ObjectVideo Labs, LLC

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring events using a Virtual Inductive Loop system. In some implementations, image data is obtained from cameras. A region depicted in the obtained image data is identified, the region comprising lines spaced by a distance that satisfies a distance threshold. For each line included in the region: an object depicted crossing the line is determined whether to satisfy a height criteria indicating that the line is activated. In response to determining that an object depicted crossing the line satisfies the height criteria, an event is determined to have likely occurred using data indicating (i) which lines of the lines were activated and (ii) an order in which each of the lines were activated. In response to determining that an event likely occurred, actions are performed using at least some of the data.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for reducing camera false detections. One of the methods includes providing, to a neural network of an image classifier that is trained to detect objects of two or more classification types, a feature vector for a respective training image; receiving, from the neural network, an output vector that indicates, for each of the two or more classification types, a likelihood that the respective training image depicts an object of the corresponding classification type; accessing, from two or more ground truth vectors each for one of the two or more classification types, a ground truth vector for the classification type of an object depicted in the training image; and adjusting one or more weights in the neural network using the output vector and the ground truth vector; and storing, in a memory, the image classifier.

Methods, systems, and apparatus, including computer programs encoded on a computer storage medium, for retroactive event detection. The methods, systems, and apparatus include actions of obtaining an image captured by a camera at a current time, determining that the image depicts a change in a region from a previous image captured by the camera at a previous time, determining, based on determining that the image depicts the change in the region, whether the change depicted in the image is of a known object type, determining, based on the determination that the change depicted in the image is of a known object type, whether the change does not correspond to a previously detected event, and determining, based on the determination that the change does not correspond to a previously detected event, whether the images captured by the camera between the current time and the previous time depict an event.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes maintaining, for an extended reality environment generated by a first device operated by a person, data defining a three-dimensional space at a property; accessing sensor data generated by one or more sensors physically located at the property; predicting, using the sensor data, that an object will likely interfere with the three-dimensional space at the property; and in response to predicting that the object will likely interfere with the three-dimensional space at the property, providing a notification to a second device.

Methods, systems, and apparatus, including computer programs encoded on computer storage media, for monitoring extended reality spaces. One of the methods includes selecting, from a physical space at a property, a first available portion of the physical space for representing an extended reality environment; causing presentation of a first portion of the extended reality environment at the first available portion of the physical space; predicting, using sensor data generated from one or more sensors at the property, that the first available portion of the physical space will likely be interfered with; in response to predicting that the first available portion of the physical space will likely be interfered with, selecting, from the plurality of available portions of the physical space, a second available portion for representing the environment; and causing presentation of a second portion of the extended reality environment at the second available portion of the physical space.

Systems and methods for detecting and monitoring areas of water damage or water management problems in a property are described. Monitoring devices can be deployed at different locations of a property to obtain sensor data and image data regarding the environmental conditions in potentially problematic areas of the property. An image obtained by the monitoring devices can be processed and compared with reference images or other image data that is filtered in a different manner that the image to identify portions of the image in which water damage or water management problems exist.

Disclosed are methods, systems, and apparatus for object localization in video. A method includes obtaining a reference image of an object; generating, from the reference image, homographic adapted images showing the object at various locations with various orientations; determining interest points from the homographic adapted images; determining locations of an object center in the homographic adapted images relative to the interest points; obtaining a sample image of the object; identifying matched pairs of interest points, each matched pair including an interest point from the homographic adapted images and a matching interest point in the sample image; and determining a location of the object in the sample image based on the locations of the object center in the homographic adapted images relative to the matched pairs. The method includes generating a homography matrix; and projecting the reference image of the object to the sample image using the homography matrix.

Methods, systems, and apparatus for remote camera-assisted robot guidance are disclosed. A method includes obtaining images of objects approaching a door of a property; identifying candidate paths to the door based on the images of the objects approaching the door of the property; determining movement capabilities of the objects; storing the candidate paths to the door labeled by the movement capabilities of the objects that took the paths; determining capability information for a robot at the property that indicates movement capabilities of the robot; selecting, from the candidate paths, a path for the robot to take to the door based on the movement capabilities of the robot and the labels of the candidate paths; and providing guidance information to the robot that guides the robot to the door along the selected path.

Systems and methods for detecting and monitoring areas of water damage or water management problems in a property are described. Monitoring devices can be deployed at different locations of a property to obtain sensor data and image data regarding the environmental conditions in potentially problematic areas of the property. An image obtained by the monitoring devices can be processed and compared with reference images or other image data that is filtered in a different manner that the image to identify portions of the image in which water damage or water management problems exist.

Methods and systems, including computer programs encoded on a storage medium, are described for implementing item monitoring using a doorbell camera. A system generates an input video stream that has image frames corresponding to detection of activity at a property. Timing information is generated for the video stream and includes a timestamp for each image frame of the stream. Using the timing information, the system processes a pre-event image frame that precedes detection of the activity and a post-event image frame that coincides with detection of the activity. An image score is computed with respect to placement of a candidate item at the property in response to processing the pre-event and post-event image frames. The image score is used to determine that a first item was delivered to the property or that a second item was removed after being delivered to the property.