SOLUTION
Logistics industry solutions SOLUTIONS
Summary
With the development of logistics industry, it is becoming more and more important to identify and classify goods quickly and accurately. Machine vision technology can realize automatic detection, identification and classification of goods through image processing and pattern recognition, and improve logistics efficiency.
Industry Overview
In recent years, with the continuous development of technology, industrial robots are booming in the direction of intelligence. In the logistics industry, robots combined with 3D vision systems can replace manual labor to achieve automatic operations such as cargo sorting, detection, identification, palletizing and unpalletizing.
Solution Overview
Through visual inspection and segmentation, dynamic recognition and detection of parts, 3D high-precision attitude estimation, adaptive flexible grasping and intelligent planning, multi-robot cooperative job scheduling planning and other technologies, automatic, fast, accurate and flexible sorting of vertical parts is realized.
Solution Difficulties
1
Manual sorting
2
Low distribution efficiency
3
Slow speed
Solution Advantage
Automatic bar code recognition
The barcode image of the material under test is obtained directly by high-speed CCD camera, and then sent to the computer for image preprocessing, and then the barcode is read, decoded and verified to complete the barcode recognition.
Complete function
With the identification of material shape, size detection, automatic quantity detection technology and bar code recognition and other functions, through data analysis, can improve the efficiency of transportation and distribution, reduce logistics costs, more effectively meet customer service requirements, so as to achieve a fast, efficient and economical logistics system.
Increase circulation speed
Through the machine vision system and various conveyor belt as a connection, product identification and tracking. Such as bar code recognition, product online monitoring such as shape recognition, size detection, in order to carry out automatic material selection.