Subcutaneous radiofrequency: prospective pilot study on safety and efficacy in face chrono-ageing treatment

Objective: to evaluate the efficacy, safety and tolerance of the face aging treatment using subcutaneous radiofrequency in patients with mild, moderate e severe ptosis of the middle face. Material and methods: prospective data from patients treated with subcutaneous radiofrequency. Patients underwent two treatment session carried out by the same surgeon. The principal efficacy criterion was the assessment of depth reduction of the naso-labial fold and malar prominence’s restoration after 3 and 6 months, the evaluation of the Global Aesthetic Improvement Scale by the patients and an outside procedure surgeon was the second criteria. Safety and tolerance were evaluated through observed side effects. Result: A total of 30 patients, 27 women and 3 men with a mean age of 53 years underwent subcutaneous radiofrequency procedure. Depth’s reduction of the naso-labial fold and malar prominence’s restoration was observed in the majority of all case, associated to the patient e medical satisfaction. Transitory adverse effects, commonly for cosmetic procedure e.g erythema, edema was not observed. One patient had post procedure hematoma. No serious adverse effects such as burning or scars were reported. Conclusion: This prospective pilot data confirmed that subcutaneous radiofrequency is a safe and effective in improvement in skin laxity. Patients’ satisfaction was high. Although this treatment cannot substitute surgical procedure, it might prolong the time to the first surgical facial lift. Further confirmation investigation should be performed.

Identification of Lost Children using Face Aging with Conditional GAN

Face recognition technology is a big area that consists of the many features in it but it also comes with some of the factors which affect this technology, one of the factors is Face aging which makes face recognition more difficult. As in India, a large number of children go missing every year. Also just using a photograph is not enough for the process to proceed smoothly and it results in a huge percentage of the missing child cases remain untraced. This paper presents a novel use of face recognition with face aging to overcome the limitation of existing systems. The proposed system has a portal where the public can upload an image of a suspected child and also have a feature where searching for any lost child is possible. The proposed system has mainly concentrated on an Age Conditional generative adversarial network (C-GAN) algorithm for face aging and the FaceNet algorithm for face feature extraction and face recognition.