As living standards continue to improve, while pursuing product quality, refinement has also become a common aspiration. Behind these refined products lies an increasingly sophisticated demand for manufacturing processes such as processing, assembly, and testing. Machine vision will be increasingly widely used in industry, gradually replacing manual inspection and identification tasks. So, what exactly can it do for workers? Let's take a look with Guochen Robotics.
1. Appearance Defect Detection: In terms of defect detection, visual defect detection equipment can analyze the defect characteristics of the inspected object and create a defect feature library. It can detect whether there are defects on the surface of the product online, such as scratches, damage, defects, particles, oil stains, dust, missing corners or incomplete parts of injection molded products, improper packaging, and missing printing, etc. Product quality that must be inspected by the eyes can be replaced by machine vision technology, which is more accurate, faster, more efficient and can better ensure the reliability of product quality than human eyes.
2. Visual Positioning Service: Automatically identifies the location of objects, accurately locates their coordinates, and outputs the location information according to a specific communication protocol. This function is often used in automated assembly lines and manufacturing processes, such as automatic assembly, automatic welding, automatic packaging, automatic filling, and automatic painting. It is often used in conjunction with automatic electric actuators ( robotic arms, welding machines, spray nozzles, etc. ) .
3. Visual Dimension Inspection: This function allows for online automatic measurement and control of product dimensions, including appearance, outline, diameter, height-to-width ratio, width, spacing, and area, to determine if the product meets manufacturing requirements. This feature is widely used in the production of high-precision products, such as electronic components, automotive parts, mobile phone components, screws and nuts, hardware, magnetic materials, plastic and ceramic composite components, and magnesium, aluminum, and their alloys. Utilizing online non-contact measurement not only avoids any damage to the product but also improves productivity and ensures manufacturing accuracy.
4. Pattern Recognition: Online identification of product appearance and color detection to accurately locate parts of items; also includes QR code identification and character recognition. Widely used in packaging printing for loading space characters, 1D or 2D barcodes, etc.
