data labeling tools to prepare images quickly for training

• Pre-built vision templates for detection, classification, and segmentation tasks

• Hardware optimization to ensure trained models run efficiently on different devices

• One-click export for deployment in ANSVIS or directly in LabVIEW APIs

With ANSTS, teams can build domain-specific vision models — from surface defect detection to license plate recognition — tailored to their operations.

Native Deployment with LabVIEW APIs

For LabVIEW engineers, ANSCENTER provides native APIs to run AI directly inside the LabVIEW environment. This enables computer vision to be seamlessly integrated into existing workflows with minimal friction.

Highlights include:

• Direct model execution: Run ANSTS-trained models as LabVIEW VIs

• Ready-to-use blocks: Functions for face recognition, OCR, and license plate recognition

• Driver support: Access to multiple industrial cameras through a unified API

• Performance control: Local execution ensures predictable cost, reduced latency, and full control over system behavior

This path is best suited when AI processing needs to stay within the LabVIEW environment and system resources can handle the load.

External Deployment with ANSVIS

When scalability or load balancing is critical, models can be deployed through ANSVIS, ANSCENTER’s dedicated AI video analytics platform.

Engineers benefit from:

• Centralized management of multiple AI tasks and camera feeds

• Rule-based configuration to define triggers and automate responses

• Integration protocols to connect with LabVIEW or third-party systems

• Real-time dashboards and logs for monitoring and auditing

In this setup, LabVIEW handles system control while ANSVIS performs AI inference, ensuring reliable 24/7 operation without overloading local resources.

When to Choose Which Path

• Native LabVIEW APIs: Best for small-scale systems where AI must run locally inside LabVIEW for direct control and lower latency.

• ANSVIS Deployment: Ideal for medium to large-scale systems requiring scalability, centralized management, or integration across multiple devices.

Both paths share the same model pipeline: design in ANSTS → deploy in LabVIEW or ANSVIS depending on system requirements.

Final Thoughts

ANSCENTER provides engineers with a practical and flexible approach to computer vision in industrial automation. By combining in-house model design (ANSTS) with scalable deployment options (ANSVIS or LabVIEW APIs), teams can:

• Build domain-specific models quickly

• Deploy reliably in real-world environments

• Scale from single machines to factory-wide systems

• Maintain full control over performance and cost

For engineers, this means faster prototyping, smoother integration, and more effective automation — without needing to be an AI specialist.