Training detection model using output of language model applied to event information
US-2024419941-A1 · Dec 19, 2024 · US
US2021092863A1 · US · A1
| Field | Value |
|---|---|
| Publication number | US-2021092863-A1 |
| Application number | US-202016946020-A |
| Country | US |
| Kind code | A1 |
| Filing date | Jun 2, 2020 |
| Priority date | Sep 19, 2019 |
| Publication date | Mar 25, 2021 |
| Grant date | — |
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The present disclosure provides systems and methods for automated bag packaging, comprising at least one processor; and memory storing comprising: receiving an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; for each group: performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising a size of the first bag; iteratively simulating packaging of a largest item of the group into the first bag until all items are packaged in the selected bag; generating at least one set of instructions for packaging the items into the selected bag; and sending the generated instructions to a computer system for display, the instructions including at least one item identifier and one bag identifier.
Opening claim text (preview).
1 - 20 . (canceled) 21 . A computer-implemented method for automated bag packaging, comprising: receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising measurements of the first bag, iteratively simulating packaging the at least one item into a virtual box associated with the first bag, wherein dimensions of the virtual box are calculated based on a virtual height of the first bag, a width of the first bag, and a length of the first bag, and generating at least one set of instructions for packaging the items into the first bag; and sending the generated instructions to a computer system for execution, the instructions including at least one item identifier and one bag identifier. 22 . The computer-implemented method of claim 21 , wherein the dimensions of the virtual box include a height, a width, and a length. 23 . The computer-implemented method of claim 22 , wherein the width of the virtual box is equal to the width of the first bag less the virtual height. 24 . The computer-implemented method of claim 22 , wherein the length of the virtual box is equal to the length of the first bag less the virtual height. 25 . The computer-implemented method of claim 21 , wherein performing the optimization process further comprises dividing the virtual box into a number of equal-volume sub-boxes. 26 . The computer-implemented method of claim 25 , wherein iteratively simulating packaging items into the one or more bags comprises iteratively simulating packaging items into the sub-boxes. 27 . The computer-implemented method of claim 21 , wherein a maximum virtual height (vHeight) of the first bag is based on the width of the first bag (bWidth) and the length of the first bag (bLength). 28 . The computer-implemented method of claim 27 , wherein the maximum virtual height of the first bag (vHeight) is computed as vHeight=9+(−2*(bLength+bWidth))+(bLength*bWidth). 29 . A computerized system for automated bag packaging, comprising: at least one processor; and at least one non-transitory storage medium comprising instructions that, when executed by the at least one processor, cause the at least one processor to perform steps comprising: receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising measurements of the first bag, iteratively simulating packaging the at least one item into a virtual box associated with the first bag, wherein dimensions of the virtual box are calculated based on a virtual height of the first bag, a width of the first bag, and a length of the first bag, and generating at least one set of instructions for packaging the items into the first bag; and sending the generated instructions to a computer system for execution, the instructions including at least one item identifier and one bag identifier. 30 . The system of claim 29 , wherein the dimensions of the virtual box include a height, a width, and a length. 31 . The system of claim 30 , wherein the width of the virtual box is equal to the width of the first bag less the virtual height. 32 . The system of claim 30 , wherein the length of the virtual box is equal to the length of the first bag less the virtual height. 33 . The system of claim 29 , wherein performing the optimization process further comprises dividing the virtual box into a number of equal-volume sub-boxes. 34 . The system of claim 33 , wherein iteratively simulating packaging items into the one or more bags comprises iteratively simulating packaging items into the sub-boxes. 35 . The system of claim 29 , wherein a maximum virtual height (vHeight) of the first bag is based on the width of the first bag (bWidth) and the length of the first bag (bLength). 36 . The system of claim 35 , wherein the maximum virtual height of the first bag (vHeight) is computed as vHeight=9+(−2*(bLength+bWidth))+(bLength*bWidth). 37 . A computer-implemented system for automated bag packaging, comprising: receiving, from a remote system, an order comprising at least one item; searching at least one data store to determine one or more properties associated with each item; performing an optimization process for packaging the at least one item into one or more bags, by: selecting a data structure representing a first bag, the data structure comprising measurements of the first bag, a maximum virtual height of the first bag (vHeight) is computed as: vHeight=9+(−2*(bLength+bWidth))+(bLength*bWidth), and generating at least one set of instructions for packaging the items into the selected bag; and sending the generated instructions to a computer system for execution, the instructions including at least one item identifier and one bag identifier. 38 . The system of claim 37 , wherein the optimization process further comprises iteratively simulating packaging the at least one item into a virtual box associated with the first bag, wherein dimensions of the virtual box are calculated based on a virtual height of the first bag, a width of the first bag, and a length of the first bag. 39 . The system of claim 38 , wherein the performing the optimization process further comprises: dividing the virtual box into a number of equal-volume sub-boxes; and iteratively simulating packaging items into the one or more bags comprises iteratively simulating packaging items into the sub-boxes. 40 . The system of claim 38 , wherein the wherein the dimensions of the virtual box include a height, a width, and a length: the width of the virtual box is equal to the width of the first bag less the virtual height; and the length of the virtual box is equal to the length of the first bag less the virtual height.
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