MagicRay offers fast, accurate, powerful, and easy-to-use visual inspection solutions for industrial automation.
The equipment combines powerful imaging with a flexible and meticulous logic algorithm to capture all defects on components, such as wrong parts, missing parts, reverse and offset, various defects in solder joints, and the entire PCBA (like foreign objects, excess parts, solder balls).
Magic-ray’s 3D technology application displays component defects in three dimensions; SPI inspection intercepts most of the majority of the defect forming factors in the front production line; double-sided AOI is equipped with both SMT and DIP algorithms to achieve simultaneous detection of the front and back sides of the PCB, and our multifunctional coating AOI not only detects coating quality under UV light but also applies to SMT and DIP testing.
Magic-ray ensures a high-precision inspection in this field by utilizing our professional AOI, which is outfitted with a high-precision linear motor platform and high-resolution lens. Our machine, which is equipped with a dedicated gold wire detection algorithm, gold finger, and PCB detection algorithm, can provide specific high-precision detection solutions for chips, PCB, gold fingers, gold wires, and other components. In addition, it can be outfitted with a loading and unloading machine, as well as vacuum suction, push rod, and other mechanisms to achieve sealing off-line detection of automatic loading and unloading. It can participate in the docking of SECS/GEM and MES, as well as data intercommunication with the equipment of the entire line.
Magic-ray Mini LED AOI uses an ultra-high-precision lens that can support the minimum detection of 3*5mil chips and the detection of over 100,000 chips. The excellent contour cutting algorithm can accurately locate and cut the coating contour, and effectively detect the offset, diameter, eccentric distance, and other defects. For the detection of transparent coating, the AI algorithm can be used to comprehensively detect low-contrast defects such as air bubbles, wrinkles, and collapses. At the same time, based on the centralized statistics and analysis feedback on inspection data from each station, it aids in the analysis and improvement of the entire line’s production process.