A detection system (10) for hazard detection is provided. The detection system (10) includes a control loop (16); an addressable base unit (18) connected to the control loop (16), the base unit (18) including a first near-field communication module (22) storing a unit address; and a mounting unit (20) removably coupled to the base unit (18), the mounting unit (20) including a second near-field communication module (24) operable to read the unit address from the first near-field communication module (22) and store the unit address so that the mounting unit (20) is thereby addressable via the control loop (16).

A presence detection system (100) including: an RFID interrogator (102); and a plurality of passive RFID tags (11 to MN), the RFID interrogator (102) is configured to: measure a received signal strength indicator (RSSI) level from each of the plurality of passive RFID tags (11 to MN); compare a measured RSSI level to a reference RSSI level for each of the plurality of passive RFID tags (11 to MN); and determine whether a difference between the measured RSSI level and the reference RSSI level is greater than a threshold value.

A quantum computing based video alert system converts captured video and audio signals, in real time, into a sequence of video qubits and a sequence of audio qubits. An entanglement score is generated based on a comparison of the video qubits to historical video qubits that are verified to show malicious activity. A second entanglement score is generated based on a comparison of the audio qubits to historical audio qubits that are verified to show malicious activity. A probability score is generated for each segment of the video qubit sequence and for each segment of the audio qubit sequence. If the probability score for the video qubit sequence, the audio qubit sequence, or a combination of probability scores for both the video qubit sequence and the audio qubit sequence meet a threshold, then an alert is generated to identify possible malicious activity at the location of a CCTV camera capturing the real-time data.

An electronic material sleeve has a length and wall thickness and is adapted to fit over a hand-held emergency medication dispensing device via material elasticity, the sleeve including at least a microprocessor and associated circuitry encapsulated within a wall of the electronic sleeve, the microprocessor adapted to support at least one computer aided task and at least one wireless communications technology, the sleeve having at least one encapsulated batter, a partly encapsulated charge port for charging the at least one battery, at least one LED partially encapsulated within a wall of the electronic sleeve, at least one audio speaker partially encapsulated within a wall of the electronic sleeve, and at least one eccentric rotating motor (ERM) adapted to vibrate encapsulated within a wall of the electronic sleeve, the sleeve capable of performing one or more tasks in response to a command signal.

A system and methods are provided for community outdoor fire protection comprising: receiving indicators of a current fire, and responsively determining a level of the current fire risk for each of multiple endpoints of a shared water supply; determining a relative duty cycle for operating each endpoint according to a fire risk; receiving a water pressure measurement of the shared water source and determining a maximum number of concurrent endpoints to operate; accordingly allocating operation of each endpoint to a set of time slots; and activating the multiple endpoints to turn on respective water flows according to the time slot allocation.

There is provided a method and apparatus for detecting a fall event of the user. In particular, the method includes collecting data associated with activities of the user from a plurality of sensors and distributing the collected data to data sub-windows using signal windowing and segmentation, the data sub-windows indicative of a pre-fall moment, a fall moment, and a post-fall moment. The method further includes extracting a plurality of features from one or more of the data sub-windows and determining whether the event is a fall event at least in part based on the extracted features. The determination of whether the event is a fall event can further be determined by applied support vector machine (SVM) technique. The developed machine learning based methods may be substantially optimum in terms of a trade-off between accuracy and complexity of the evaluation. The method further includes multiple rejection filters in order to aid with the prevention of false alarms due to fall-like activities of daily living (ADLs). The method further includes a personalization process to update the machine learning based methods associated with each user.

The invention provides a method for automatically analyzing and filtering redundant alarms in radio transceiver systems consisting of the following steps: step 1: the operator shall define the relationship between the alarms, defining rules to filter redundant alarms at the FRDU block; step 2: the FSU block will detect the alarm and send it to the FAFU block; step 3: FAFU block will receive alarms from FSU, based on the rules defined in FRDU block will analyze and filter out redundant alarms; Step 4: The FSMU block will receive the alarms after being filtered, stored in the database and also send these alarms to the EMS system.

The invention provides a method for automatically analyzing and filtering redundant alarms in radio transceiver systems consisting of the following steps: step 1: the operator shall define the relationship between the alarms, defining rules to filter redundant alarms at the FRDU block; step 2: the FSU block will detect the alarm and send it to the FAFU block; step 3: FAFU block will receive alarms from FSU, based on the rules defined in FRDU block will analyze and filter out redundant alarms; Step 4: The FSMU block will receive the alarms after being filtered, stored in the database and also send these alarms to the EMS system.

A smoke detector for an aspirating smoke detection system includes a housing that defines a detection chamber, wherein the housing includes a metallic layer optically exposed to the detection chamber; a laser arranged to direct a beam of light through the detection chamber; a photodiode arranged to detect light scattered from the beam of light; and a heater positioned proximate the metallic layer and outside of the detection chamber, wherein the metallic layer is configured to conduct heat from the heater.

A shock detector device (110) for premises security is described. The shock detector device (110) comprises a shock detector sensor (112) configured to sense physical motion and to output an electrical signal in response to the physical motion. Processing circuitry (114) is configured to process the electrical signal by: obtaining an indication that a shock event has occurred if a value for at least one parameter of the electrical signal is determined to exceed a threshold value; and processing instructions for adjusting at least one detection parameter of the shock detector device (110) in response to a determination that the shock event is a false alarm event, wherein the adjusting of the at least one detection parameter results in a decrease of a sensitivity of shock detection by the shock detector device (110).