Safe Sea Spf 50 Kids Lotion
Product Images NDC 65435-0200

View Photos of Packaging, Regulatory Labels, and Product Appearance

Product Visual Gallery

This gallery contains 2 technical images submitted to the FDA as part of the official labeling for Safe Sea Spf 50 Kids (NDC 65435-0200). Unlike standard consumer photos, these assets often include clinical data figures, molecular chemical structures, and official manufacturer packaging layouts.

As provided by Nidaria Technology Ltd, these visuals offer a comprehensive scientific overview of the product's physical and chemical identity, aiding pharmacists and researchers in product verification and study.

FDA Label Image

Back (Kids Back)

Back (Kids Back)
Safe Sea SPF 50+ Marine Friendly Sunscreen is a water-resistant sunscreen intended to protect against sunburn and skin damage resulting from prolonged sun exposure. This sunscreen is formulated with active ingredients, such as Titanium Dioxide 10%, Homosalate 10%, Sunscreenate 5%, and Avobenzone 3%, and inactive ingredients, including Aqua, Dibutd Adpate, Polyglyoerl 2 Dipolydroxysteerse, and others. It is designed for sensitive skin and does not contain Oxibenzone& Octinoxate. The Safe Sea Marine Friendly sunscreen is not intended for use on broken skin and should be kept out of reach of children. Concerns about usage or reactions should be directed to a doctor.*
FDA Label Image

Front (Kids Front)

Front (Kids Front)
Safe Sea is a new marine-friendly sunscreen designed to protect your skin without harming the oceans. It is perfect for those who love spending time at the beach and want to enjoy their favorite activities without worrying about harming the marine ecosystem. With its innovative formula, Safe Sea provides effective protection against sunburn and other harmful effects of the sun while being gentle on the skin and the marine fauna. Its motto is "Talse me to the Beachâ„¢", encouraging people to enjoy the beach responsibly and sustainably with Safe Sea sunscreen.*

* These product label images have been analyzed using experimental machine learning. Please verify findings with the primary label text.