Abstract: The present disclosure provides systems and methods for collecting distributed information regarding air quality and air management system performance, and providing recommendations for affecting the air quality, the air management system, or individuals subject to or in control of either the air quality or the air management system.

Abstract: Systems and methods for monitoring the condition of an air filter installed in an HVAC system and for monitoring the condition of the HVAC system. The monitoring system includes a processing unit configured to receive data representative of at least a first temporal parameter of the HVAC system. The processing unit can process the data to obtain an indication of the condition of the air filter and can also process the data to obtain an indication of the condition of the HVAC system.

Abstract: In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.

Abstract: A transaction-based content management system for a digital signage network displays a piece of content until a predetermined level of transactions occurs.

Abstract: The non-contact capture device allows for an image of an object to be captured when the object is not making contact with any portion of the non-contact capture device. The non-contact capture device comprises an electronic compartment comprising a camera and a light source, wherein the camera and light source are directed to an image capture region, a housing guide comprising a leg extending away from the electronic compartment to support a collar, and an image capture region spaced away from the electronic compartment and the housing guide. The collar extends laterally around only a portion of the image capture region forming an entry gap into the image capture region.

Abstract: The non-contact capture device allows for an image of an object to be captured when the object is not making contact with any portion of the non-contact capture device. The non-contact capture device comprises an electronic compartment comprising a camera and a light source, wherein the camera and light source are directed to an image capture region, a housing guide comprising a leg extending away from the electronic compartment to support a collar, and an image capture region spaced away from the electronic compartment and the housing guide. The collar extends laterally around only a portion of the image capture region forming an entry gap into the image capture region.

Abstract: In an example, a method includes capturing one or more friction ridge images of a finger at an instance in time, the one or more friction ridge images including a plurality of perspectives of the finger. The method also includes determining, from the one or more friction ridge images, a rolled fingerprint representation of the finger, the rolled fingerprint representation comprising data from the plurality of perspectives, and outputting the rolled fingerprint representation.

Abstract: Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.

Abstract: Systems and methods for improving visual attention models use effectiveness assessment from an environment as feedback to improve visual attention models. The effectiveness assessment uses data indicative of a particular behavior, which is related to visual attention allocation, received from the environment to assess relative effectiveness of the environment on influencing the particular behavior.

Abstract: The non-contact capture device allows for an image of an object to be captured when the object is not making contact with any portion of the non-contact capture device. The non-contact capture device comprises an electronic compartment comprising a camera and a light source, wherein the camera and light source are directed to an image capture region, a housing guide comprising a leg extending away from the electronic compartment to support a collar, and an image capture region spaced away from the electronic compartment and the housing guide. The collar extends laterally around only a portion of the image capture region forming an entry gap into the image capture region.

Abstract: At least some aspects of the present disclosure feature systems and methods for managing notes. The note management system includes a note source, a note recognition module, a note extraction module, and a note labeling module. The note source is a visual representation of a scene having a note. The note recognition module is configured to receive the visual representation and determine a general boundary of the note from the visual representation. The note extraction module is configured to extract content of the note from the visual representation based on the determined general boundary. The note labeling module is configured to label the note with a category.

Abstract: The present invention is directed to systems, articles, and computer-implemented methods for assessing effectiveness of communication content and optimizing content distribution to enhance business objectives. Embodiments of the present invention are directed to computer-implemented methods for a computer-implemented method, comprising conducting an experiment using experimental content to determine effectiveness of communication content and executing, while conducting the experiment, a machine learning routine (MLR) using MLR content to enhance an effectiveness metric.

Abstract: At least some aspects of the present disclosure feature systems and methods for note recognition. The note recognition system includes a sensor, a note recognition module, and a note extraction module. The sensor is configured to capture a visual representation of a scene having one or more notes. The note recognition module is coupled to the sensor. The note recognition module is configured to receive the captured visual representation and determine a general boundary of a note from the captured visual representation. The note extraction module is configured to extract content of the note from the captured visual representation based on the determined general boundary of the note.