A method, a device, and a computer program product for identifying objects in image data. The device is enabled to, in response to determining that an object type of a first set of object types is represented in the image data, indicate that the object type is represented in captured image data. The device is further enabled to, in response to determining that no object type of the first set of object types is represented in the image data, determine whether the image data comprises an object characteristic of a specific one of a second set of object types. The device is further enabled to, in response to determining that the image data comprises an object characteristic of the specific one of the second set of object types, indicate that the image data comprises an object characteristic of the specific one of the second set of object types.

A method, a device, and a computer program product for identifying objects in image data. The device is enabled to, in response to determining that an object type of a first set of object types is represented in the image data, indicate that the object type is represented in captured image data. The device is further enabled to, in response to determining that no object type of the first set of object types is represented in the image data, determine whether the image data comprises an object characteristic of a specific one of a second set of object types. The device is further enabled to, in response to determining that the image data comprises an object characteristic of the specific one of the second set of object types, indicate that the image data comprises an object characteristic of the specific one of the second set of object types.

A secure item including a first optical structure and a second optical structure, or an assembly comprising a secure item and another object. The first optical structure including a plurality of blocks and being one of a revealing screen and a combined image. The second optical structure being the other one. Each of the combined image blocks being made up of a plurality of interlaced images. The combined image or each combined image block including a periodic alternation of interlaced image elements. The elements of the interlaced images of a single interlaced image being the same color, but a different color from that of the other interlaced images. At least two blocks of the first optical structure each allowing the observation of a revealed image in each block of a first optical structure, showing different proportions of the interlaced images.

Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.

An imaging sensor device is configured to illuminate a viewing field using an array of focused light spots spaced across the viewing field rather than uniformly illuminating the viewing field, thereby reducing the amount of illumination energy required to produce a given intensity of light reflected from the spots. In some embodiments, the imaging sensor device can project an array of focused light spots at two different intensities or brightness levels, such that high intensity and low intensity light spots are interlaced across the viewing field. This ensures that both relatively dark and relatively bright or reflective objects can be reliably detected within the viewing field. The intensities of the light spots can be modulated based on measured conditions of the viewing field, including but not limited to the measured ambient light or a determined dynamic range of reflectivity of objects within the viewing field.

Disclosed are systems and methods for improving interactions with and between computers in a content generating, hosting and/or providing system supported by or configured with personal computing devices, servers and/or platforms. The systems interact to identify and retrieve data across platforms, which can be used to improve the quality of data used in processing interactions between or among processors in such systems. The disclosed systems and methods provide systems and methods for automatic discovery of high quality digital content. According to embodiments, the present disclosure describes improved computer system and methods directed to analyzing raw image data, such as features and descriptors of images in order to identify a high quality image(s). Such images can be identified from a database of images, and such images can be identified in real-time, or near real-time during the capture of an image(s) by a camera.