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Machine vision enables the automated visual inspection of manufactured products for quality and process control. Image is analyzed to determine the part's location, any defects, and dimensions. The results are then communicated to other equipments, such as programmable logic controllers, robots or motion controllers to perform a specific function.
Machine vision inspection to support emerging industries such as 5G, IoT, Automotive, Industry 4.0, etc. The solution has many innovative inspection capabilities and handles packages size up to 120 mm x 120 mm. It is suitable for various IC packages types, including BGA, QFP, QFN, CSP, TSSOP, MSOP, SOP and inspect for WETQFN, SiP, Lid Gap, Die Crack, Inner Crack, Side Exposed Copper, etc.
The A.I. OCR is trained by using large sets of data, resulting in exceptional accuracy when it comes to recognizing texts. The performance of the A.I. OCR is leaps and bounds ahead of regular OCR.
SWIR solutions are designed with the Military-grade camera to provide high definition vision inspection results. It is capable of inspecting inner defects such as inner crack, component missing, delamination, chip-off & etc. within the package devices especially WLCSP which is unachievable by using standard solutions.
The semiconductor industry has grown to become one of the world’s largest industries which covers a wide variety of applications, ranging from processor and memory integrated circuits for electronics to solar cells.
The solder balls soldered under the package and arranged in a grid pattern. As the demand for BGA in small package size has significantly increased in the recent trend, the quality of BGA has become highly important for industry.
It is suitable for turret-based handler solutions to provide high accuracy and quality inspection results. It also supports multi-pitch Ball Grid Array Inspection with size ranging from 1 mm x 1 mm to 16 mm x 16 mm.
Intelligent Mark Recognition (IMR)A.I. OCR technology is not affected by camera resolutions, font size, or the quality of the marking. By accurately interpreting characters amidst surrounding noise, A.I. OCR also improves detection capabilities with a better decoding rate.
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