A computer-implemented event statistic generation method for intrusion detection comprises processing a plurality of return signals from a coherent optical time domain reflectometer into time domain signals for each of a plurality of sensor bins, the plurality of return signals corresponding to a plurality of stimulation pulses injected into an optical sensor fiber during a time period. For each sensor bin, the method comprises transforming the respective time-domain signal into a corresponding frequency-domain signal, calculating, from the respective frequency-domain signal, a first signal power area of a first frequency band expected to contain system noise, calculating, from the respective frequency-domain signal, a second signal power area of a second frequency band expected to contain any energy related to at least a first event; and generating an event statistic proportional to the ratio of the second signal power area to the first signal power area at least in part by dividing the second signal power area by the first signal power area.

A method for detecting fraud in the event of the purchase of at least one item by at least one user, the method including at least a step of capturing a plurality of data, including at least the following steps, a step of processing, by the computer processing unit, the plurality of data, including at least the following steps, a step of determining a probability of fraud.

Methods and systems include using three-dimensional imaging apparatuses to capture three-dimensional images and analyze resulting three-dimensional image data to enhance captured two-dimensional images for scanning related processes such as object identification, symbology detection, object recognition model training, and identifying improper scan attempts or other actions performed by an operator. Imaging systems such as bi-optic readers, handheld scanners, and machine vision systems are described using three-dimensional imaging apparatuses and described capturing three-dimensional images and using with captured two-dimensional images.

A method of detecting removal of a maintenance hatch includes transmitting an optical pulse along an optical fiber, wherein a first portion of the optical fiber is proximate to the maintenance hatch. The method further includes detecting backscatter light from the optical fiber using a sensor. The method further includes determining information related to the first portion of the optical fiber based on a comparison of the detected backscatter light and a trained model. The method further includes identifying whether the maintenance hatch has been removed based on the determined information.

An object detection system includes a first detection device configured to control a first camera to acquire a first image of a container and detect an object in the container based on the first image, and a second detection device configured to control a second camera to acquire a second image of the container. The second image is a more detailed or accurate image than the first image for detecting the object in the container based on the second image. The first detection device is further configured to train a learning model for detecting the object in the container based on the first image using detection results from the second detection device as an indication of the correct result, and then use the trained learning model for detecting the object in the container based on the first image.

A signal-emitting retail display device that includes a wire having a top portion and a bottom portion, the top portion configured to support a label holder, the bottom portion configured to store one or more retail items. The signal-emitting retail display device also has an electronic unit that includes an emitter. The emitter is configured to emit a warning signal, and configured to transmit a wireless signal to an alarm box in response to the warning signal. The wire is electrically coupled to the electronic unit such that the wire functions as an antenna for the transmission of the wireless signal to the alarm box.

A porch piracy parcel theft prevention system and method includes a delivery location apparatus configured for adaption to a building to receive a parcel, the delivery location apparatus including a sensor and a parcel locking mechanism. The sensor is configured to detect the presence of a delivered parcel placed into the line of sight of the parcel detecting sensor. When armed, the parcel locking mechanism is configured to trigger an alarm when the parcel detected locking mechanism detects removal of the parcel from the line of sight of the parcel detecting sensor. When disarmed, the package may be removed from the line of sight of the parcel detecting sensor without tripping the alarm. Among other uses, helps prevent parcel theft from single family dwellings.

Sensor-equipped display management systems and methods that may be used to calculate a number of products removed from a display management system based upon motion of one or more mechanisms within the display management system. Additionally, the systems and methods may be used to detect patterns from the sensor data, which may be indicative of attempted theft of products stored within the display management system.

In certain embodiments, condition-based storing and return of an item associated with a user may be facilitated via a locker system. In some embodiments, attribute information indicating attributes of an item placed in the locker system may be obtained, and the attribute information may be processed to determine a categorization of the item. In response to the categorization satisfying one or more categorization conditions, product/service information related to a product or service may be provided for presentation to the user. In response to receiving user acceptance of the product or service, an item return condition may be assigned to the item. In response to the user satisfying the item return condition, access rights to the item may be enabled for the user.

Tracking an item of interest through an environment is described. Tracking the item of interest through the environment is accomplished using passive optical tracking where an item is identified in an image of the environment using image processing and various locations of the item are tracked through the environment. When a user wants to know an item's location, a location image is projected onto the location of the item to allow a user view a current location of the item.