 Elderly care has become increasingly important due to the ageing population. One of the main issues is falls among the elderly, which can lead to serious injury and increased health care costs. Researchers have been developing algorithms to detect falls automatically using RGB video data. Our deep learning algorithm achieved a mean recall of 0.916, suggesting its potential use in real world applications. We also plan to release the data set used in our experiment so that other researchers can further develop solutions for elderly care. Ultimately, this could improve the safety and quality of life of elderly people while reducing health care costs. This article was authored by Danielle Baradini, Sara Mocha, Alicia Migliorelli, and others.