This paper presents the design and implementation, completely homemade, of an automated system for hydrophobicity studies of materials based on the sessile drop method. This parameter was evaluated from the measurement of the contact angle between the deposited liquid and the surface of the material. For this purpose, software for digital image processing was implemented using Python programming language in conjunction with the OpenCV library. Through various filters and functions, an adequate segmentation of the acquired images was achieved to identify their contours and make it possible to measure the contact angle. The system was validated using titanium alloys with their modified surface, finding a good agreement between the results obtained and those reported in the literature to evaluate their potential application as an implantable metallic biomaterial.