AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
AI Intelligent Veneer Sorting Machine
FOB
MOQ:
1
Shipping:
Express delivery
Product details
FAQ
Essential details
MOQ:1
Lead time:45days
Shipping:Express delivery
Product Introduction
Machine size:(L*W*H):27500*1600*2100mm
Total machine power:70kw
Machine real-time running power:30kw
Machine working speed:160m/min
Capacity:~60pcs/min
The size of the veneer can be sorted:1270*6500*(1.6-2.2mm) Intelligent AI recognition system:zhong wei Smart Technology Control System:Siemens
The number of Robots: two
The area of robot discharge:1000*7900mm

AI Intelligent Veneer Sorting Machine
Supported Types of Defect Detection
Tendon plate identification, live knot identification, dead knot identification, bark detection, crack analysis, notch/angle defect detection, hole identification, burr/tail blade detection, dimension identification, Mosaic enhancement detection, etc.






Full-process Real-time Processing Architecture

4K image acquisition: triggered by the sensor, capturing images at an ultra-high speed of 80 ms.

Preprocessing: distortion correction and edge enhancement.

Model-based inference: defect detection, with single-frame processing time of 50 ms.

Dimension measurement: sub-pixel-level calibration with ±2 mm accuracy.

Hierarchical decision-making: intelligent classification and I/O output control.

Intelligent sorting execution: The vision system provides four high-speed I/O channels (response latency <10 ms), employing pulse-count-based precise position triggering to automatically sort items into corresponding slots.

Automatic palletizing: The 4-axis column palletizer completes the palletizing process.



 Project Implementation and Delivery Assurance

1 Five-Stage Delivery Process

Phase 1: Hardware DeploymentInstallation of cameras, light sources, and servers; verification of imaging sharpness using MTF curves

Phase 2: Precision Calibration Joint calibration of grid pattern and encoder, standard measurement block calibration, and issuance of a test report. Phase 3: Model Training Sample collection and labeling, with transfer learning strategies reducing the training cycle by 50%.

Phase 4: System Integration Testing 7×24-hour stability tests and integration verification with the PLC

Phase 5: Delivery TrainingProvide comprehensive technical documentation and a model iteration toolchain


System Operating Environment Requirements

project

ask

working temperature

0~40

relative humidity

2080% (no coagulation)

levels of protection

IP65 rating, suitable for industrial environments with dust, humidity, and slight vibrations.

Conveyor Belt Requirements

operates at a constant speed without severe vibration

installation space

The production line reserves space for installing cameras and light sources.

power supply

220V/50Hz Stable Power Supply

computing platform

GPU: NVIDIA RTX industrial-grade graphics card; TensorRT acceleration with support for FP16 half precision; single card supports 4 parallel 4K video streams; edge-cloud collaborative deployment





Product details
AI Intelligent Veneer Sorting MachineAI Intelligent Veneer Sorting MachineAI Intelligent Veneer Sorting MachineAI Intelligent Veneer Sorting MachineAI Intelligent Veneer Sorting Machine

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