The present disclosure provides a method, an Internet of Things system and medium for monitoring smart gas harmful components. The method comprises: obtaining composition information of a gas and use information of a user; determining a generation rate of harmful components of the gas based on the composition information and the use information; and generating warning information in response to the generation rate of the harmful components being greater than a generation rate threshold.

Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.

Systems, methods, and articles of manufacture provide for systemic resource utilization analysis and management, such as employing a single-point sensor to detect or identify resource leakage at one or more other locations in a structure.

A method for determining whether shoppers are eligible for frictionless checkout is disclosed. The method may include obtaining image data captured using a plurality of image sensors positioned in a retail store; analyzing the image data to identify at least one shopper at one or more locations of the retail store; detecting, based on the analysis of the image data, at least one product interaction event associated with an action of the at least one shopper at the one or more locations of the retail store; based on the detected at least one product interaction event, determining whether the at least one shopper is eligible for frictionless checkout; and in response to a determination that the at least one shopper is ineligible for frictionless checkout, causing delivery of an indicator that the at least one shopper is ineligible for frictionless checkout.

An aberration engine that collects data sensed by a monitoring system that monitors a property of a user and aggregates the collected data over a period of a time. The aberration engine detects, within the aggregated data, patterns of recurring events and, based on detecting the patterns of recurring events within the aggregated data, takes action related to the monitoring system based on the detected patterns of recurring events within the aggregated data.

An aberration engine that collects data sensed by a monitoring system that monitors a property of a user and aggregates the collected data over a period of a time. The aberration engine detects, within the aggregated data, patterns of recurring events and, based on detecting the patterns of recurring events within the aggregated data, takes action related to the monitoring system based on the detected patterns of recurring events within the aggregated data.

Generally provided herein is a predictive policing system including at least one crime prediction server constructed to process historical crime data to produce a crime forecast assigning at least one geographic region to at least one crime type for use in crime prevention, deterrence, and disruption practices.

A method for monitoring and securing a facility without employing a manned control center, according to which a server acquires surveillance data from each of a plurality of distributed surveillance devices deployed within or adjacent to a given security sensitive facility. Then the server receives an intrusion alert from a guard, or from one or more of the plurality of surveillance devices to initiate a triggering event, if the acquired surveillance data is indicative of activity that has been detected at an indicated location. A first guard is alerted and presented with a full situational awareness image to assess the severity of the detected activity and the triggering event is terminated if found by the first guard to be of a low severity, or an interception operation initiated by self-dispatching or dispatching one or more additional guards to a close by location that holds tactical advantage relative to the indicated location if the triggering event was found by the first guard to be of a high severity.

A method for monitoring and securing a facility without employing a manned control center, according to which a server acquires surveillance data from each of a plurality of distributed surveillance devices deployed within or adjacent to a given security sensitive facility. Then the server receives an intrusion alert from a guard, or from one or more of the plurality of surveillance devices to initiate a triggering event, if the acquired surveillance data is indicative of activity that has been detected at an indicated location. A first guard is alerted and presented with a full situational awareness image to assess the severity of the detected activity and the triggering event is terminated if found by the first guard to be of a low severity, or an interception operation initiated by self-dispatching or dispatching one or more additional guards to a close by location that holds tactical advantage relative to the indicated location if the triggering event was found by the first guard to be of a high severity.

Excretion by a diaper wearer in a diaper is predicted by providing in or on the diaper on the wearer an excretion detector capable of detecting excretion by the diaper wearer and a motion sensor capable of detecting movements of the diaper wearer. The sensor continuously detects and at least temporarily records movements of the diaper wearer, and these detected movements are analyzed to determine movement patterns. Then, on detection of excretion by the detector, a movement pattern immediately preceding the detection of excretion is stored or flagged as a critical movement pattern. Thereafter each time movements matching the critical movement pattern are detected, a signal is sent to a user.