Product Images Sun Bum Kids Face Spf 50

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Product Label Images

The following 2 images provide visual information about the product associated with Sun Bum Kids Face Spf 50 NDC 69039-237 by Sun Bum Llc, such as packaging, labeling, and the appearance of the drug itself. This resource could be helpful for medical professionals, pharmacists, and patients seeking to verify medication information and ensure they have the correct product.

Label06 - Label06

Label06 - Label06

This is a drug facts label for a sunscreen face stick with broad-spectrum SPF 50. The product is water-resistant for up to 60 minutes and contains avobenzone, homosalate, octisalate, and octocrylene. It helps prevent sunburn, reduces the risk of skin cancer and early skin aging caused by the sun. Users should apply at least 15 minutes before sun exposure and reapply after swimming or sweating. The product should not be used on damaged or broken skin, and users should avoid contact with eyes. If swallowed, users should seek medical help or call a Poison Control Center immediately. The product is distributed by Sun Bum LLC and made in the USA with globally sourced components.*

Label07 - Label07

Label07 - Label07

This is a product description for a sunscreen manufactured by Sun Bum, LLC. The sunscreen is a clear sunblock that offers broad-spectrum protection and is water-resistant. The product comes in the form of a stick and has an SPF value of 50. The sunscreen is suitable for dry skin and is ideal for use when engaging in water-based activities. The product has a net weight of 0.07/15g. The user is advised to apply the sunscreen 15 minutes before sun exposure and reapply after 80 minutes of swimming or sweating or immediately after towel drying. The product should be reapplied every two hours and kept out of reach of children. The sunscreen also comes with warnings such as avoiding contact with eyes, limited sun exposure during peak hours, and the use of protective clothing like hats and long sleeve shirts.*

* The product label images have been analyzed using a combination of traditional computing and machine learning techniques. It should be noted that the descriptions provided may not be entirely accurate as they are experimental in nature. Use the information in this page at your own discretion and risk.