Fast delivery Smt Assembly Systems - Used SMT Assembly FUJI Nxt Work Head H12sq PCBA Pick and Place Head – Xinling
Fast delivery Smt Assembly Systems - Used SMT Assembly FUJI Nxt Work Head H12sq PCBA Pick and Place Head – Xinling Detail:
Used SMT Assembly FUJI Nxt Work Head H12sq PCBA Pick and Place Head
The intelligent parts sensor (IPS) is a camera that is loaded directly on heads for image recognition. For small parts, the part orientation in the cavity may not be as it should be at pickup due to static electricity generated when the top tape is peeled. This causes pickup errors to occur. There could also be cases in which the part is on the cusp of the permitted tolerance for such a deviation and thus would not be determined as a pickup error. The part would then be placed with that questionable stance. Because Fuji machines check the part stance from both the bottom and from the side, these kinds of poor part stances at pickup are detected. In this way, Fuji is able to raise the quality to a single PPM manufacturing quality level
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Innovation, excellent and reliability are the core values of our company. These principles today much more than ever form the basis of our success as an internationally active mid-size business for Fast delivery Smt Assembly Systems - Used SMT Assembly FUJI Nxt Work Head H12sq PCBA Pick and Place Head – Xinling , The product will supply to all over the world, such as: Finland, Singapore, South Korea, We have top engineers in these industries and an efficient team in the research. What is more, we have our own archives mouths and markets in China at low cost. Therefore, we can meet different inquiries from different clients. Please find our website to check more information from our products.
By Dee Lopez from Indonesia - 2018.07.26 16:51
Company director has very rich management experience and strict attitude, sales staff are warm and cheerful, technical staff are professional and responsible,so we have no worry about product,a nice manufacturer.
By Elizabeth from Vancouver - 2018.06.30 17:29
