Abstract: Weighing system (FIG. 3, FIG. 6) to weigh items, parcels and the like, while they are moving, for example, on a conveyor. A servo amplifier (14) and servo controller (20) are arranged to drive a servo motor in a feedback (15) configuration, and acquire torque sensing signals (17) responsive to commanded acceleration of the conveyor while the item(s) are on board. Preferably, constant acceleration of the item(s) is realized during one or more measurement intervals, and mass is derived by a processor (30) based on the measurement data (FIG. 5). Other embodiments are described for weighing granular and slurry materials (FIG. 7) and for weighing multiple, potentially overlapping parcels in motion (FIG. 8).

Abstract: This disclosure pertains to weighing a physical item while it is moving in a servo-driven conveyor system for e-commerce, logistics, manufacturing and other applications. The introduction of an unknown mass to an electro-mechanical feedback or filter network controlling a conveyance system will modify the steady state behavior of that system in such a way that measuring the phase or frequency shift of an input signal or oscillation will enable us to infer the magnitude of that mass.

Abstract: Weighing system (FIG. 3, FIG. 6) to weigh items, parcels and the like while they are moving, for example, on a conveyor. A servo amplifier (14) and servo controller (20) are arranged to drive a servo motor in a feedback (15) configuration, and acquire torque sensing signals (17) responsive to commanded acceleration of the conveyor while the item(s) are on board. Preferably, constant acceleration of the item(s) is realized during one or more measurement intervals, and mass is derived by a processor (30) based on the measurement data (FIG. 5). Other embodiments are described for weighing granular and slurry materials (FIG. 7) and for weighing multiple, potentially overlapping, parcels in motion (FIG. 8).

Abstract: In one example, a system is provided. The system includes a portable, in-field unit including: a tag reader to acquire an ID tag identifier from a tag located in or on a physical item positioned within functional range of the in-field unit tag reader; a digital processor arranged for executing software code stored in the in-field unit responsive to the acquired ID tag identifier, the stored software code including—a customer application layer; and a database adapter component configured to provide database services to the processor; wherein the database services include accessing a stored database to acquire stored data associated with the acquired ID tag identifier.

Abstract: In one example, a system is provided. The system includes a portable, in-field unit including: a tag reader to acquire an ID tag identifier from a tag located in or on a physical item positioned within functional range of the in-field unit tag reader; a digital processor arranged for executing software code stored in the in-field unit responsive to the acquired ID tag identifier, the stored software code including—a customer application layer; and a database adapter component configured to provide database services to the processor; wherein the database services include accessing a stored database to acquire stored data associated with the acquired ID tag identifier.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a region of interest wherein the pattern of features comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second feature vector may be extracted from a second image taken of the same region later in time than the first image. The two feature vectors may be compared and differences between one or more feature vector values determined. A match correlation value may be calculated based on the difference(s). The differences may be dampened if associated with expected wear and tear. Thus the impact on the match correlation value of such differences may be reduced. The differences may be enhanced if associated with changes that are not explainable as wear and tear.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a particular region wherein the pattern comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector (FV) may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second FV may be extracted from a second image of the same region. The FVs may be compared and difference(s) determined. A match correlation value (MCV) may be calculated based on the difference(s). The difference(s) may be dampened if associated with expected wear and tear reducing the impact of the difference(s) on the MCV. The differences may be enhanced if associated with changes that are not explainable as wear and tear increasing the impact of the difference(s) on the MCV.

Abstract: Methods and apparatus for weighing an article, such as a mail piece, while the article is moving at high speed. An article (900) is received from an intake transport (1200), and gripped in a weighing station (1310), in between a capstan roller and a pinch roller (1316), which are synchronized to minimize slipping. A first precision servo system (1252, 1250) alters the speed of the article, and in the process acquires torque data for storage and analysis (1212, 1282). A second precision servo system (1260,1330) applies a constant force, via a tension arm (1320), urging the pinch roller (1316) against the capstan roller, independently of the thickness of the mail piece. Active electronic damping (1900) reduces oscillation when an inconsistency in thickness of the article is encountered during weighing. The damping force is subtracted from the capstan motor torque data for improved accuracy (FIG. 20B).

Abstract: A weighing assembly (100,500,600) includes a portable computing device (“PCC”) (112) such as a smart phone, pad computer, laptop computer, or the like. The weighing assembly utilizes one or more features of the portable computing device in order to weigh an item, under control of a scale application program or “app” executable in the portable computing device. Some embodiments may utilize an internal barometric pressure sensor of the PCC. Other embodiments may utilize orientation or position sensors of the PCC for weighing an item. Other embodiments may utilize a compressible foot element (1004), all for weighing an item. Preferably, a user interface (114) of the PCC, such as a touch screen, may be used to interact with the scale application program for calibration and other functions.

Abstract: A method of defining data patterns for object handling includes obtaining an image of an input data area, processing the image to obtain image data, and comparing the image data with a pattern, wherein the pattern identifies spatial information of corresponding pattern fields of the pattern. The method further includes determining a confidence level of the comparison of the image data according to a success in matching the image data with the pattern fields, comparing the confidence level with a confidence threshold associated with the pattern, and selecting the pattern. A pattern output associated with the selected pattern is identified, wherein the pattern output corresponds to a canonical return format, and the pattern output is applied to the image data.

