The various implementations described herein include methods, devices, and systems for detecting motion and persons. In one aspect, a method is performed at a smart home system that includes a video camera, a server system, and a client device. The video camera captures video and audio, and wirelessly communicates, via the server system, the captured data to the client device. The server system: (1) receives and stores the captured data from the video camera; (2) determines whether an event has occurred, including detected motion; (3) in accordance with a determination that the event has occurred, identifies video and audio corresponding to the event; and (4) classifies the event. The client device receives information indicative of the identified events, displays a user interface for reviewing the video and audio stored by the remote server system, and displays the at least one classification for the event.

Techniques for securely monitoring an air-gapped machine. Systems, methods, and devices for generating a status message representing a state of an air-gapped machine, converting the status message to a visual code, displaying the visual code to a display monitor connected to the air-gapped machine, capturing image data of the visual code at a camera connected to a monitoring machine, and transmitting the image data to the monitoring machine, thereby causing the visual code to be accessible by a user of the monitoring machine. Techniques for verifying the integrity of the status message, and optionally, encrypting the status message.

A three-dimensional (3D) visual monitoring method for a building, a 3D visual monitoring system for a building, and a storage medium. The 3D visual monitoring method for a building includes acquiring a building information modeling (BIM) model and sensor data of a building, the sensor data being collected by a sensor arranged in a building area; integrating the sensor data into the BIM model; and transmitting the integrated BIM model to a display terminal, for use in a monitoring operation of the building.

A method includes: receiving IR radiation with a plurality of IR sensors; producing a plurality of output signals with the plurality of IR sensors based on the received IR radiation, where each of the plurality of output signals is indicative of an intensity of the IR radiation received by a respective IR sensor of the plurality of IR sensors; detecting an IR source based on the plurality of output signals; generating a candidate alarm in response to detecting the IR source; determining whether the detected IR source matches any reference IR source of a set of reference IR sources; when the detected IR source matches one reference IR source of the set of reference IR sources, issuing a user alarm, and when the detected IR source does not match any reference IR source of the set of reference IR sources, canceling the candidate alarm without issuing the user alarm.

Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.

Systems, apparatus, methods, and articles of manufacture for Artificial Intelligence (AI) theft prevention and recovery, such as by utilizing image object analysis to identify and report pilfering-type cargo or materials theft events.

A method for rapidly calculating intersection over union (IOU) between a target region and a designated region in an image is used in an electronic device. The electronic device detects a target object from an image received from a monitored location, and determines a designated region, a target region, and a combined region from the image, the target region including the target object. The electronic device calculates a first area of the designated region, a second area of the target region, and a third area of the combined region, and calculates a value of IOU according to formula of SIOU=(S1+S2−S3)/S2. S1 represents the first area, S2 represents the second area, and S3 represents the third area. The electronic device issues an intrusion warning in or concerning a monitored region according to a comparison result between the value of IOU and a preset threshold.

A method for rapidly calculating intersection over union (IOU) between a target region and a designated region in an image is used in an electronic device. The electronic device detects a target object from an image received from a monitored location, and determines a designated region, a target region, and a combined region from the image, the target region including the target object. The electronic device calculates a first area of the designated region, a second area of the target region, and a third area of the combined region, and calculates a value of IOU according to formula of SIOU=(S1+S2−S3)/S2. S1 represents the first area, S2 represents the second area, and S3 represents the third area. The electronic device issues an intrusion warning in or concerning a monitored region according to a comparison result between the value of IOU and a preset threshold.

An autonomous mower including a housing; a mowing module, a traveling module, an information collection device, an energy module, a control module and the control module includes an identification unit, and an alarm module. The autonomous mower has a security patrol working mode in which the identification unit analyzes and judges whether an abnormal object exists in the working area according to the information collected by the information collection device; if the abnormal object exists, the control module controls the alarm module to send an alarm signal to the outside. Therefore, the autonomous mower can achieve a security patrol function in addition to having a function of trimming the lawn. The autonomous mower has multiple uses, so as to save the cost.

An autonomous mower including a housing; a mowing module, a traveling module, an information collection device, an energy module, a control module and the control module includes an identification unit, and an alarm module. The autonomous mower has a security patrol working mode in which the identification unit analyzes and judges whether an abnormal object exists in the working area according to the information collected by the information collection device; if the abnormal object exists, the control module controls the alarm module to send an alarm signal to the outside. Therefore, the autonomous mower can achieve a security patrol function in addition to having a function of trimming the lawn. The autonomous mower has multiple uses, so as to save the cost.