Advanced Convolutional Neural Network Technology in Automatic Soldering Robot

Quick Installation Fast Inspection Speed Remote Assistant Inline THT DIP AOI Before Wave Soldering

​Specification

Features

A. Core Algorithm: Convolutional Neural Network (CNN)

Industrial Applications & Innovations:

• Human-Level Inspection: Achieving inspection accuracy that rivals human perception.
• Enhanced Compatibility: Seamless integration with diverse industrial systems and environments.
• Training Model for Massive Datasets: Efficiently handling and training on extensive sample sets.
• High Generalization Capabilities: Ensuring the model performs well across various unseen data.
• Superior Detection Power: Reducing false positives and enhancing overall detection accuracy.
• User-Driven Self-Training Model: Empowering users to refine and tailor the model to their specific needs.

B. Elevated Wear Resistance: Ensuring long-lasting performance and durability in rigorous industrial settings.

C. Broad Inspection Area & High Compatibility: Covering larger areas with increased adaptability to different inspection tasks.

D. Optimized Inspection Rate & Minimal False Positives: Achieving faster inspections while minimizing erroneous results.

E. Marble Base for Enhanced Stability: Providing a sturdy foundation for precise and reliable operation.

F. Dual XY Linear Actuators: Offering unparalleled speed and precision for highly accurate inspections and movements.

Application

This inline THT (Through-Hole Technology) AOI (Automated Optical Inspection) system is strategically positioned after the wave soldering machine in DIP (Dual In-line Package) production lines. Its primary function is to identify and rectify incorrectly assembled units, thereby minimizing the need for subsequent repairs and significantly reducing downtime. By doing so, it effectively enhances the overall passing rate of the production process. This versatile machine finds extensive application in the inspection of various PCBAs (Printed Circuit Board Assemblies), including TV mainboards, PC mainboards, power boards, industrial control boards, mini household electronic appliances, and many more.

About Packaging