Abstract: Methods, apparatus, software and systems are disclosed for improved processing of mailpieces in order to reduce expensive manual steps. Shiny mail, i.e., mailpieces having glossy surfaces that sometimes interfere with printing of barcodes and or ID Tags may lead to rejects. In some embodiments, shiny mailpieces are identified, and at least one new (non-shiny) label is over-labeled in the POSTNET clear zone (108), the ID Tag zone (202), or both. In one embodiment, a specially-configured Reject Encoding Machine (REM) (1142) is employed to label or over-label a POSTNET clear zone (1110), resolve the destination address (1112) if possible, and print the barcode (1114) in a single operation. Thereafter, the mailpiece may be transferred from the REM into a downstream DBCS (1144), thereby re-introducing the mailpiece into the automated mail stream rather than being relegated to a manual stream.

Abstract: Disclosed are various applications of differential torque sensing, seeking to maximize the sensing power of servo motors in applications that have a wide torque range. In one embodiment, a transmission (200) combines a constant, relatively larger torque provided by a primary drive motor (220) and a smaller, variable torque provided by a servo motor (23), to form an output torque for driving a mechanical assembly (222). A relatively small change in mass of the system causes a perturbation from ambient operating speed. The servo motor, under control of a servo amplifier (232), quickly adjusts the secondary, variable torque to return the system to the ambient operating speed. Thus the servo motor torque accurately reflects the change in mass of the system.

Abstract: Methods and apparatus for weighing an article, such as a mail piece, while the article is moving at high speed, and for checking that the correct amount of postage has been paid for delivery of the article. An article (900) is received from an intake transport (1200), and gripped in a weighing station (1310), in between a capstan roller and a pinch roller (1316), which are synchronized to minimize slipping. A first precision closed-loop servo system (1252, 1250) alters the speed of the article, and in the process acquires torque data for storage and analysis (1212, 1282) to determine weight. Correct postage is determined in a processor (1212), and the postage actually paid is checked either by image analysis (1204, 1214, 1280) or by accessing a stored mailer manifest (1280).

Abstract: Weighing system (FIG. 3, FIG. 6) to weigh items, parcels and the like while they are moving, for example, on a conveyor. A servo amplifier (14) and servo controller (20) are arranged to drive a servo motor in a feedback (15) configuration, and acquire torque sensing signals (17) responsive to commanded acceleration of the conveyor while the item(s) are on board. Preferably, constant acceleration of the item(s) is realized during one or more measurement intervals, and mass is derived by a processor (30) based on the measurement data (FIG. 5). Other embodiments are described for weighing granular and slurry materials (FIG. 7) and for weighing multiple, potentially overlapping, parcels in motion (FIG. 8).

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A weighing assembly (100,500,600) includes a portable computing device (“PCC”) (112) such as a smart phone, pad computer, laptop computer, or the like. The weighing assembly utilizes one or more features of the portable computing device in order to weigh an item, under control of a scale application program or “app” executable in the portable computing device. Some embodiments may utilize an internal barometric pressure sensor of the PCC. Other embodiments may utilize orientation or position sensors of the PCC for weighing an item. Other embodiments may utilize a compressible foot element (1004), all for weighing an item. Preferably, a user interface (114) of the PCC, such as a touch screen, may be used to interact with the scale application program for calibration and other functions.

Abstract: A secure data provider controls access to one or more data sources on behalf of a requesting party. A negotiated query is transmitted to one or more of the data sources associated with the request based, at least in part, on the information being requested. The response to the query is modified based, at least in part, on an authorization level of the requesting party, and the modified response is transmitted to the requesting party.

Abstract: An automated document processing machine may comprise an electro-mechanical transport subsystem configured to convey a document through the machine, and a camera arranged adjacent the transport and configured to capture an image of a front side of the document. A fingerprinting software component may be configured for processing the captured image of the document to create a unique digital fingerprint of the document based on the front side image, and a software interface may be configured for storing the digital fingerprint in a database of document identifiers in association with a unique alphanumeric identifier so that the document may be subsequently identified in a second processing machine that has access to the database. The digital fingerprint may be responsive to indicia that otherwise appears on the front side of the document, and may comprise data that identifies a document as being unique based on the front side indicia.

Abstract: A method of defining data patterns for object handling includes obtaining an image of an input data area, processing the image to obtain image data, and comparing the image data with a pattern, wherein the pattern identifies spatial information of corresponding pattern fields of the pattern. The method further includes determining a confidence level of the comparison of the image data according to a success in matching the image data with the pattern fields, comparing the confidence level with a confidence threshold associated with the pattern, and selecting the pattern. A pattern output associated with the selected pattern is identified, wherein the pattern output corresponds to a canonical return format, and the pattern output is applied to the image data.

Abstract: A method/apparatus for identifying an object based on a pattern of structural features located in a particular region wherein the pattern comprises at least one fingerprint feature. The region may be recognized and used to identify the object. A first feature vector (FV) may be extracted from a first image of the pattern and may be mapped to an object identifier. To authenticate the object, a second FV may be extracted from a second image of the same region. The FVs may be compared and difference(s) determined. A match correlation value (MCV) may be calculated based on the difference(s). The difference(s) may be dampened if associated with expected wear and tear reducing the impact of the difference(s) on the MCV. The differences may be enhanced if associated with changes that are not explainable as wear and tear increasing the impact of the difference(s) on the MCV.