A system and method to manage a parking area. The system may include one or more tags; a license plate reader configured to read license plates; and a tag reader configured to, in response to a license plate read by the license plate reader, read the tag and determine whether the read license plate belongs to an authorized or unauthorized vehicle.

A method and an apparatus for pushing vehicle information, a user account server, and user equipment are provided. The method includes: receiving an entry event that is of a vehicle and that is sent by a parking management server, and obtaining geo-fence information of a parking lot managed by the parking management server; obtaining, by a user account server, a user account bound to the license plate number of the vehicle; obtaining a location determining result of user equipment corresponding to the user account; and pushing the entry event of the vehicle to the user equipment when the current location of the user equipment is within a geo-fence range.

A system and method for visually automated interface integration that includes collecting image data; detecting a device interface source in the image data; processing the image data associated with the device interface source into an extracted interface representation; and exposing at least one access interface to the extracted interface representation.

In some embodiments, apparatuses and methods are provided herein useful to determine text on an object. In some embodiments, there is provided a system to determine text of interest on an object of interest including at least one camera and a control circuit configured to execute a machine learning model trained to identify the text of interest, group into a cluster each node point that is located substantially in the same location in the text of interest, determine a score value of each particular character in the cluster, identify the particular character that has a determined score value corresponding to at least a threshold score value relative to all characters in the cluster, assign the particular character having the determined score value corresponding to at least the threshold score value as a recognized character in the cluster, and transmit to a display monitor overlay data.

An approach for enhancing a video stream. The approach processes a video stream and identifies frames comprising text. The approach marks text extraction locations and extracts the text from the frames. The approach determines if a mirroring effect should be applied to the text and applies if applicable, creating enhanced text. The approach inserts the enhanced text and smooths the edges of the inserted enhanced text. The approach merges the frames with the enhanced text into the video stream, creating an enhanced video stream and sends the enhanced video stream to requesting users.

Systems and methods for monitoring a throughway using a radio frequency identification (RFID) detection system. The RFID detection system includes (i) an image sensor configured to have a field of view directed towards a lane of the throughway; (ii) an RFID transceiver arrangement configured to interrogate RFID tags disposed on vehicles within the lane of the throughway; and (iv) a controller operatively connected to the image sensor and the RFID transceiver arrangement. The controller is configured to (1) cause the image sensor to capture a frame of image data representative of the lane of the throughway; (2) analyze the frame of image data to detect a presence of a vehicle in the lane of the throughway; (3) based on the analysis, determine a position of the vehicle relative to the RFID transceiver arrangement; and (4) configure an antenna array to generate a beam directed at the position of the vehicle.

In some embodiments, apparatuses and methods are provided herein useful to train a machine learning algorithm to detect text of interest. In some embodiments, there is provided a system to detect vertically oriented text of interest including a first data set comprising a plurality of captured digital images each depicting an object of interest and a second data set comprising a plurality of augmented digital images each depicting a captured digital image augmented with a synthetic text image; a first control circuit configured to cause the machine learning algorithm to output a machine learning model trained to automatically detect occurrences of vertically oriented text of interest based on the first data set and the second data set; at least one camera; and a second control circuit configured to execute the machine learning model to automatically detect vertically oriented text of interest on the object of interest.

Provided are a label identification method and apparatus, a device, and a medium. The method includes: obtaining a target feature of a first image, in which the target feature characterizes a visual feature of the first image and a word feature of at least one label; and identifying a label of the first image from the at least one label based on the target feature. By characterizing the visual feature of the first image and the target feature of the word feature of the at least one label, the label of the first image is identified from the at least one label. Thus, identification accuracy of the label can be improved.

Provided are a label identification method and apparatus, a device, and a medium. The method includes: obtaining a target feature of a first image, in which the target feature characterizes a visual feature of the first image and a word feature of at least one label; and identifying a label of the first image from the at least one label based on the target feature. By characterizing the visual feature of the first image and the target feature of the word feature of the at least one label, the label of the first image is identified from the at least one label. Thus, identification accuracy of the label can be improved.

An electronic device is provided. The electronic device includes a camera module, a communication circuit, a memory, and a processor, wherein the processor may execute a first application using the camera module, obtain a first image through the camera module while the first application operates, recognize an object of a specified type in the first image, obtain location information of where the first image is obtained, determine a first virtual point corresponding to the location information on a three-dimensional (3D) virtual map, obtain a second image corresponding to the first image at the first virtual point, and update data of the 3D virtual map on the object based on a comparison between the first image and the second image.