System and methods for processing audio signals are disclosed. In one implementation, a system may comprise a wearable camera configured to capture images from an environment of a user; a microphone configured to capture sounds from the environment of the user; and a processor. The processor may be configured to receive at least one image of the plurality of images, the at least one image comprising a plurality of image portions associated with corresponding image portion timestamps; receive at least one audio signal representative of the sounds captured by the at least one microphone; identify an audio timestamp associated with a portion of the audio signal; identify an image portion from among the plurality of image portions, the image portion having an image portion timestamp associated with the audio timestamp; and analyze the image portion to identify a voice originating from an object represented in the image.

System and methods for processing audio signals are disclosed. In one implementation, a system may comprise a wearable camera configured to capture images from an environment of a user; a microphone configured to capture sounds from the environment of the user; and a processor. The processor may be configured to receive at least one image of the plurality of images, the at least one image comprising a plurality of image portions associated with corresponding image portion timestamps; receive at least one audio signal representative of the sounds captured by the at least one microphone; identify an audio timestamp associated with a portion of the audio signal; identify an image portion from among the plurality of image portions, the image portion having an image portion timestamp associated with the audio timestamp; and analyze the image portion to identify a voice originating from an object represented in the image.

A device may receive first information related to a transaction. The device may identify a first device from which to receive an image of a receipt related to the transaction. The device may provide, to the first device, a notification to cause the first device to perform a set of actions including activating a camera associated with the first device to capture the image of the receipt, or providing, for display, an instruction related to capturing the image of the receipt associated with the transaction. The device may receive, from the first device, the image of the receipt. The device may process the image of the receipt to perform an analysis of the transaction. The device may perform an action related to the transaction based on a result of processing the image of the receipt.

A device may receive first information related to a transaction. The device may identify a first device from which to receive an image of a receipt related to the transaction. The device may provide, to the first device, a notification to cause the first device to perform a set of actions including activating a camera associated with the first device to capture the image of the receipt, or providing, for display, an instruction related to capturing the image of the receipt associated with the transaction. The device may receive, from the first device, the image of the receipt. The device may process the image of the receipt to perform an analysis of the transaction. The device may perform an action related to the transaction based on a result of processing the image of the receipt.

According to an example aspect of the present invention, there is provided a method comprising, transmitting by a wireless device, during a first phase, a first probe signal associated with a user and receiving a reflected version of the first probe signal, transmitting by the wireless device, during the first phase, the reflected version of the first probe signal to a ground truth classifier, transmitting by the wireless device, during a second phase, a second probe signal associated with the user and receiving a reflected version of the second probe signal and transmitting by the wireless device, during the second phase, the reflected version of the second probe signal to a trusted apparatus.

In collection of training data for image recognition, in order to support a reduction in collection of improper images which are not suitable as training data, a learning data collection device includes a processor which is configured to acquire a captured image from an image capturing device, determine whether or not the captured image is suitable as training data, and when the captured image is determined to be not suitable as training data, perform a notification operation to prompt an image capturing person to reshoot a new image for the captured image.

In collection of training data for image recognition, in order to support a reduction in collection of improper images which are not suitable as training data, a learning data collection device includes a processor which is configured to acquire a captured image from an image capturing device, determine whether or not the captured image is suitable as training data, and when the captured image is determined to be not suitable as training data, perform a notification operation to prompt an image capturing person to reshoot a new image for the captured image.

A method of processing an image, an electronic device, and a storage medium, which relate to the artificial intelligence field, in particular to fields of computer vision and intelligent transportation technologies. The method includes: determining at least one key frame image in a scene image sequence captured by a target camera; determining a camera pose parameter associated with each key frame image in the at least one key frame image, according to a geographic feature associated with the key frame image; and projecting each scene image in the scene image sequence to obtain a target projection image according to the camera pose parameter associated with the key frame image, so as to generate a scene map based on the target projection image. The geographic feature associated with any key frame image indicates localization information of the target camera at a time instant of capturing the corresponding key frame image.

Systems and methods for image-based perception. The methods comprise: obtaining, by a computing device, images captured by a plurality of cameras with overlapping fields of view; generating, by the computing device, spatial feature maps indicating locations of features in the images; defining, by the computing device, predicted cuboids at each location of an object in the images based on the spatial feature maps; and assigning, by the computing device, at least two cuboids of said predicted cuboids to a given object when predictions from images captured by separate cameras of the plurality of cameras should be associated with a same detected object.

Systems and methods for generating assessments based on construction site images are provided. For example, image data captured from a construction site using at least one image sensor may be obtained. Further, at least one electronic record associated with the construction site may be obtained. The image data and the at least one electronic record may be analyzed to generate at least one assessment related to the construction site. For example, the image data may be analyzed to identify at least one discrepancy between the at least one electronic record and the construction site, and the identified at least one discrepancy may be used in the generation of the at least one assessment.