AI-powered visual inspection for detecting surface defects, dimensional deviations, and product abnormalities across metal and plastic production.
SotaVision brings together AI, Computer Vision, image analysis, and industrial integration to support automated quality control across metal and plastic production.

Detect Surface Defects Automatically
Identify visible defects such as scratches, cracks, rust, small holes, and other surface abnormalities on manufactured parts and products. SotaVision can analyze different material surfaces and determine whether inspected areas meet defined quality requirements.

Detect scratches, cracks, rust, small holes, and other surface defects. Automate visual inspection of product surfaces and identify visible abnormalities consistently during production. Applications: Surface Inspection · Defect Detection · Quality Inspection

Identify differences between actual products and defined references. Compare captured product images with digital or reference models to identify dimensional deviations. Applications: Dimensional Inspection · Measurement · Quality Verification

Verify that components are present and correctly positioned. Use image comparison to identify missing or incorrectly positioned components before the product proceeds to the next production stage. Applications: Component Inspection · Assembly Verification · Position Inspection

Identify abnormal product conditions that are difficult to define with fixed rules. Use AI and Machine Learning to identify unusual visual patterns and product conditions beyond predefined visual thresholds. Applications: Anomaly Detection · AI Inspection · Quality Control
Add AI-powered defect detection, anomaly detection, and automated classification to existing camera and inspection environments.
Process images and deliver inspection results fast enough for inline production environments. SotaVision supports Edge/IPC deployment directly at the production line.
Work with existing industrial cameras, IPCs, and Edge devices, allowing manufacturers to reuse current inspection equipment.
Connect inspection systems with PLC, MES, ERP, SCADA, databases, and APIs to integrate quality inspection into existing manufacturing workflows.
