Top 10 Future Trends in Industrial Machine Vision Systems
|10.6.2021||Posted by canrilloptics under Advertising & Marketing|
- Introduction to industrial machine vision system
Industrial machine vision system architecture is mainly divided into two parts: hardware equipment and software algorithm. The hardware equipment mainly includes light source system, lens, camera, image acquisition card and vision processor; the core algorithm in the software package mainly includes traditional digital image processing algorithm and image processing algorithm based on deep learning.
- 10 future development trends of industrial machine vision systems
The visual sensor in the industrial camera lens is continuously optimized in structural design;
The application of machine vision system increases the efficiency of industrial field programming;
The device-side deep learning model is continuously compressed and accelerated;
The improvement of computing power on the device side;
Combining computer vision and robotics technology to increase robot vision adaptive capabilities.
Micron-level non-destructive testing can be performed on defects of 3D printed products;
Visual information enhances the ability of autonomous perception in the processing of intelligent machine tools;
The application of intelligent vision equipment improves the operating efficiency and safety of factory employees;
Let industrial robots learn vision-based motor skills and operation strategies from actual work;
Automatic evaluation of the image quality of the cell microscope in the cytology research work.
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