DZUKI

A gantry configuration AOI system (i.e. the camera moves over the parts; the parts themselves do not move). Its a self contained unit with monitor, cpu/gpu, xy stepper motors and driver, plc for external communication, LED lighting, camera and lens, mini keyboard ,wifi/ethernet and IOT enabled. Its customizable with a wide range of travels, short and long. Options are available for application-specific camera / optics / illumination module. Automatically generates reject and accept signals to a PLC that can be used for communication with robots or other automation equipment. NO programming knowledge needed. For detecting different types of defects, just take a large number of pictures of each type of defect, label them, train the system and deploy all in 5 simple steps.

• Deep learning AOI systems are good at addressing complex surface and cosmetic defects, like scratches and dents on parts that are turned, brushed, or shiny.

• Used to locate, read, inspect, or classify features of interest,

• Differs from traditional machine vision in its ability to conceptualize and generalize a part’s appearance.

• Applications include defect detection on wafers, leds, PCBs etc

Image Classification helps us to classify what is contained in an image. Our deep learning image classification software was developed to provide a system that is easy to set up in a step by step approach. It's menu driven and runs on Windows 10 OS. It also runs on Ubuntu and Mac (command driven). For image classification the steps involve capturing or importing image samples, classifying the samples, training the samples, analysis and real time deployment. The models generated can be imported into the image classification module in our AI Deep Learning cameras. Application is when the overall image of a part needs to be examined for example of an assembled part or packaging. For agricultural products such as fruits to decide the grade.