Photovoltaic Modules Screws Inspection Machine
Overview
As global solar production scales, the demand for defect-free fasteners used in photovoltaic module installation becomes critical. Even minor dimensional deviations or microscopic surface cracks can compromise installation strength, durability, and system safety.
This Photovoltaic Modules Screws Inspection Machine provides a fully automated, AI-assisted solution for inline quality control. Equipped with multi-angle cameras and deep-learning algorithms, the system captures and analyzes every screw — eliminating human error and ensuring traceable, data-driven quality management.
Inspection Objects
- Photovoltaic module mounting screws
- Inner hex bolts
- Self-tapping screws
- Bolt sets with flat washer and spring washer
Specifications
- Inspection Speed: Up to 400 pcs/min
- Applicable Screw Size: M3 - M10 (customizable)
- Measurement Accuracy: ±0.01 mm
- Vision System: Industrial cameras + AI deep-learning module
- Dimensional Measurements: Head diameter, Head thickness, Shank length, Shank diameter, Thread pitch, Helix angle, Thread length, Thread inner diameter
- Defect Detection: Head dents and edge cracks, Shaft burrs and scratches, Washer presence (flat/spring washer), Chamfer existence and accuracy
Key Features
AI-Powered Defect Detection
Integrated deep-learning algorithms detect micro-defects invisible to traditional vision systems, ensuring high precision and reliability.
Ultra-High Inspection Speed
Processes up to 400 screws per minute without sacrificing accuracy or repeatability.
Multi-Type Compatibility
One system supports inspection of three screw types:
- Inner hex bolts
- Self-tapping screws
- Bolt sets with washers
360° Vision Detection
Multi-camera layout captures all critical angles for head, shank, and threads, achieving complete visual coverage.
Stable and Reliable Sorting System
Pneumatic sorting ensures rapid separation of OK/NG parts, supporting continuous production without downtime.
Traceable Data Management
Built-in inspection reports, defect image storage, and result statistics ensure traceability and process optimization.