AI + Machine Vision

A deep-learning-based industrial vision inspection system for automated product-quality inspection. Combining computer vision and AI, it gives smart manufacturing its "intelligent eye."

Coming soon

Core Capabilities

Defect Detection

Deep-learning algorithms automatically identify surface defects, with accuracy above 99%.

Dimensional Measurement

Sub-pixel-precision measurement for micron-level dimensional inspection.

Object Recognition

Real-time workpiece recognition and localization, supporting multi-target detection in complex scenes.

Use Cases

1

Surface Defect Detection

Detects scratches, dents, stains, and other surface defects -- replacing manual inspection to improve efficiency and accuracy.

Industries

Consumer electronics, automotive parts, textiles

2

Precision Dimensional Measurement

Non-contact, high-precision dimensional measurement, monitoring in real time whether products meet spec.

Industries

Precision manufacturing, PCB, semiconductor

3

Character Recognition (OCR)

Reads serial numbers, production dates, QR codes, and other markings on products to enable traceability.

Industries

Packaging, logistics, food & beverage

4

Assembly Verification

Checks whether components are correctly assembled and flags missing or incorrect parts, ensuring assembly quality.

Industries

Automotive manufacturing, home-appliance assembly

5

Color Sorting

Precisely identifies and classifies product color, ensuring appearance consistency.

Industries

Apparel, printing, cosmetics

6

Robot Vision Guidance

Gives robots visual-positioning capability, guiding precise pick-and-place of workpieces.

Industries

Smart warehousing, automated production lines

Technology Stack

1

Image Capture

Industrial cameras, lighting systems, and lens components form a high-quality image-capture system

2

Image Preprocessing

Denoising, enhancement, and correction algorithms improve image quality

3

AI Detection Algorithms

CNN, YOLO, Transformer, and other deep-learning models power intelligent detection

4

Result Output

Visualized detection results, statistical analysis, and integration with MES/ERP systems

Technical Advantages

High Accuracy

Deep-learning models trained on large datasets achieve over 99% detection accuracy, far exceeding manual inspection

High-Speed Inspection

Millisecond-level detection speed meets high-speed production-line demands without affecting takt time

Continuous Learning

Supports online learning and model updates, continuously improving detection performance as data accumulates

Easy Deployment

Modular design with edge-computing support enables rapid deployment on the production floor

Coming soon

The AI + Machine Vision solution is in active development -- stay tuned.