Abstract: Techniques for ability enhancement are described. In some embodiments, devices and systems located in a transportation network share threat information with one another, in order to enhance a user's ability to operate or function in a transportation-related context. In one embodiment, a process in a vehicle receives threat information from a remote device, the threat information based on information about objects or conditions proximate to the remote device. The process then determines that the threat information is relevant to the safe operation of the vehicle. Then, the process modifies operation of the vehicle based on the threat information, such as by presenting a message to the operator of the vehicle and/or controlling the vehicle itself.

Abstract: Computationally implemented methods and systems include acquiring a device-based encrypted image that is an image that has previously been encrypted through use of a particular device code associated with an image capture device configured to capture the image, wherein the image includes a representation of a feature of an entity, decrypting the device-based encrypted image in response to an indication that the image has been approved for decryption, and creating a client-based encrypted image through encryption of the decrypted image through use of a particular client code that is associated with a client that is linked to the image capture device configured to capture the image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

Abstract: A system for detecting and responding to an intruding camera. The system includes an electronic media display device having a screen configured to display content, a sensor, and a processing circuit. The processing circuit is configured to obtain information from the sensor, analyze the information to determine a presence of a camera, and edit any displayed content in response to the presence of the camera.

Abstract: Computationally implemented methods and systems include facilitating a head wearable computing device to receive one or more solicitations via one or more solicitation signals that solicit to provide to a limb wearable computing device gesture indicative data that is indicative of one or more user gestures, the head wearable computing device being designed to be worn on a head of a user and the limb wearable computing device being designed to be worn around a limb of a user; and directing the head wearable computing device to transmit to the limb wearable computing device the gesture indicative data via one or more low-power gesture indicative data signals, the limb wearable computing device being within communication range of the head wearable computing device. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: A method of converting user-selected printed text to a synthesized image sequence is provided. The method includes capturing a first image of printed text and generating a model information associated with the text.

Abstract: Computationally implemented methods and systems include acquiring an image that includes a depiction of a feature of one or more entities, attaining identification of a particular entity of the one or more entities for which the depiction of the feature is present in the image, and obtaining relationship data that indicates whether the particular entity has a relationship with a device that facilitated acquisition of the image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more ingredient integrity preferences related to integrity of one or more ingredients; determining that there is no capable automated customized food generation machine present in nearby vicinity of the user that is able to currently generate one or more customized food items in compliance with the one or more customized food preferences of the user; and identifying one or more substitute automated customized food generation machines present in the nearby vicinity of the user that are able to currently generate at least one substitute customized food item that is only in partial compliance with the one or more customized food preferences of the user. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring a block of encrypted data that corresponds to an image that has been encrypted through use of a unique device code associated with an image capture device configured to capture the image that includes a representation of a feature of an entity, obtaining a privacy metadata that corresponds to a detection of a privacy beacon in the image, said at least one image captured by the image capture device, said privacy beacon associated with the entity, and determining, at least partly based on the obtained privacy metadata, and partly based on a calculation related to the block of encrypted data that corresponds to the whether to allow one or more processes related to the encrypted data block. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring a block of encrypted data that corresponds to an image that has been encrypted through use of a unique device code associated with an image capture device configured to capture the image that includes a representation of a feature of an entity, obtaining a privacy metadata that corresponds to a detection of a privacy beacon in the image, said at least one image captured by the image capture device, said privacy beacon associated with the entity, and determining, at least partly based on the obtained privacy metadata, and partly based on a calculation related to the block of encrypted data that corresponds to the whether to allow one or more processes related to the encrypted data block. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for use in generating one or more customized food items that are customized specifically for the one or more users, the user information to be acquired including at least one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of the one or more customized food items for the one or more users, the one or more customized food items having been customized to show one or more visual indicators that provide customized information that has been customized in accordance, at least in part, with the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user preference information of a user that indicates one or more customized food preferences of the user including at least one or more preferences related to integrity of one or more ingredients for use in generating one or more customized food items; identifying one or more capable automated customized food generation machines that have one or more ingredients in one or more sufficient quantities to be able to currently generate at least one customized food item in accordance with the one or more customized food preferences of the user; and presenting, in response at least in part to the identification, one or more indicators that direct the user to at least one automated customized food generation machine. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

Abstract: Computationally implemented methods and systems include acquiring a captured image, wherein the captured image depicts at least one entity, performing a comparison between an estimated potential revenue generated from a distribution of the captured image and an estimated potential liability incurred for the distribution of the captured image, and modifying the captured image by placing at least one advertisement image at a particular location of the captured image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring user information associated with one or more users for preparing one or more customized food items for the one or more users, the user information including one or more user preferences related to integrity of one or more food ingredients to be included in the one or more customized food items; and directing generation of one or more customized packagings for holding the one or more customized food items of the one or more users, the one or more customized packagings having one or more features that are customized based, at least in part, on the acquired user information. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: Computationally implemented methods and systems include acquiring an encrypted image that is a captured image that has been encrypted through use of a particular device code associated with an image capture device that captured the captured image, wherein the captured image includes a representation of a feature of an entity, decrypting the acquired encrypted image that was encrypted through use of the particular device code, and performing a validation detection operation to detect a privacy beacon associated with the entity in the decrypted captured image. In addition to the foregoing, other aspects are described in the claims, drawings, and text.

Abstract: According to various embodiments, a mobile device continuously and/or automatically scans a user environment for tags containing non-human-readable data. The mobile device may continuously and/or automatically scan the environment for tags without being specifically directed at a particular tag. The mobile device may be adapted to scan for audio tags, radio frequency tags, and/or image tags. The mobile device may be configured to scan for and identify tags within the user environment that satisfy a user preference. The mobile device may perform an action in response to identifying a tag that satisfies a user preference. The mobile device may be configured to scan for a wide variety of tags, including tags in the form of quick response codes, steganographic content, audio watermarks, audio outside of a human audible range, radio frequency identification tags, long wavelength identification tags, near field communication tags, and/or a Memory Spot device.

Abstract: A system for detecting and responding to an intruding camera. The system includes an electronic media display device having a screen configured to display content, a sensor, and a processing circuit. The processing circuit is configured to obtain information from the sensor, analyze the information to determine a presence of a camera, and edit any displayed content in response to the presence of the camera.