摘要:
An embodiment generally relates to systems and methods for processing orders associated with an establishment. In particular, a customer can submit a remote order for goods offered by the establishment, along with an associated license plate number of a vehicle that is to pick up the order. An image capture device can capture images of a vehicle on the premises of the establishment, and provide the images to a processing module which use automatic license plate recognition (ALPR) techniques to determine license plate data of the vehicle. The processing module can further examine an order list to determine if the license plate data is associated with an order on the order list, and, if so, add the order to a priority queue.
摘要:
Embodiments relate to systems and methods for realtime occupancy detection of vehicles approaching a retail site for predictive ordering. A restaurant or other retail site can maintain access areas, such as a drive through lane or parking area, which vehicles can approach to order food or other items. A set of sensors can detect the vehicles, and estimate the number of occupants in those vehicles. Detection techniques can include face detection technology, seat detection technology, thermal imaging, or others. The number of occupants can be estimated and sent to a production management engine monitoring the site. That engine can responsively issue production instructions, such as a number and type of food items to prepare, and when. By integrating an operational model of the site, including projected order amounts and types, with the realtime occupant count, more accurate matching of food or other production to customer demand can be achieved.
摘要:
A method and system for recognizing a license plate character utilizing a machine learning classifier. A license plate image with respect to a vehicle can be captured by an image capturing unit and the license plate image can be segmented into license plate character images. The character image can be preprocessed to remove a local background variation in the image and to define a local feature utilizing a quantization transformation. A classification margin for each character image can be identified utilizing a set of machine learning classifiers each binary in nature, for the character image. Each binary classifier can be trained utilizing a character sample as a positive class and all other characters as well as non-character images as a negative class. The character type associated with the classifier with a largest classification margin can be determined and the OCR result can be declared.
摘要:
A method and system for tracking a customer history data utilizing a combination of vehicle and facial information. A license plate image with respect to a customer vehicle can be captured and information with respect to the license plate obtained. The license plate information can be employed as an unique customer identifier with respect to customer history data, if the customer places an order (e.g., drive-through service). Facial images of the customer upon entry to a store and/or upon checkout can be captured and processed. The checkout image can be matched against a set of images in order to associate customer order information with customer history data identified from the license plate information for tracking an in-store order transaction.
摘要:
Systems and methods of diagnosing a photoreceptor associated with an imaging device. The photoreceptor is configured to enter into a diagnostic cycle to complete a set number of cycles. A sensor or array is configured to a scan a component associated with the imaging device during each of the set of cycles to establish defect data. The defect data is analyzed to filter one or more charge deficient spots (CDS) from background noise in the defect data. The systems and methods determine whether the photoreceptor needs replacement based on the determined one or more CDS. The systems and methods are further configured to output a report of the determination. The determination is conducted at fixed or variable intervals throughout the life of the photoreceptor and/or imaging device.
摘要:
An image printing system includes a print engine and a sensing system. The print engine is configured to print a marking material image on a image bearing surface. The sensing system includes a plurality of illuminators, a modulator, a sensor, and a demodulator. Each illuminator is configured to simultaneously emit a light beam at the marking material image on the image bearing surface, thereby producing reflectance from the marking material image at least in a first direction. The modulator is configured to modulate an intensity characteristic of each of the light beams emitted by the illuminators such that each light beam has a different modulated waveform characteristic, where the waveform characteristic includes at least frequency. The sensor is configured to detect the reflectance from the plurality of light beams in the first direction and output a reflectance signal. The demodulator is configured to demodulate the reflectance signal to isolate a response of the marking material image to each of the individual illuminators.
摘要:
Systems and methods of determining a predicted usable life of components, such as a photoreceptor, associated with an imaging device. The systems and methods include a power source configured to increase an electric field across the photoreceptor. A sensor or array is configured to detect charge deficient spots (CDS) in a charge transport layer (CTL) of the photoreceptor as a result of increasing the electric field. The systems and methods are configured to determine the predicted useable life of the photoreceptor based on the detected CDS. The systems and methods are further configured to output a report of the estimation. The estimation is conducted at fixed or variable intervals throughout the life of the photoreceptor and/or imaging device.
摘要:
A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.
摘要:
An apparatus (100) and method (200) for print apparatus rotational assembly cleaning blade adjustment is disclosed. The apparatus can include a printer rotational transport assembly (110) configured to transport a substance in a printer. The apparatus can include a cleaning blade (120) coupled to the printer rotational transport assembly and a cleaning blade sensor (130) coupled to the cleaning blade, where the cleaning blade sensor can be configured to sense cleaning blade stress condition information. The apparatus can include a controller (140) coupled to the cleaning blade and the cleaning blade sensor, where the controller can be configured to adjust cleaning blade parameters of operation based on the sensed cleaning blade stress condition information.
摘要:
A method for determining a confidence level to be used in identifying a vehicle. The method includes receiving a vehicle image, extracting a license plate image from the at least one vehicle image, determining a license plate number and associated confidence level based upon the license plate image, and comparing the associated confidence level against a confidence threshold. If the associated confidence level is below the confidence threshold, the method further includes extracting auxiliary data from the at least one vehicle image, corresponding the extracted auxiliary data and a set of stored auxiliary data, and updating the associated confidence level to produce an updated confidence level based upon the correspondence of the extracted auxiliary data and the set of stored auxiliary data.