A system for locating according to a data description includes an interface and a processor. The interface is configured to receive the data description. The processor is configured to create a model-based item identification job based at least in part on the data description; provide the model-based item identification job to a set of vehicle event recorder systems, wherein the model-based item identification job uses a model to identify sensor data resembling the data description; receive the sensor data from the set of vehicle event recorder systems; and store the sensor data associated with the model-based item identification job.

An apparatus and a method for controlling an interior of a vehicle are disclosed. The apparatus for controlling the interior of the vehicle may include an interface configured to receive, at predetermined cycles, information on at least one of video of an inside of the vehicle collected by a camera or sound of the inside of the vehicle collected from a microphone, and a processor configured to determine a relationship between passengers in the vehicle based on the information, and control the interior of the vehicle based on the relationship between the passengers. When determining the relationship between passengers, a passenger relationship estimation algorithm used may be a neural network model generated through machine learning, and may be stored in a memory in the apparatus for controlling the interior of the vehicle, or may be provided via a server in an artificial intelligence environment through a 5G network.

A vehicle theft-prevention apparatus can include at least one computing device couple to a plurality of sensors and a wireless transceiver. The plurality of sensors can be configured to sense measurements proximate to a vehicle. The at least one computing device can be configured to read a plurality of first measurements of a first sensor of the plurality of sensors. Based on the plurality of first measurements from the first sensor, the at least one computing device can determine that a key fob moved outside of a range of the first sensor. In response to the key fob moving outside of the range of the first sensor, the at least one computing device can transition to an armed state. The at least one computing device can read a plurality of second measurements from a subset of the plurality of sensors. Based on the plurality of second measurements, the at least one computing device can determine that a person has entered the vehicle.

A GPS accessible vehicle intrusion monitoring system that eliminates unnecessary image capture and transmission by providing security device that will monitor and record inside and outside of the vehicle. The connection between vehicle and owner is established with USB port which is portable and allows 24 hours monitoring to the user.

Detecting unauthorized access of a locked key container having a key for a vehicle or a premises. An indication is received at a sensor coupled to the key that the key container is being tampered with. A notification is sent in response to receiving the indication that the key container is being tampered with.

A monitoring system for a vehicle includes surveillance sensors configured to capture sensor data proximate to the vehicle. A position sensor is configured to detect a location of the vehicle. A controller is in communication with the surveillance sensors and the position sensor. The controller calculates a security score in response to security data based on the location of the vehicle and selects an active mode for the surveillance sensors in response to the security score. The active mode is selected from a plurality of surveillance modes that vary an active operation of the plurality of surveillance sensors. The controller may change or escalate the active mode and a corresponding monitoring operation (e.g., from a first mode to a second mode) in response to a security detection.

An UGV 1 acquires a moving image of an captured imaging area, detects a receiver of an article on the basis of frame images forming the moving image, sets, as the monitoring area, an area including at least a part of the receiver and the area at a point in time when the receiver appears, detects a outsider entering the monitoring area or a outsider heading for the monitoring area on the basis of a frame image that is temporally later than a first frame image at the point in time when the receiver appears, and executes processing for notifying the receiver of outsider detection information.

A monitoring system for a vehicle includes a plurality of surveillance sensors in connection with the vehicle and configured to capture sensor data proximate to the vehicle. A position sensor is configured to detect a location of the vehicle. A controller determines a surveillance mode for the vehicle based on the sensor data and a plurality of security factors associated with the location of the vehicle. The controller activates the surveillance mode in response to the security factors and monitors the sensor data. The controller further filters a plurality of security events from a plurality of benign events and selectively outputs alerts in response to the security events and the benign events.

Systems and methods for an intelligent camera system are provided. A method includes receiving, from a first camera in a vehicle, view data corresponding to an area from a vantage point of the vehicle. The method further includes detecting a region of interest from the view data provided by the first camera. The method also includes providing the region of interest to a second camera in the vehicle. The method further includes receiving, from the second camera, zoom view data corresponding to a zoom view of the region of interest.

A worksite classification system and method for classifying persons at a worksite is disclosed. The worksite classification system can include a sensor system configured to capture images of persons located at the worksite. An electronic data processor communicatively coupled to the sensor system and comprising a computer readable storage medium having machine readable instructions that, when executed by the electronic data processor, cause the processor to: determine an identity of the persons based on one or more identifying characteristics associated with the persons; determine if the persons have authorization access to enter to one or more operational zones at the worksite based on the identity of the persons and an associated access level; and generate an alert notifying an operator when persons without authorization access enters the one or more operational zones.