In Colombia, tropical fruit export industry, specifically ''mango de azucar'' (sweet mango), is characterized for the manual treatment in each stage prior to commercialization, specially application of classification procedures according to local quality standardized criteria (NTC-5139). This research article describes the design of a mechanical prototype for automating the export-type ''mango de azucar'' (Mangifera Indica L) classification process. This prototype consists of a band system which allows conveying and rotating the fruit so that an acquisition system captures several faces of the fruit. Images obtained were analyzed through computational techniques which allow obtaining a 3-D approach, and this makes estimation of each fruit volume possible. Results of the operation of this mechanisms and the application of methods showed an accuracy over 90%.