Abstract: Embodiments disclosed herein describe systems and methods for a lighting device that is configured to couple with the end of a ladder. The lighting device may be configured to illuminate a room within a building with different types of light being projected in different, predetermined directions. Therefore, a firefighter within the building may be able to determine the location of the ladder even if heavy smoke is positioned within the building. Accordingly, the firefighter may be able to enter the building quicker because the firefighter may not have to bring an extra light, while also allowing the firefighter to exit the building quicker.

Abstract: In certain embodiments, a camera or camera accessory device may read, via a sensor, a test image related to an environment of the device, and the device may obtain a feature vector of the test image that indicates a set of features representing the test image. In some embodiments, the device may perform clustering of sets of camera settings based on the feature vector of the test image to determine clusters of camera settings sets. The device may select, from the clusters of camera settings sets, a cluster of camera settings sets based on scores related to the images similar to the test image. The device may determine environment-specific camera settings based on the cluster of camera settings sets and cause a camera adjustment based on the environment-specific camera settings.

Abstract: Embodiments disclosed herein describe systems and methods for a lighting device that is configured to couple with the end of a ladder. The lighting device may be configured to illuminate a room within a building with different types of light being projected in different, predetermined directions. Therefore, a firefighter within the building may be able to determine the location of the ladder even if heavy smoke is positioned within the building. Accordingly, the firefighter may be able to enter the building quicker because the firefighter may not have to bring an extra light, while also allowing the firefighter to exit the building quicker.

Abstract: In certain embodiments, a camera or camera accessory device may read, via a sensor, a test image related to an environment of the device, and obtain, via a neural network, a feature vector of the test image that indicates a set of features representing the test image. The device may perform clustering of sets of camera settings based on the feature vector of the test image to determine clusters of camera settings sets, and select, from the clusters of camera settings sets, a cluster of camera settings sets based on scores related to the images similar to the test image. The device may determine environment-specific camera settings based on the cluster of camera settings sets, and cause a camera adjustment based on the environment-specific camera settings.

Abstract: Embodiments disclosed herein describe systems and methods for a lighting device that is configured to couple with the end of a ladder. The lighting device may be configured to illuminate a room within a building with different types of light being projected in different, predetermined directions. Therefore, a firefighter within the building may be able to determine the location of the ladder even if heavy smoke is positioned within the building. Accordingly, the firefighter may be able to enter the building quicker because the firefighter may not have to bring an extra light, while also allowing the firefighter to exit the building quicker.

Abstract: Embodiments disclosed herein describe systems and methods for a lighting device that is configured to couple with the end of a ladder. The lighting device may be configured to illuminate a room within a building with different types of light being projected in different, predetermined directions. Therefore, a firefighter within the building may be able to determine the location of the ladder even if heavy smoke is positioned within the building. Accordingly, the firefighter may be able to enter the building quicker because the firefighter may not have to bring an extra light, while also allowing the firefighter to exit the building quicker.

Abstract: Systems and methods to restrict or meter internet access and usage using virtual currency based on chores, behaviors, and activities. The systems and methods allow controlled internet access using positive rewards, negative rewards, positive punishment, and negative punishment. Described herein is a system and method to create chores, behaviors, and activities that either grant or remove access or allow the earning of points with the conversion of the points into recreational internet access time, money, merchandise, or other reward.

Abstract: Online systems, for example, social networking systems store features describing relations between entities represented in the online system. The information describing the features is represented as a graph. The online system maintains a cumulative feature graph and an incremental feature graph. Feature values based on recent user actions are stored in the incremental graph and feature values based on previous actions are stored in the cumulative graph. Periodically, the information stored in the incremental feature graph is merged with the information stored in the cumulative feature graph. The incremental graph is marked as inactive during the merge and information based on new user actions is stored in an active incremental feature graph. If a request for feature information is received, the feature information obtained from the cumulative feature graph, inactive incremental feature graph and the active incremental feature graph are combined to determine the feature information.

Abstract: A method and system for combining data for identifying compatibility, having the steps of accessing at least one data source to extract data from the at least one data source that substantially merges all user data, classifying the data using a classification system, generating a data vector for the data, storing the data vector in the classification system, assessing a user attribute vector to the user data, comparing the data vector and the user attribute vector to produce at least one relationship recommendation, and providing to the user the at least one relationship recommendation.