Abstract: An LED light cube/container for storage of children's glow in the dark toys is disclosed.

Abstract: An LED light cube/container for storage of children's glow in the dark toys is disclosed.

Abstract: A smart container capable of illuminating, mixing, blending, warming and dispensing media comprising glow-in-the-dark substances, cosmetics, masks, scrubs, lotions and oils to be applied to the body, the control of which is accomplished either by the container, or a smart device such as a phone, tablet, computer or smart watch. Either of the smart device or container being capable of independently recording video, audio, still photos and full capability live streaming of the use of said media or controlling the other to perform the same functions, either or both in any combination allowing the sharing of said recordings, audio or video or said live streaming content on social media platforms as directed by the user.

Abstract: Systems and methods for automatic enrollment and identity verification based upon processing a captured image of a document are disclosed herein. Various embodiments enable, for example, a user to enroll in a particular service by taking a photograph of a particular document (e.g., his driver license) with a mobile device. One or more algorithms can then extract relevant data from the captured image. The extracted data (e.g., the person's name, gender, date of birth, height, weight, etc.) can then be used to automatically populate various fields of an enrollment application, thereby reducing the amount of information that the user has to manually input into his mobile device in order to complete the enrollment process. In some embodiments, a set of internal and/or external checks can be run against the data to ensure that the data is valid, has been read correctly, and is consistent with other data.

Abstract: Systems and methods for automatic enrollment and identity verification based upon processing a captured image of a document are disclosed herein. Various embodiments enable, for example, a user to enroll in a particular service by taking a photograph of a particular document (e.g., his driver license) with a mobile device. One or more algorithms can then extract relevant data from the captured image. The extracted data (e.g., the person's name, gender, date of birth, height, weight, etc.) can then be used to automatically populate various fields of an enrollment application, thereby reducing the amount of information that the user has to manually input into his mobile device in order to complete the enrollment process. In some embodiments, a set of internal and/or external checks can be run against the data to ensure that the data is valid, has been read correctly, and is consistent with other data.