A monitoring system that is configured to monitor a property is disclosed. The monitoring system includes a passive infrared (PIR) sensor configured to generate reference PIR data that represents motion within an area of the property; an auxiliary sensor configured to generate auxiliary sensor data that represents an attribute of the area of the property; and a motion sensor device. The motion sensor device is configured to: obtain the reference PIR data; determine that a first set of motion detection criteria is satisfied by the reference PIR data; in response to determining that the first set of motion detection criteria is satisfied by the reference PIR data, obtain the auxiliary sensor data; obtain a second set of motion detection criteria based on the reference PIR data and the auxiliary sensor data; and determine whether the second set of motion detection criteria is satisfied by additional PIR data.

The present application describes a system and method for extending a range of an image detection and classification system that is associated with various image capture devices. The range of the image detection and classification system is extended using one or more of an optical zoom on an area of interest, a digital zoom on the area of interest and a crop operation on the area of interest.

A system for situational awareness monitoring within an environment, wherein the system includes one or more processing devices configured to receive an image stream including a plurality of captured images from each of a plurality of imaging devices, the plurality of imaging devices being configured to capture images of objects within the environment and at least some of the imaging devices being positioned within the environment to have at least partially overlapping fields of view, identify overlapping images in the different image streams, the overlapping images being images captured by imaging devices having overlapping fields of view, analyse the overlapping images to determine object locations within the environment, analyse changes in the object locations over time to determine object movements within the environment, compare the object movements to situational awareness rules and use results of the comparison to identify situational awareness events.

A monitoring device and an operation method thereof are provided to detect whether an object of interest appears in a video stream. The monitoring device includes a motion calculation circuit, a motion region determination circuit and a computing engine. The motion calculation circuit performs motion calculation on a current frame in the video stream to generate a motion map. The motion region determination circuit determines a motion region in the current frame according to the motion map. The motion region determination circuit notifies the computing engine with the motion region in the current frame. The computing engine performs an object of interest detection on the motion region in the current frame of the video stream to generate a detection result. The motion region determination circuit determines whether to ignore the motion region in a subsequent frame after the current frame according to the detection result.

A system and method for processing alarms includes receiving alarm data from a third-party data source, the alarm data having visual data, an area of interest, and a sought target. The system processes the visual data to detect an object in the area of interest, and then classifies the object either in conformance with the sought target or in nonconformance with the sought target. The system issues a positive alarm when the object is in conformance with the sought target, and issuing issues a false alarm when the object is in nonconformance with the sought target. Feedback is received from the third-party data source regarding an accuracy of the respective positive alarm and the false alarm.

Some embodiments provide a method for separating the motion detection zone(s) of an A/V recording and communication device from the motion alert zone(s) of the A/V recording and communication device. For example, an A/V recording and communication device may be configured to generate motion alerts, and to record audio and video footage, when an event is detected within a selected motion alert zone (e.g., within a defined radius around the A/V recording and communication device). However, the A/V recording and communication device may not generate a motion alert for an event detected outside of the selected motion alert zone, even though the device may still record audio and video footage for the detected event (e.g., when the event is within a selected motion detection zone).

A surveillance camera system includes a camera that acquires images and that has an adjustable field of view. A processing device is operably coupled to the camera. The processing device allows a user to define a virtual mask within the acquired images. The processing device also tracks a moving object of interest in the acquired images with a reduced level of regard for areas of the acquired images that are within the virtual mask.

A battery powered artificial intelligence autonomous patrol vehicle. The vehicle is battery powered and is operated autonomously using artificial intelligence. The autonomous patrol vehicle includes a surveillance or detection system on or within an emergency light bar of the autonomous patrol vehicle. The autonomous patrol vehicle autonomously performs patrol surveillance or detection functions such as speed; red-light; and traffic enforcement; traffic enforcement with Automatic License Plate Recognition (ALPR), face recognition, animal recognition, object recognition, video surveillance and online continuous analysis and any equivalent surveillance or detection functions. The autonomous patrol vehicle stores and sends live and/or stored data to a command control center while moving or parked. The surveillance or detection system navigates with the use of any one of or a combination of a camera, radar and Light Detection and Ranging (LIDAR) sensors and can operate by viewing 360 degrees.

A monitoring apparatus 10 includes: a monitoring line setting unit 11 that sets a monitoring line in an image acquired from the image capturing unit; and an overlapping detection unit 12 that detects overlapping between an object in the image and the monitoring line. If overlapping is detected by the overlapping detection unit 12, the monitoring line setting unit 11 sets a new monitoring line according to the object.

A monitoring apparatus 10 includes: a monitoring line setting unit 11 that sets a monitoring line in an image acquired from the image capturing unit; and an overlapping detection unit 12 that detects overlapping between an object in the image and the monitoring line. If overlapping is detected by the overlapping detection unit 12, the monitoring line setting unit 11 sets a new monitoring line according to the object.