Industrial-grade visual inspection with AI precision
2D visual scanning with real-time defect detection. No post-processing delays.
Industrial-grade accuracy for critical quality control applications.
Instructable with controlled training. Adapt to specific defect types and quality criteria.
Seamless integration with existing production lines via PLC/MES connectivity.
Immediate decision-making capability for inline quality control.
Built for harsh manufacturing environments with reliability and robustness.
From image capture to automated action
High-resolution camera/sensor captures product images in real-time
Image normalization, enhancement, and region-of-interest extraction
Neural network analyzes images for defects, anomalies, and quality deviations
Classification and severity assessment based on quality thresholds
Real-time communication with production control systems
Automated sorting, rejection, or process adjustment
Quality control across manufacturing sectors
iVST™ is built for harsh manufacturing environments where reliability is non-negotiable. Robust hardware integration, fault-tolerant design, and proven performance in 24/7 production operations.
Unlike rigid rule-based systems, iVST™ can be trained on specific defect types and quality criteria. Controlled training process ensures the system adapts to your unique manufacturing requirements while maintaining consistency and traceability.
Designed for integration, not disruption. iVST™ connects with existing PLCs, MES systems, and production control infrastructure. Minimal downtime for deployment, comprehensive support for commissioning.
Evaluate production line, lighting conditions, and integration requirements
Configure camera placement, processing hardware, and network architecture
Gather representative samples of products and defect types
Train and validate detection models on customer-specific data
Connect with PLC/MES systems and configure decision logic
On-site testing, calibration, and operator training
Ongoing monitoring, optimization, and technical support