https://eureka.patsnap.com/resources/blog/rd-blog/vision-based-damaged-barcode-symbol-decoding-algorithm-patent-landscape/ · Patsnap · data cut-off 2026-10-16 · downloaded from the live page
Patent Landscape · Logistics, Material Handling & Packaging

Vision-Based Damaged Barcode Symbol Decoding Patents

A 54-family dataset on vision-based damaged barcode decoding, led by Zebra Technologies at 35.2% of families, with a long tail of single-filing entities.

144
Published Records
54
Simple Patent Families
US
Leading Jurisdiction
32
Filers Listed (max 100)

144 published records collapse into 54 simple (DOCDB) families; the difference is the same invention filed in more than one country.

  • 54 simple patent families and 144 published records match a search string combining machine vision, barcode, and damage or decoding terms.
  • Zebra Technologies Corp is named on 19 of the 54 families (35.2%), the highest share of any single filer row in this set.
  • 28 of 32 listed filers hold 2 or fewer families each, indicating a spread of single- and low-filing entities beyond the top row.
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Published byPatsnap Research··5 min readSourced from Patsnap Eureka
Overview

What this dataset covers

This page reports results for the search string TAC:((machine AND vision) AND barcode AND (damaged OR decod*)), which returns 144 published records collapsing into 54 simple patent families. The search sets no date limit, so the set spans whatever filing dates the matching records happen to carry; the filing-trend chart below shows a recent window only, not the full scope. Records are drawn from 15 receiving offices, with the United States, WIPO (PCT) filings, and the European Patent Office among the largest by volume.

With 54 families in scope, this is a small pool. The figures below describe what the search returned, not a map of the field: treat this page as a starting point for a more targeted search rather than a complete picture of who has filed in this space.

Records vs. families in scope
  1. ZEBRA TECHNOLOGIES CORP19
  2. DIGIMARC CORP3
  3. DIGIMARC LLC3
  4. NOVANTA CORP3
  5. JOHNSON & JOHNSON VISION CARE INC2
  6. HAI ROBOTICS U S A INC1
  7. SCANDIT AG1
  8. MANAKULA VINAYAGAR INST OF TECH1
  9. INCEPTION ROBOTICS LLC1
  10. BGS COLLEGE OF ENGINEERING & TECHNOLOGY (BGSCET)1

Counted over all 144 published records, including filings from before 2008; the filing-trend chart below covers only the 136 records from 2008 onward, so the two charts are not the same set of documents. Ordered by volume only, not by importance or claim strength. Counted in simple (DOCDB) patent families, so one invention filed in several countries counts once. Names come from Patsnap's standardised assignee field as recorded on each document; subsidiaries and group companies are not merged. The icon before each name is read from the name itself (words such as University, Institute or Ltd); the data carries no organisation-type field, so treat it as a reading aid rather than a classification. 2 rows in this table start with the same name (DIGIMARC CORP, DIGIMARC LLC). They are left as separate rows, so the largest-filer figure above is per legal entity, not per group. Rows that look related still cannot be added together: one family can name several of them. Filings held by named individuals rather than organisations are removed where they can be identified (5 here); that identification is not exhaustive, so an individually held filing can still appear below. Either way those filings stay inside the totals above. This table shows the top 30 of the 32 filers returned for this search; the data endpoint returns at most 100 entities, so even that 32 is not the complete set of filers. A single family can name more than one filer, so these counts overlap and do not add up to the total.

Source: Patsnap Eureka. Assignee ranking and totals. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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The numbers

Filing trend and technology composition

Two views of the same 54 families: when the underlying records were filed, and which IPC subclasses they carry.

Filing trend by earliest filing year (published records) (136 of 144 published records)

Published records by earliest filing year run from 3 in 2008 to a peak of 23 in 2022, with 7 recorded so far in 2026. Publication lag means 2022 onward is still filling in, most recent-year filings have not yet published, so no decline should be read into the final years of this chart.

Filing trend by earliest filing year (published records) (136 of 144 published records)06131925320082010201220142016201820202320222024720262022 onwards are shaded as still filling in: a filing is only visible once it publishes, up to 30 months after filing.

Counted in published records by earliest filing year, not de-duplicated into families. A filing is counted in the year it was filed, but it only becomes visible after it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. 2022 onwards are therefore still filling in and are shaded; no growth figure on this page uses them. Because this series counts documents rather than inventions, a rise can mean more inventions or the same inventions filed in more countries; this dataset cannot separate the two. This chart covers 2008-2026 (136 records); the 144 total quoted above includes earlier filings outside the window.

IPC subclass composition (share of 54 families)

G06K (data recognition & presentation) appears on 48.1% of the 54 families, the highest share of any subclass, followed by G06V (image/video recognition) at 31.5% and H04N (pictorial communication) at 24.1%. G06F and G06Q each appear on 16.7% of families. Because a family can carry more than one subclass, these shares add up to more than 100%.

