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.

An anti-tamper assembly is disclosed for a circuit board which comprises one or more electronic components. The assembly comprises a container having side walls, a first closed end and a second, opposing open end, the container being configured to be mounted on said circuit board at said open end, over at least one of the electronic components to form, in use, a sealed cavity around said at least one of said electronic components. The assembly further comprises a source of radioactive particles mounted within the container, an image sensor for capturing image frames within said sealed cavity, in use. The image sensor comprises a detector region defining an array of pixels, a screen member located, in use, within the cavity between the radioactive source and the detector, said screen member having at least one aperture, and a processor for retrieving said captured image frames, monitoring said image frames for changes in the statistical distribution of active pixels and, in the event that statistical distribution of active pixels indicates the presence of a feature in an image frame, generating a tamper alert.

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.

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.

Embodiments of the present invention are directed to security systems and methods for securing an item of merchandise from theft or unauthorized removal. For example, the security system may include a sensor configured to be coupled to the item of merchandise and a charging circuit for providing power to the sensor and/or the item of merchandise. The security system may also include a cable connected to the sensor and at least one optical transceiver for defining a sense loop between the cable and the sensor.

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.

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. The parcel locking mechanism is armed upon entry of a carrier code and disarmed upon entry of a user code. 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.

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 computer-implemented event statistic generation 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, 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 and 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.

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.