The Theme Code "イメージ分析技術" had 1,767 patent application filings in the most recent period (2022-01-01 to 2022-07-31). This is a significantly decreased of -463 filings (-20.8%) over 2,230 they had in the same period of the previous year (2021-01-01 to 2021-07-31).
The company had their highest number of filings in 2019 with 4,298 cases, and their lowest number in 2014 with 2,272 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 18,357 cases in total) is 3,060, and the median is 3,616. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
Index | Value |
---|---|
Average | 3,060 patents |
Std Dev | 1,376 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 2,473 cases | -31.6 % |
2021 year | 3,615 cases | -11.59 % |
2020 year | 4,089 cases | -4.86 % |
This report provides the latest patent analysis information (the IP landscape, including a patent map) on the patent search results of the JP patent database for イメージ分析技術[5L096] for the period of the last 10 years (2014-01-01 to 2024-03-31). You can compare the information in this report with the trends in your competitors’ patent filings and technologies, and use it to search for important patents.
This service provides, free of charge, a patent analysis report based on the latest patent data (Japanese, U.S., European, and PCT application publications) for use in patent searches, patent analysis, and IP landscaping. The service is offered by "Patent Integration" a firm specializing in patent search/patent analysis.
This report includes basic information to help you understand the IP strategy and management of イメージ分析技術, such as changes in the number of patents/patent applications they have filed, comparisons of the numbers of patents/patent applications filed by their peers and competitors, their top coapplicants (joint research partners, alliance partners), and their most important patents. It can be used in various intellectual property business operations such as IP landscaping, patent search/patent analysis, preparation of intellectual property business evaluation reports, selection of M&A candidates, and selection of alliance partners.
He is a patent attorney at a patent office. He specializes in invention counseling, patent filing, and intellectual property strategies for start-up companies and new businesses in the fields of software, information technology and artificial intelligence. He runs a patent course for beginners on Udemy, an online course provider.
After studying physics at the University of Tokyo as a doctoral student, he was engaged in intellectual property analysis and technology trend research as an in-house patent attorney at a precision equipment manufacturer and at Toyota Central R&D Labs. Inc..
The concept of the "IP landscape" (IPL) has been attracting attention recently.
An IP landscape is not limited to patent information, but also integrates and analyzes business information (e.g., non-patent information such as papers, news releases, stock information, and market information). Intellectual-property-based business management is realized through the analysis of intellectual property information applied to the formulation of management strategies and business strategies. This is a comprehensive approach that includes but not limited to planning of open and closed strategies, selecting M&A candidates, searching for alliance partners, and formulating intellectual property strategies, through the exploitation of intellectual property information.
IP landscaping usually includes patent search and patent analysis. In patent search and patent analysis, it is important to grasp the market position of each company and the overall technological trends and development trends for each technology. More specifically, it is important to understand what intellectual property your own company and other companies hold, what the strengths and weaknesses of other companies are, and how other companies are trying to exploit their intellectual property. In other words, it is important to understand both the business strategy and the intellectual property strategy of each company.
After reading this search report, you may be interested in more detailed patent searches and patent analysis. We offer a service called Patent Integration, which is an integrated patent search and patent analysis service. With reasonable pricing and a simple user interface such that even beginners can quickly search for and analyze patent information by company or technology from a web browser, please consider using it for detailed patent searches, patent analysis, and IP landscaping.
Patent Integration has a patent-landscaping function that can visually represent a set of tens of thousands of patents/patent applications. This allows you to convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
The changes in the number of patent filings of イメージ分析技術 over the last 20 years (JP) are shown below.
The change in the number of patents/patent applications is the most basic index in patent analysis. By examining the change in the number of patents/patent applications, you can see the status of technological development and R&D focus for each company or technology. It should be noted that since there is a one and a half year lag between the filing and the laying open of patent applications, it is not possible to analyze the situation more recently than one and half years prior to the present.
In this report, you can only see the change in the number of patents/patent applications by company or technology, whereas Patent Integration allows you to quickly compare the number of patent applications with your competitors in each technical field by cross-referencing with other keywords and patent classifications.
Patent landscaping is a visualization of the distribution of patent filings (application focus areas) for each technical keyword. Mountains and islands indicated by heatmap contours represent clusters of patent applications filed, and red areas on the heatmap indicate many patent filings relating to the keyword.
The patent landscape for イメージ分析技術 gives an intuitive understanding of what patent filings they have made and what technical position is to be established. By selecting filing year checkboxes and filtering, you can track their past filing trends (what technical area they have focused on).
By selecting applicant/patent holder checkboxes and filtering, you can visually grasp the technical areas of the filings for each applicant and the partnerships or alliances formed. Please use it as a guide for patent analysis and IP landscaping.
