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).

One or more embodiments set forth an audio presence detection system, with a memory that includes an acoustic presence detection application, and a processor that executes the acoustic presence detection application. The audio presence detection system receives a first input signal associated with a first speaker, and receives a second input signal associated with a first microphone. The audio presence detection system generates, via an adaptive filter, a first estimation signal based on at least the first input signal and an impulse response associated with a room related to the first speaker and the first microphone. The audio presence detection system computes a first error signal based on the second input signal and the first estimation signal. The audio presence detection system determines that an object is present within a space based on a magnitude associated with the first error signal relative to a first threshold level.

An auditable security system for preventing unlawful diversion of goods and/or services is provided. The security system includes a secure enclosure, an access control system that generates audit data, cameras proximal to the access control system, cameras located in the secure enclosure, a video management system that manages the cameras and generates video data, an exterior computing system configured to allow users to interface with the access control system, the video management system and data stored by the systems, and a database configured for storing data stored by the access control system and the video management system. When a user interacts with the access control system, the cameras begin generating audio and video data, which is stored, along with audit data, in the connected database. The audit data and video data is also provided to a third-party system for processing.

It is provided a sensor device comprising: a vibration detector configured to be provided in contact with a windowpane of a window; a sensor controller; and a cable between the vibration detector and the sensor controller; wherein the vibration detector comprises a piezoelectric sensor that is configured to wake up the sensor controller when a vibration is detected by the piezoelectric sensor.

An alarm arrangement may include a transmitter unit configured to be attached to a user's body. The transmitter unit may have a housing containing operatively connected electronic circuitry components, and water activated electrical contacts outside the housing for causing energization of the electronic circuitry when coming into contact with water so as to emit a chirp operative signal when the transmitter unit enters into water in a water zone being monitored by the alarm arrangement. A receiver unit may have a housing containing operatively connected electronic circuitry components and water activated electrical contacts outside the housing for causing energization of the electronic circuitry when coming into contact with water. The receiver unit may detect an operative signal from the transmitter unit when the transmitter unit comes into contact with water, and the receiver unit may then be configured to emit a suitable alarm signal.

It is provided a method for classifying vibrations detected in a structure of a building. The method is performed in a vibration classifier and comprising the steps of: determining a measurement period of a vibration signal; splitting the measurement period in a plurality of sequential sub-periods; calculating, for each one of the sub-periods, a variation indicator of at least one component of the vibration signal; and classifying a source of the vibration signal based on the variation indicators.

Example implementations include a method, apparatus, and computer-readable medium comprising executing a diagnostic tool locally at a control panel; and providing, by the diagnostic tool, via a display of the control panel, information related to a signal strength of a connection between the control panel and at least one device configured to communicate with the control panel over the connection.

A system and method for premises theft prevention and detection. A system comprises a media capture device, a target area and target object at a workstation, and operably configured code in non-transitory computer readably storage media. A system recognizes a theft or misappropriation and can notify a business owner or police. The system is powered by machine-learning algorithms that progressively improve accuracy and precision in theft detection.

Example implementations include a method, apparatus, and computer-readable medium comprising first broadcasting, by at least one primary speaker of a control panel, a first sound toward a front or a side of the control panel; and second broadcasting, concurrently with the first broadcasting, by a removable back speaker that is removably attachable to a back side of the control panel, a second sound toward the back side of the control panel. In some aspects, the removable back speaker is configured as a stand for placing the control panel on a flat surface.

Examples of systems and methods for locating movable objects such as carts (e.g., shopping carts) are disclosed. Such systems and methods can use dead reckoning techniques to estimate the current position of the movable object. Various techniques for improving accuracy of position estimates are disclosed, including compensation for various error sources involving the use of magnetometer and accelerometer, and using vibration analysis to derive wheel rotation rates. Various techniques utilize characteristics of the operating environment in conjunction with or in lieu of dead reckoning techniques, including characteristic of environment such as ground texture, availability of signals from radio frequency (RF) transmitters including precision fix sources. Navigation techniques can include navigation history and backtracking, motion direction detection for dual swivel casters, use of gyroscopes, determining cart weight, multi-level navigation, multi-level magnetic measurements, use of lighting signatures, use of multiple navigation systems, or hard/soft iron compensation for different cart configurations.