SMT component counting machine X-2000
for electronicsautomaticX-ray

SMT component counting machine - X-2000 - Shenzhen Zhuomao Technology Co., Ltd. - for electronics / automatic / X-ray
SMT component counting machine - X-2000 - Shenzhen Zhuomao Technology Co., Ltd. - for electronics / automatic / X-ray
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Characteristics

Product applications
for SMT components
Domain
for electronics
Other characteristics
automatic, X-ray

Description

X-2000 Online SMD Components Counter System This equipment is mainly used for the rapid measurement of the reel type materials used in the SMT industry. It is based on the high industrial 4.0 standard, intelligent modular design, and can be used for 7-17 inch Tape Reel/JEDEC Tray/IC tide sensitive package. Piece, equipped with artificial intelligence deep learning software, cloud update system. Material types include all Resistance, capacitance, inductance, crystal, LED, diode, triode, multi-pin IC, etc. X-ray imaging technology is used to detect the production materials and obtain image information. The image is automatically counted by SEAMARK’s self-developed image algorithm to obtain the actual quantity of materials, and the number of materials can be classified according to categories and equipment. The data information is interfaced with the customer MES system. Application Automatic counting resistors, capacitors, inductors, crystals, LED, diodes, transistors, and other multi-pin IC etc. Please note: Specification are subject to change without notice! X-Ray X-2000 Online SMD Component Counters Scanner Advantage Advantage 1: Deep learning based on fully automatic counting algorithm Advantage 2: It does not take 3-5 days to enter data into the in-plant tray, which can be used directly. Advantage 3: Cumulative counting database sharing to all machines Advantage 4: More data, more reliable and more accurate Advantage 5: Can support 7~17inch tray Advantage 6: Support random location, excellent user experience Advantage 7: Algorithm/database permanent update and support Advantage 8: Extremely high reliability and repeatability based on deep learning

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