In addition, by visually representing the patent data in this manner, you can convincingly show the technical positions of your company and its competitors to your management and business strategists in order to formulate management strategies and business strategies.
In Patent Integration, you can check the specifics of a patent filing by clicking anywhere on the patent landscape screen. You can also quickly check the position of each applicant for each technical field by cross-referencing with other keywords and patent classifications. You can use it as a guide when considering hypotheses about each company's IP strategy on the IP Landscape. You can also use it for higher-grade intellectual property activities. It has reasonable pricing and a simple user interface that is easy for beginners to handle.
The following is a list of words (characteristic terms) often used in イメージ分析技術 patent applications. Characteristic terms with a higher importance are used in more patents/patent applications.
This patent analysis report was created for a patent search set of 28,661 cases retrieved by applying the following search formula and analysis period to the following patent database. Patent information such as a patent analysis result, a patent map, and a patent landscape can be freely used for patent searches, analysis, and work on intellectual property strategies, including IP landscaping.
The patent information of the higher applicant in the technical theme イメージ分析技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
Comparing the number of applications of each company, キヤノン株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 228 cases, followed by 富士通株式会社 with 100 cases.
Name | Cases |
---|---|
キヤノン株式会社 | 228 cases |
富士通株式会社 | 100 cases |
三菱電機株式会社 | 53 cases |
日本電気株式会社 | 51 cases |
株式会社日立製作所 | 45 cases |
株式会社東芝 | 31 cases |
日本電信電話株式会社 | 13 cases |
株式会社リコー | 12 cases |
富士フイルム株式会社 | 12 cases |
ソニーグループ株式会社 | 6 cases |
Comparing the number of applications of each company, キヤノン株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 2,266 cases, followed by 富士通株式会社 with 1,006 cases.
Name | Cases |
---|---|
キヤノン株式会社 | 2,266 cases |
富士通株式会社 | 1,006 cases |
日本電気株式会社 | 975 cases |
三菱電機株式会社 | 532 cases |
株式会社リコー | 521 cases |
株式会社東芝 | 466 cases |
日本電信電話株式会社 | 414 cases |
ソニーグループ株式会社 | 406 cases |
株式会社日立製作所 | 342 cases |
富士フイルム株式会社 | 325 cases |
パナソニックホールディングス株式会社 | 48 cases |
Below is a patent map showing changes in the number of applications for JP patents of 11 companies in the same industry over the past 20 years.
The patent information of the higher applicant in the technical theme イメージ分析技術 is shown below. By comparing the number of patents of each company, you can check the research and development status of each company's past and present technical themes and the position of each company in the technical theme.
among the top coapplicants, キヤノン株式会社 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 228 cases, followed by 富士通株式会社 with 100 cases.
among the top coapplicants, キヤノン株式会社 has the highest number of joint applications in the last for the target period (2014 to 2024) with 2,266 cases, followed by 富士通株式会社 with 1,006 cases.
Name | Cases |
---|---|
キヤノン株式会社 | 2,266 cases |
富士通株式会社 | 1,006 cases |
日本電気株式会社 | 975 cases |
株式会社東芝 | 466 cases |
ソニーグループ株式会社 | 406 cases |
株式会社日立製作所 | 342 cases |
パナソニックホールディングス株式会社 | 48 cases |
Below is a patent map showing the changes in the numbers of JP patent filings by イメージ分析技術’s top 7 coapplicants over the last 20 years.
イメージ分析技術 filed 2,266 joint applications with キヤノン株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,358 cases in total) is 226, and the median is 250. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The company had their highest number of filings in 2019 with 354 cases, and their lowest number in 2016 with 190 cases.
Index | Value |
---|---|
Average | 226 patents |
Std Dev | 107 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 221 cases | -16.60 % |
2021 year | 265 cases | +13.25 % |
2020 year | 234 cases | -33.9 % |
イメージ分析技術 filed 466 joint applications with 株式会社東芝 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 262 cases in total) is 43.7, and the median is 49.0. The coefficient of variation (standard deviation/mean) is 0.5, and there have been big fluctuations in the number of filings from year to year.
The company had their highest number of filings in 2018 with 73 cases, and their lowest number in 2022 with 29 cases.
Index | Value |
---|---|
Average | 43.7 patents |
Std Dev | 22.9 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 29 cases | -42.0 % |
2021 year | 50 cases | -16.67 % |
2020 year | 60 cases | +25.00 % |
イメージ分析技術 filed 1,006 joint applications with 富士通株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 561 cases in total) is 93.5, and the median is 105. The coefficient of variation (standard deviation/mean) is 0.4, and there have been big fluctuations in the number of filings from year to year.