IPC subclass composition (share of 54 families)G06K · Data recognition & presentation2648.1%G06V · Image/video recognition1731.5%H04N · Pictorial communication (video…1324.1%G06F · Electric digital data processi…916.7%G06Q · Business, commerce & admin dat…916.7%G06T · Image data processing & genera…814.8%B25J · Manipulators & robots47.4%H04W · Wireless communication networks47.4%Other3463.0%

Shares are the percentage of the 54 patent families in scope. One patent family can carry several IPC classes, so the shares add up to more than 100%.

Source: Patsnap Eureka. Filing trend and technology composition. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.

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Example filing

One record from the result set

From the result set
US20220350982A12022-11-03

Systems and Methods to Optimize Imaging Settings and Image Capture for a Machine Vision Job

ZEBRA TECHNOLOGIES CORPORATION

The abstract describes configuring a machine vision job by setting multiple banks of imaging parameters, transmitting the job to an imaging device, capturing an image under one bank of parameters, attempting to decode a barcode within that image, and responding to a successful decode by ending the barcode-reading process.This is the first record returned under the database's default ordering, not the most cited, newest, or broadest filing in the set.

US20220350982A1, patent drawing 1US20220350982A1, patent drawing 2
View full record

Selected as the first record the search returns under the database default order, then shown in full. It is not ranked by citations, claim breadth or commercial importance, and it is not a judgement about which filing in this space matters most.

Source: Patsnap Eureka. The first record the search returned, shown in full. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
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Dataset snapshot

Reading the filer and classification data

These figures describe counts returned by the search, not a ranking of quality or strategy.

Largest filer
19 of 54
families named

Zebra Technologies Corp at 35.2% of families

Zebra Technologies Corp is named on 19 of the 54 simple patent families in scope (35.2%). This is a count of named families, not a measure of claim scope, validity, or enforceability.

Single-row share; not summed with any other filer.
Long tail
28 of 32
listed filers

Most listed filers hold 2 or fewer families

28 of the 32 listed filers hold 2 or fewer simple patent families each. The filer list contains organisations only; individual-named filers were removed from the list but remain inside the total and share figures.

Filer rows are not rolled up to corporate group.
Technology composition
48.1%
of 54 families

G06K carries the highest IPC share

G06K (data recognition & presentation) is carried by 26 of the 54 families (48.1%), the highest share among the subclasses shown. Because families can carry multiple IPC subclasses, this and the other shares reported add up to more than 100%.

Shares are of all 54 families, not of a filtered subset.
Filing scope
144 records
15 receiving offices

Records span 15 receiving offices

The 144 published records in scope were filed across 15 receiving offices in total, with the United States, WIPO (PCT), and the EPO among the largest by volume. This counts where applications were filed, not where any filer is based.

Receiving-office counts sum to the record total, not the family total.
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Source: Patsnap Eureka. Derived observations on the same dataset. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
Next steps

Where to take this from here

This page is a starting point built from a single search string. Narrowing or widening the query, or pulling granted claims directly, will sharpen any of the figures above.

Read the granted claims

Family and IPC counts describe where documents sit, not what any granted claim requires. Pull the claim set for any record before drawing a freedom-to-operate conclusion.

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Refine the search string

A broader or narrower combination of machine vision, barcode, and decoding terms will change which of the 54 families and 144 records appear, including the small IPC branches not detailed here.

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Source: Patsnap Eureka. Suggested next steps. No new data: every figure named here is one of those above. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.Run this in Eureka MCP
FAQ

Common questions about this dataset

Answers are grounded in the same dataset. Derived from one Patsnap search for Vision-Based Damaged Barcode Symbol Decoding Algorithm Patent Landscape, covering all matching records regardless of filing date (the search string sets no date limit), retrieved 2026-10-16. Counts cover published records only and move as new filings publish.Run this in Eureka MCP

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How this page was built, and what the numbers do and do not mean

Search. Every figure on this page comes from one Patsnap search, run once and not edited afterwards. This is the exact search string:

TAC:((machine AND vision) AND barcode AND (damaged OR decod*))

Reading the field codes: TAC searches the title, abstract and claims of each record, not the full description. The search string sets no date limit, so the scope is every matching record in the database regardless of when it was filed. It is not restricted to recent years. How this string was built matters for how far the counts can be pushed. It was generated in batch from a topic list rather than hand-crafted for this page, and the result set is not manually screened. A keyword search over title, abstract and claims both over-captures (unrelated filings that happen to use the same words) and under-captures (the same invention written in different words). This page cannot measure either effect, so read every figure here as what this particular string returned, not as what exists in the field. No subclass carries much of this set: the most common one is on 48.1% of the patent families and the set spans 31 subclasses in all. That can mean the technology genuinely sits across several areas, or that the search string is also matching adjacent work that happens to use the same words. This page cannot separate the two, and the result set is not screened by hand.

