In Peru, 2 out of 10 children under five suffer from chronic malnutrition, negatively impacting their growth and development in later life. Timely diagnosis through nutritional status screening and monitoring are paramount; however, they are not routinely done and are subject to measurement errors. A novel body measurement data capture system, based on the use of mobile technologies and image processing, will allow on-site capture of body images of children for automated nutritional status assessment.