Bar Automatic Counting & Separating Robots

The Rebar Counting and Separation System is based on target recognition, tracking, and automatic separation technology for rod-shaped objects. It combines machine vision technology with artificial intelligence deep learning, offering non-contact precision and intelligent control.

The system features:

• Target Recognition and Tracking: This allows the system to accurately detect and follow individual rebars as they pass through, ensuring precise counting and separation.
• AI Deep Learning: Enhances accuracy by continuously learning and adapting to handle different rebar sizes and configurations, making it highly reliable over time.
• Non-Contact Machine Vision: Uses cameras or sensors to inspect and track the rebars without physical contact, which minimizes wear and ensures the system remains efficient.

The system is controlled by a precision servo displacement unit and consists of:

• Partial Separation Manipulator: Separates rebars with precision, ensuring they’re spaced correctly.
• Mechanical Steel Separator: Handles full separation of the rebars, especially when they’re bundled together.
• Sprocket Transmission Device: Drives the system, feeding the rebars smoothly for separation.
• Computer Control Unit: Manages all components, allowing users to set desired rebar counts and configurations with ease.

Key Benefits:

• High Precision: Reduces human error by automating the counting and separation process.
• Increased Efficiency: Speeds up the handling and bundling of rebars, making it ideal for high-volume production.
• Flexibility: Can be easily adapted to different rebar sizes and specifications.
• Cost-Effective: Reduces labor costs and minimizes the risk of mishandling or mistakes.
• Smart Learning: AI-based deep learning optimizes the system's performance, improving over time for even greater reliability.