Abstract: Systems, devices, and methods for secure data management and transfer for secure data transactions are provided. For example, disclosed herein are secure & tamper resistant smart cards configured to immutably store data and securely exchange at least a portion of the data via, for example, wireless networks and/or peer-to-peer networks. The smart cards comprise a plurality of dedicated hardware circuit blocks electrically coupled via a bus interconnection, the plurality of dedicated hardware circuit blocks configured to authenticate users, verify trust amongst the smart card and external devices, and encrypt sensitive data for secure transmission.

Abstract: Systems, devices, and methods for secure data management and transfer for secure data transactions are provided. For example, disclosed herein are secure & tamper resistant smart cards configured to immutably store data and securely exchange at least a portion of the data via, for example, wireless networks and/or peer-to-peer networks. The smart cards comprise a plurality of dedicated hardware circuit blocks electrically coupled via a bus interconnection, the plurality of dedicated hardware circuit blocks configured to authenticate users, verify trust amongst the smart card and external devices, and encrypt sensitive data for secure transmission.

Abstract: At least one of a user-buyer device or a point of sale (POS) device having a UI (user interface) is configured with hardware, software, or algorithmic protocols, configurations, and safeguards that combat attempted unauthorized activity and theft by malicious attackers. Such configurations are in place to safeguard transactions between an authenticated buyer-user device and a POS device. Using digital certificates at one or both of the POS device or buyer device enables the other party to verify the other party and ensure that some malicious device has not intercepted communications or performed some man-in-the-middle attack.

Abstract: There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Abstract: There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Abstract: Systems, devices, and methods for secure data management and transfer for secure data transactions are provided. For example, disclosed herein are secure & tamper resistant smart cards configured to immutably store data and securely exchange at least a portion of the data via, for example, wireless networks and/or peer-to-peer networks. The smart cards comprise a plurality of dedicated hardware circuit blocks electrically coupled via a bus interconnection, the plurality of dedicated hardware circuit blocks configured to authenticate users, verify trust amongst the smart card and external devices, and encrypt sensitive data for secure transmission.

Abstract: Systems, devices, and methods for secure data management and transfer for secure data transactions are provided. For example, disclosed herein are secure & tamper resistant smart cards configured to immutably store data and securely exchange at least a portion of the data via, for example, wireless networks and/or peer-to-peer networks. The smart cards comprise a plurality of dedicated hardware circuit blocks electrically coupled via a bus interconnection, the plurality of dedicated hardware circuit blocks configured to authenticate users, verify trust amongst the smart card and external devices, and encrypt sensitive data for secure transmission.

Abstract: A digital transaction is secured by leveraging tamper-resistant hardware associated with at least one of the devices involved in the transaction. The mechanism that controls the transaction between a sending device and a receiving device, such as the application or an application plugin, is configured to allocate a high degree of trust to at least one of the devices with tamper-resistant hardware. This way, any confirmations and representations from the device with the tamper-resistant hardware can be trusted and locally relied upon. The tamper-resistant device is configured with rules to prevent certain actions, such as double spending and overspending, among other rules. Thus, so long as the receiving device can verify that the sending device is configured with tamper-resistant hardware, the receiving device can trust that the sending device is acting within the confines of its prescribed rules and that the money will transfer.

Abstract: There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Abstract: Systems, devices, and methods for secure data management and transfer for secure data transactions are provided. For example, disclosed herein are secure & tamper resistant smart cards configured to immutably store data and securely exchange at least a portion of the data via, for example, wireless networks and/or peer-to-peer networks. The smart cards comprise a plurality of dedicated hardware circuit blocks electrically coupled via a bus interconnection, the plurality of dedicated hardware circuit blocks configured to authenticate users, verify trust amongst the smart card and external devices, and encrypt sensitive data for secure transmission.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: There is presented a system and method for providing real-time object recognition to a remote user. The system comprises a portable communication device including a camera, at least one client-server host device remote from and accessible by the portable communication device over a network, and a recognition database accessible by the client-server host device or devices. A recognition application residing on the client-server host device or devices is capable of utilizing the recognition database to provide real-time object recognition of visual imagery captured using the portable communication device to the remote user of the portable communication device. In one embodiment, a sighted assistant shares an augmented reality panorama with a visually impaired user of the portable communication device where the panorama is constructed from sensor data from the device.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.

Abstract: Systems and methods of quickly recognizing or differentiating many objects are presented. Contemplated systems include an object model database storing recognition models associated with known modeled objects. The object identifiers can be indexed in the object model database based on recognition features derived from key frames of the modeled object. Such objects are recognized by a recognition engine at a later time. The recognition engine can construct a recognition strategy based on a current context where the recognition strategy includes rules for executing one or more recognition algorithms on a digital representation of a scene. The recognition engine can recognize an object from the object model database, and then attempt to identify key frame bundles that are contextually relevant, which can then be used to track the object or to query a content database for content information.