Retinoblastoma is a malignant cancerous tumor that arises in the retina. This type of intraocular cancer occurs in 94.1% in children under 5 years of age and with an incidence of 1 in every 16,000-18,000 births. Given this problematic situation, the present research proposes the development of a system for the detection of retinoblastoma composed of an app and an algorithm of image processing, to identify the presence of leukocoria in the iris that is shown as a white pupil in flash photos. The system of the early detection of retinoblastoma was designed and implemented, afterwards was tested with a control group (20) and a case group (15). The total sample (35) was composed of members between 6 months and 45 years old, where 25.71% are female and the remaining 74.29% are male. The 92% of the total sample indicates the correct functioning of the Retino App mobile application. Besides, the system's algorithm has correctly identified the 93.33% of the cases and the 95% of the controls.