There are provided a control device for a distance measurement sensor, a control method for a distance measurement sensor, a distance measurement sensor, and a non-transitory computer-readable medium stored with a program, which can be used in a low-class safety standard. A control device (300) includes a management unit (2) for managing an emission-impossible direction of laser light in accordance with the output power of laser light swept by a distance measurement sensor per predetermined angle range, a scheduler (3) for scheduling emission of laser light based on the emission-impossible direction, and an emission instruction unit (4) for instructing the emission direction of the laser light according to the schedule.

A method of calibrating a sensor (200) for a security system, the method comprising: switching the sensor (200) to a zone calibration mode for configuring the sensor (200) to operate with a detection zone; detecting a moveable object (202) moving along a border of the detection zone, wherein the sensor (200) detects the position of the moveable object (202) as the moveable object (202) moves along the border of the detection zone; calculating zone calibration data for the detection zone based on the detected positions of the moveable object (202); and configuring the sensor (200) to operate using the calculated zone calibration data.

A method of calibrating a sensor (200) for a security system, the method comprising: switching the sensor (200) to a zone calibration mode for configuring the sensor (200) to operate with a detection zone; detecting a moveable object (202) moving along a border of the detection zone, wherein the sensor (200) detects the position of the moveable object (202) as the moveable object (202) moves along the border of the detection zone; calculating zone calibration data for the detection zone based on the detected positions of the moveable object (202); and configuring the sensor (200) to operate using the calculated zone calibration data.

Systems and methods for operating a security system. The methods comprise: monitoring an area for a presence of an individual or vehicle using wireless signals of a first type that are received by a first radio of the security system; operating the first radio as a wireless sensor for generating sensor data; determining whether the individual or vehicle is exhibiting an unusual behavior using the sensor data and pre-programmed or machine learned patterns of unusual behavior; changing an operating frequency of the first radio when a determination is made that the individual or vehicle is exhibiting unusual behavior; and communicating a wireless signal of a second type from the first radio when the individual or vehicle is exhibiting unusual behavior, where the second type is different than the first type.

A Wireless Slide Fence utilizing signal reflection technology to detect rockslides and can determine the size and location of fallen rocks/objects impeding travel along a train track is presented. The present disclosure solves the technological problem of determining rock size and location to validate rockslide/fall alarms to reduce false alarms, while minimizing repairs required by conventional systems through the use of obstacle detection units and vital logic controllers. The present disclosure improves the performance of the system by, generating validated alarms when fallen rocks/objects satisfy the size criteria and are located in an area hazardous to train operations. In one exemplary embodiment, a loitering time can be implemented to validate object detections to reduce false positives due to transient objects such as migrating animals.

Presented herein are systems and methods for detecting a boundary line crossing based on Round Trip Time (RTT) measured for wireless signals transmitted between and initiator wireless transceiver and a responder wireless transceiver deployed to form a straight boundary line. The initiator wireless transceiver transmits wireless probe signal(s) to the responder wireless transceiver, receives a wireless response signal transmitted by the responder wireless transceiver in response to the wireless probe signal(s), calculates an RTT combining a travel time of the wireless probe signal(s) and the travel time of the wireless response signal(s), compares the RTT to a reference RTT computed for a wireless probe signal and a corresponding wireless response signal transmitted in a clear straight transmission path while the boundary line is clear of obstacles and determines whether an object is blocking the straight transmission path based on a deviation of the RTT from the reference RTT.

A system is provided, including: a radar sensor configured to transmit and receive a radar signal from a person; a depth camera configured to receive a depth image of the person; one or more processors communicative with memory having stored thereon computer program code configured when executed by the one or more processors to cause the one or more processors to perform a method comprising: detect the person; determine depth information relating to the person using the depth image; determine a correlation between the depth information of the person and the radar signal received from the person; and in response to the correlation not within a range of expected values, generating an alert. The depth information may be a volume or surface area of the person.

In an embodiment, a children face alert system is provided for use with a smart device with a display screen. A neural network model trained with dataset images with embedded distance information can run in the background of the smart device. When receiving a captured image frame of the face of a child using the smart device, the neural network model can determine that the captured image frame is from a child, and further determine whether the face of the child is within a predetermined distance to the display screen based on a size of the face on the captured image frame. If the face is within the predetermined distance, the smart device can display an alert that the face of the child is too close to the display screen and pause one or more user applications until the child's face moves outside of the predetermined distance.

A method for detecting intrusions in a monitored volume in which: N tridimensional sensors acquire local point clouds in respective local coordinate systems; a central processing unit receives the acquired local point clouds and, for each sensor; computes updated tridimensional position and orientation of the sensor in a global coordinate system of the monitored volume by aligning a local point cloud acquired by the tridimensional sensor with a global tridimensional map of the monitored volume; and generates an aligned local point cloud on the basis of the updated tridimensional position and orientation of the sensor; the central processing unit monitors an intrusion in the monitored volume by comparing a free space of the aligned local point cloud with a free space of the global tridimensional map.

A process for dynamic vehicular threat detection perimeter modification for an exited vehicular occupant includes prior to detecting a vehicular occupant exiting the vehicle, establishing a first sized vehicular geofence surrounding the vehicle as a function of one or more stored vehicular perimeter distances. The first sized vehicular geofence is monitored for a first breach via one of a 360 degree vehicular light imaging and radio wave distancing system. In response to detecting that the vehicular occupant previously inside the vehicle has exited the vehicle, the one or more stored vehicular perimeter distances is modified as a function of a detected location of the exited vehicular occupant to establish a second sized vehicular geofence surrounding the vehicle different than the first sized vehicular geofence. The second sized vehicular geofence is monitored for a second breach via one of the 360 degree vehicular light imaging and radio wave distancing system.