Shoe company Ecco Indonesia is one of the world-quality shoe manufacturer, in its production processes of making a shoe brand that works in a conventional, so that production time becomes longer and less maximum results from the manufacture of seals including checking brands use the capabilities of the eye. Therefore, in this final project we want to make a shoe brand automatic checking machine by performing image processing, and Euclidean methods to detect defects at least a printed brand name. Euclidean method is a method of proximity search distance value of two pieces of variables, in addition to this method is also not easy to take a long process. In finding the value of the sample matrix, we use Mean Treamed method, this is a statistical method used to find the limit value of data collection. The success rate of defect detection using Euclidean methods with Treamed Mean is 96% with an average processing time of 1.8 seconds
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