The system provides automatic positioning function, which can automatically locate the steel coil and identify the diameter and end face position of the steel coil. At the same time, the number of marked products can be counted, and the operation of the system can be monitored in real time.
Product name: Rechecking system for Bundle Bars
Packing Details : Wooden box with fumigation or Wooden Fram
Shipping: Sea freight、Land freight、Air freight
Applicable to rebar Φ10-Φ40mm; it is mainly used for the secondary verification of the online counting system. the system counting process is checked by manual participation in the measurement. After the counting error is manually corrected, the counting accuracy rate reaches 100%;
Manufacture drawing | √ |
Process schedule with date | √ |
Install support now | √ |
Checking report | √ |
Photos &videos of each process | √ |
ISO 9001 certificate | √ |
Warranty Time | √ |
The third party Checking | √ |
Based on the accurate counting of the LW1000 system, the use of the LW3000 system of “secondary verification and counting using static bar side image recognition technology” will make the final stacking accuracy rate rise again by 1 to 2 orders of magnitude.
3.1 Main technical functions
3.2 Main technical parameters
Because the counting process of this system is manually involved in the measurement review, and the counting error is corrected manually, the counting accuracy rate reaches 100%.
Carry out data transmission with the original weighing system for judgment.
An automatic counting system is added at the weighing place to check the bundles of steel bars after the steel is divided.
After the device is collected, the appropriate position is checked by a machine vision system. The system includes digital image processing technology, optical technology, analog and digital video technology, and computer software technology. The end of the bar is imaged by a professional camera, and the center-enhanced video recognition is adopted, and the count of the bundle of steel is obtained through computer algorithm optimization. The system judges with reference to the weight and the number of steel branches, gives an alarm to the wrong branch, and reminds manual processing to reduce the error rate.
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