What is being counted. Two different units appear on this page and they are not interchangeable. The filer list and the technology split are counted in simple (DOCDB) patent families: one invention counts once however many countries it was filed in. The total, the jurisdiction split and the filing-year chart are counted in published records: the same invention counts once per publication. For this search that is 144 records and 54 families. Record counts reward filing in many jurisdictions; family counts do not. Shares are only ever taken against a denominator in the same unit, and each one names it.

Who the filers are. Names come from Patsnap's standardised assignee field, as recorded on the documents themselves. They are not rolled up to corporate group: a parent and its subsidiaries appear as separate entries, and a portfolio acquired from another company stays under the name on the document unless the assignment is reflected there. This list is meant to carry organisations, not people. Filings held by a named individual are identified by matching the assignee against the inventors on the same search, and, for names written in Chinese, Japanese or Korean characters, by the name carrying no organisational suffix; those are removed from the list (5 of them here). Neither test is exhaustive: the inventor list it matches against is itself capped, and a personal name written in Latin script with no organisational wording in it cannot be told apart from a short company name by rule. So an individually held filing can still appear in the list. Those filings stay inside every total and share on this page either way, so the listed entries can add up to less than the total. A record shown in full further down still names its assignee exactly as the patent office records it, including where that is a person: that name is how the record is identified and checked. What is left out of the ranking is people as ranked entries, not people as cited sources. The table shows the top 30 of the 32 filers returned, ordered by count alone; the data endpoint returns at most 100 entities, so even that 32 is not every filer. One patent family can name several filers and each is counted separately, so these rows are not slices of a divided whole: adding them together over-counts, and this page deliberately publishes no combined "top five" share for that reason. See every filer, individuals included

Dates. The year chart counts by earliest filing year, not publication year. A filing only becomes visible once it publishes: roughly 18 months for most routes, and up to 30 months where a PCT application enters national phase. Measured across these pages, the year four back from today still holds only about 89% of its eventual count. 2022 onwards are therefore shaded on the chart as still filling in. The data behind this page was retrieved on 2026-10-16.

Legal status. Legal status was not available for this search, so no in-force figure is shown. Get the status breakdown in Eureka

Classification. The technology split uses IPC subclasses (four characters, for example H01M). A single record usually carries several, so the shares add up to more than 100% and a record can appear in more than one bar. Subclass is a coarse grouping; it describes the field a record was classified into, not what the claims cover. Break the classes down to subgroup level

Who wrote the words. The tables, charts, counts, shares and patent numbers on this page are produced directly from the search result by a program; none of them are written or estimated by a language model. The surrounding prose, headings, FAQ answers and the answers in the question panel are drafted by a language model that is given those same figures and is not permitted to introduce others. Prose can still mis-describe a correct figure, so where the two disagree, the tables and charts are the record.

Disclaimer. This page is generated from Patsnap Eureka data drawn from a limited snapshot of global patent and scientific-literature records, and is provided for general information and reference only.

Patent data carries limitations that apply to every figure above. Recent filings are under-counted, because an application is not public until roughly 18 months after filing and database loading adds further delay. The search string defines and constrains everything shown: records that use different terminology, or that sit outside the fields searched, are absent and cannot be counted. Applicant names, classification codes, legal-status codes and citation records are taken as recorded and may contain errors, duplicates, omissions or stale entries. Ordering by volume is not a measure of quality, scope, enforceability or commercial value, and a larger portfolio is not a stronger one. As a result, the analysis may be incomplete or inaccurate and may not reflect the full technology landscape.

Nothing on this page constitutes an exhaustive prior-art, novelty, freedom-to-operate, validity or infringement search, nor does it constitute legal, financial, investment, or professional advice, and it should not be relied upon as such. No attorney-client relationship is created by it. Any patent, commercial, or strategic decision should be verified independently against the primary records and reviewed with qualified patent, legal, and domain professionals. Patsnap makes no warranties, express or implied, as to the accuracy, completeness, or fitness for any particular purpose of the information presented.

The question panel. The answers behind the suggested questions on this page were written when the page was generated, not in response to your click. The progress steps that play before an answer appears are an animation of how that analysis was done; nothing is being searched or computed at that moment. Typing your own question instead opens Patsnap Eureka, which does run it live.

Machine translation. Assignee and organisation names originally recorded in Chinese, Japanese or Korean have been rendered into English by an AI translation step so that the tables stay readable. These renderings are best-effort and may not match a company's registered English name; the original name is what the underlying patent record carries, and it is what any Eureka query launched from this page uses.

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