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

①4K image acquisition: triggered by the sensor, capturing images at an ultra-high speed of 80 ms.

② Preprocessing: distortion correction and edge enhancement.

③ Model-based inference: defect detection, with single-frame processing time of 50 ms.

④ Dimension measurement: sub-pixel-level calibration with ±2 mm accuracy.

⑤Hierarchical decision-making: intelligent classification and I/O output control.

⑥ 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.

⑦ Automatic palletizing: The 4-axis column palletizer completes the palletizing process.

Project Implementation and Delivery Assurance

1 Five-Stage Delivery Process

Phase 1: Hardware Deployment–Installation 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 Training– Provide comprehensive technical documentation and a model iteration toolchain

System Operating Environment Requirements

project
ask
working temperature
0~40℃
relative humidity
20–80% (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

About Us

Engineer Contact

Sales Contact

WhatsApp:+86 15963965590