Abstract: A system for controlling heating, ventilation, or air conditioning (HVAC) equipment of a building includes one or more processing circuits configured to generate simulated building data using a simulation model of the building, pre-train a reinforcement learning (RL) model using the simulated building data, operate the HVAC equipment of the building using the RL model, and retrain the RL model using actual building data generated responsive to operating the HVAC equipment using the RL model.

Abstract: A system for controlling heating, ventilation, or air conditioning (HVAC) equipment of a building includes one or more processing circuits configured to generate simulated building data using a simulation model of the building, pre-train a reinforcement learning (RL) model using the simulated building data, operate the HVAC equipment of the building using the RL model, and retrain the RL model using actual building data generated responsive to operating the HVAC equipment using the RL model.

Abstract: Predictive theft notifications are used to coordinate appropriate responses to persons who are likely to commit acts of theft. Image data is generated and processed in a computer processing device to recognize the presence of a facial image comprising a face of a person. An analysis is performed of data representative of the facial image to determine a biometric match relative to one or more biometric models of facial images stored in a database. Based on this analysis, at least one predictive notification is generated with regard to a future potential theft of merchandise from the secured facility. The predictive notification is generated based upon a determination of the biometric match.

Abstract: Predictive theft notifications are used to coordinate appropriate responses to persons who are likely to commit acts of theft. Image data is generated and processed in a computer processing device to recognize the presence of a facial image comprising a face of a person. An analysis is performed of data representative of the facial image to determine a biometric match relative to one or more biometric models of facial images stored in a database. Based on this analysis, at least one predictive notification is generated with regard to a future potential theft of merchandise from the secured facility. The predictive notification is generated based upon a determination of the biometric match.

Abstract: A building energy system for a building, the building energy system including one or more memory devices configured to store instructions thereon, that, when executed by one or more processors, cause the one or more processors to receive a building model, the building model defining a physical construction of the building, generate predicted energy usage data of the building based on the building model and historical weather data, train a predictive building model based on the predicted energy usage data, wherein the predictive building model indicates a prediction of an optimal equipment operating setting, generate the optimal equipment operating setting based on the predictive building model, and operate one or more pieces of building equipment based on the optimal equipment setting to control an environmental condition of the building.

Abstract: Systems (100) and methods (300) for selectively controlling privacy masking of image and/or video content. The methods involve: performing privacy masking operations by a privacy masking component to encode at least one first captured image or first captured video with first privacy masking features obscuring privacy sensitive areas of the first captured image or first captured video; detecting an arming of an intrusion detection system or an alarm condition; and communicating a message to the privacy masking component for overriding the privacy masking operations such that at least one second captured image or second captured video is not encoded with second privacy masking features during a certain period of time, in response to the arming of an intrusion detection system or the detection of the alarm condition.

Abstract: Processing system and method for biometrics identification uses a plurality of biometrics capture devices and one or more network servers to provide cloud based biometric processing services. One or more gateway computers regulate data traffic as between the one or more servers and the biometric capture devices. The components of the system work cooperatively to reduce system bandwidth requirements and reduce a processing load upon various system components. The components are responsive to processing requests which dynamically selectively specify constituent steps in a biometric recognition process which are to be performed by each of the components.

Abstract: Processing system and method for biometrics identification uses a plurality of biometrics capture devices and one or more network servers to provide cloud based biometric processing services. One or more gateway computers regulate data traffic as between the one or more servers and the biometric capture devices. The components of the system work cooperatively to reduce system bandwidth requirements and reduce a processing load upon various system components. The components are responsive to processing requests which dynamically selectively specify constituent steps in a biometric recognition process which are to be performed by each of the components.

Abstract: Method for managing mobile point of sale (mPOS) operations using a wireless network to detect location data includes capturing video data of one or more customers within a retail store premises. The video data is analyzed to determine one or more customer behavior indicators potentially indicating a need for mPOS services. The location data is used to correlate the customer behavior indicators with the one or more customers. The method also involves determining a probability that at least one of the customers will be requesting mPOS services within a predetermined interval of time.

Abstract: Systems (100) and methods (300) for selectively controlling privacy masking of image and/or video content. The methods involve: performing privacy masking operations by a privacy masking component to encode at least one first captured image or first captured video with first privacy masking features obscuring privacy sensitive areas of the first captured image or first captured video; detecting an arming of an intrusion detection system or an alarm condition; and communicating a message to the privacy masking component for overriding the privacy masking operations such that at least one second captured image or second captured video is not encoded with second privacy masking features during a certain period of time, in response to the arming of an intrusion detection system or the detection of the alarm condition.

Abstract: Method for managing mobile point of sale (mPOS) operations using a wireless network to detect location data includes capturing video data of one or more customers within a retail store premises. The video data is analyzed to determine one or more customer behavior indicators potentially indicating a need for mPOS services. The location data is used to correlate the customer behavior indicators with the one or more customers. The method also involves determining a probability that at least one of the customers will be requesting mPOS services within a predetermined interval of time.