Abstract: Transporting loads is a fundamental component of intralogistics. Autonomous industrial trucks can be used for this. The autonomous industrial truck claimed according to the invention is able, by means of the implemented navigation, load receiving and load placing methods, to ensure efficient transporting of loads. The invention relates to an autonomous industrial truck having a rearwardly-directed sensor unit for detecting the load and the loading environment and implemented process sequences for approaching the load, receiving the load and placing the load.

Abstract: The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Abstract: A system and method for biobehavioral identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: Aspects of the disclosure provide techniques for using bio-behavior based information for providing and restricting access to a secure website or computer network and its assets to a user entity. The bio-behavior system and method 100 uses processes to learn models that relate heterogeneous data that connects the analog, physical space with the online/cyber world. The process is a nonparametric, probabilistic mixture model. The system 100 is capable of detecting behavioral patterns in mixed data composed of inputs of varying complexity. This includes the low-level, mainly unprocessed data generated by a user entity device's intrinsic sensors that monitor the internal state of the phone as well as extrinsic sensors that capture the state of the surrounding environment.

Abstract: Transporting loads is a fundamental component of intralogistics. Autonomous industrial trucks can be used for this. The autonomous industrial truck claimed according to the invention is able, by means of the implemented navigation, load receiving and load placing methods, to ensure efficient transporting of loads. The invention relates to an autonomous industrial truck having a rearwardly-directed sensor unit for detecting the load and the loading environment and implemented process sequences for approaching the load, receiving the load and placing the load.

Abstract: The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Abstract: A system and method for biobehavioral identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: The system and method disclosed performs entity authentication through identification proofing. A relying party such as a corporation or other type of entity having a secure website, computer network and secure facility working a risk engine can determine the authenticity, validation and verification during registration of a user entity. The identification proofing is integrated with a risk engine. The risk engine is capable of using bio-behavior based information which may be continuously monitored.

Abstract: A system and method for biobehavorial identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.

Abstract: A system and method for biobehavorial identification may include a user device, a secure system/client device, and a server. The elements of the system work together to monitor the biologic features (e.g., fingerprints, pupils, or the like) and behavior (e.g., wake time, exercise time, location) to verify the authenticity of a user requesting access to a database and/or secure facility.