G06K17/0032

Multifunction peripheral assisted optical mark recognition using dynamic model and template identification

A system for multifunction peripheral assisted optical mark recognition uses a scanner to scan at least one printed page to generate a scanned image of the at least one printed page and to optically detect a presence of a visible label on the scanned image. Then, the multifunction peripheral may extract a model identification and a template identification from the visible label, select a template, identifying locations from which image data is to be extracted from the scanned image, select a model, specifically identifying at least two types of acceptable marks within the image data to be extracted from the scanned image, and perform optical mark recognition on the location from which image data is to be extracted identified by the template using the at least two types of acceptable marks identified by the model to extract useful data from the image data.

Optical character recognition of voter selections for cast vote records

An electronic voting system is described that utilizes printed vote records (PVRs) in which a voter's vote selections are recorded in voter readable characters. Optical character recognition (OCR) techniques may then be utilized to scan the PVR to record the voter's selections. The OCR data is then utilized to generate the cast vote record. Thus, the electronic voting system directly interprets the voter selections from the PVR just as the voter sees the data. In this manner what you see is what you get printed vote record data is provided for a voter's viewing and that same data is used to generate the cast vote record.

Intelligent label automated capture solutions

In some embodiments, an RFID label rejecting system includes an imager for scanning an RFID label, and a label removal component for discarding an inoperable RFID label. The label removal component may include a paddle configured to receive the inoperable label as part of the removal process. The label removal component may include a retraction system configured to position the paddle in an ejection path of the label rejection system to receive a rejected label. The label removal component may include a removable liner on the paddle configured to receive the rejected label and to be discarded with the rejected label. The label removal component may include a pressurized gas system configured for ejecting a rejected label.

MULTIFUNCTION PERIPHERAL ASSISTED OPTICAL MARK RECOGNITION USING DYNAMIC MODEL AND TEMPLATE IDENTIFICATION
20190147286 · 2019-05-16 ·

A system for multifunction peripheral assisted optical mark recognition uses a scanner to scan at least one printed page to generate a scanned image of the at least one printed page and to optically detect a presence of a visible label on the scanned image. Then, the multifunction peripheral may extract a model identification and a template identification from the visible label, select a template, identifying locations from which image data is to be extracted from the scanned image, select a model, specifically identifying at least two types of acceptable marks within the image data to be extracted from the scanned image, and perform optical mark recognition on the location from which image data is to be extracted identified by the template using the at least two types of acceptable marks identified by the model to extract useful data from the image data.

SYSTEM AND METHOD FOR DETECTING ANOMALIES IN EXAMINATIONS

The disclosure provides systems and methods for maintaining integrity of documents and activities associated with examinations. The systems and methods store such activities and documents in a distributed blockchain such that integrity is maintained through transparency and redundancy of the records and activities. The systems monitor for any anomalies and notify appropriate individuals when an anomaly is detected, as well as maintaining a log of such anomalies.

SYSTEM AND METHOD FOR DETECTING ANOMALIES IN EXAMINATIONS

The disclosure provides systems and methods for maintaining integrity of documents and activities associated with examinations. The systems and methods store such activities and documents in a distributed blockchain such that integrity is maintained through transparency and redundancy of the records and activities. The systems monitor for any anomalies and notify appropriate individuals when an anomaly is detected, as well as maintaining a log of such anomalies.

ARTICLE TRANSPORTING METHOD AND RELATED DEVICE
20190026688 · 2019-01-24 ·

This application provides an article transporting method. In this method, one or more articles can be placed in an article storage unit disposed in a transporting vehicle and a tag is disposed on an article. A tag information acquisition unit is disposed in the transporting vehicle, and tag information of each article in the article storage unit may be acquired and uploaded to a server. After the transporting vehicle arrives at a receiving location of a specific article, the server can determine, by comparing tag information in the article storage unit before article transporting of the transporting vehicle with tag information in the article storage unit after an article is taken away at the receiving location, an article that is taken away by a user, and further, compares the article that is taken away with a to-be-received article at this receiving location, to determine whether the article taken away by the user is correct. In view of this, this application can ensure accuracy of pick-up of a user while improving a utilization ratio of the article storage unit.

Single-pass imaging and optical mark recognition scanning
10176411 · 2019-01-08 · ·

Performing optical mark recognition (OMR) scanning includes receiving a substrate to be scanned, the substrate having one or more colors visible to a human eye and bearing user-made marks; moving the substrate and a light sensor relative to each other such that the substrate moves past the light sensor a single time; during the relative movement of the substrate, scanning the substrate using multiple colors of light to simultaneously generate both (a) image data representing a visual appearance of the substrate, and (b) OMR data corresponding to respective locations of the user-made marks on the substrate.

Optical character recognition of voter selections for cast vote records

An electronic voting system is described that utilizes printed vote records (PVRs) in which a voter's vote selections are recorded in voter readable characters. Optical character recognition (OCR) techniques may then be utilized to scan the PVR to record the voter's selections. The OCR data is then utilized to generate the cast vote record. Thus, the electronic voting system directly interprets the voter selections from the PVR just as the voter sees the data. In this manner what you see is what you get printed vote record data is provided for a voter's viewing and that same data is used to generate the cast vote record.