The company had their highest number of filings in 2017 with 170 cases, and their lowest number in 2022 with 77 cases.
Index | Value |
---|---|
Average | 93.5 patents |
Std Dev | 35.8 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 77 cases | -37.4 % |
2021 year | 123 cases | -3.91 % |
2020 year | 128 cases | +32.0 % |
イメージ分析技術 filed 975 joint applications with 日本電気株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 559 cases in total) is 93.2, and the median is 87.5. The coefficient of variation (standard deviation/mean) is 0.7, and there have been relatively large fluctuations in the number of filings from year to year.
The number of filings has been decreasing for the last 3 years (2020 to 2023). The company had their highest number of filings in 2019 with 182 cases, and their lowest number in 2021 with 36 cases.
Index | Value |
---|---|
Average | 93.2 patents |
Std Dev | 67.7 |
COV | 0.7 |
Year | Cases | YOY |
---|---|---|
2022 year | 49 cases | +36.1 % |
2021 year | 36 cases | -71.4 % |
2020 year | 126 cases | -30.8 % |
イメージ分析技術 filed 406 joint applications with ソニーグループ株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 204 cases in total) is 34.0, and the median is 30.0. The coefficient of variation (standard deviation/mean) is 0.8, and there have been relatively large fluctuations in the number of filings from year to year.
The company had their highest number of filings in 2018 with 71 cases, and their lowest number in 2022 with 6 cases.
Index | Value |
---|---|
Average | 34.0 patents |
Std Dev | 27.2 |
COV | 0.8 |
Year | Cases | YOY |
---|---|---|
2022 year | 6 cases | -77.8 % |
2021 year | 27 cases | -18.18 % |
2020 year | 33 cases | -50.7 % |
The following shows JP patents held by イメージ分析技術 that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and イメージ分析技術’s JP patents/patent applications of high importance cited by Examiners in patent examination processes.
By noting the most important patents, you can obtain knowledge of the competitive business environment in which イメージ分析技術 is placed (e.g., whether it is a fiercely competitive environment or an oligopolistic market and the like). In general, it can be understood that a company with a large number of demands for invalidation trials is developing their business in a business environment where IP disputes are common.
If you want to search for more detailed information, you can use Patent Integration to retrieve and download by company cited patents/patent applications or patents undergoing invalidation trials. You can quickly extract important patents from a patent set that includes multiple competitors by cross-referencing with other keywords and patent classifications. Please consider using it for searches for important patents/patent applications.
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 20 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7259324 "室内監視装置" (Opposition day 2023-10-05) , next is 特許7250669 "ショベル" (Opposition day 2023-10-02) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7259324 | 室内監視装置 | 2023-10-05 |
2 | 特許7250669 | ショベル | 2023-10-02 |
3 | 特許7250670 | ショベル | 2023-10-02 |
4 | 特許7250330 | 検査装置及び学習装置 | 2023-09-28 |
5 | 特許7230873 | 異物検出装置、異物除去装置および異物検出方法 | 2023-08-31 |
6 | 特許7223103 | 錐体外路症状診断装置及び錐体外路症状診断プログラム | 2023-08-14 |
7 | 特許7217570 | 情報処理システム及びプログラム、情報処理方法、サーバ | 2023-08-03 |
8 | 特許7217589 | 画像解析方法、画像解析装置、プログラム、学習済み深層学習アルゴリズムの製造方法および学習済み深層学習アルゴリズム | 2023-08-03 |
9 | 特許7168194 | 偽造判定方法、プログラム、記録媒体および偽造判定装置 | 2023-05-01 |
10 | 特許7166300 | 雑草防除装置 | 2023-04-27 |
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 39 patents Protest from third parties. The average number of Protest is 1.3 times. The most recently Protest patent is 特開2022-078702 "航空機の位置制御システム、航空機及び航空機の位置制御方法" (Protest day 2024-02-14) , next is 特開2021-180872 "電気掃除装置、電気掃除装置用のプログラム、電気掃除機、電気掃除機用のプログラム、別体装置及び別体装置用プログラム" (Protest day 2024-02-06) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2022-078702 | 航空機の位置制御システム、航空機及び航空機の位置制御方法 | 2024-02-14 |
2 | 特開2021-180872 | 電気掃除装置、電気掃除装置用のプログラム、電気掃除機、電気掃除機用のプログラム、別体装置及び別体装置用プログラム | 2024-02-06 |
3 | 特開2023-137057 | 欠陥予測モデルの生成方法、びん外観検査方法、およびびん外観検査装置 | 2024-01-31 |
4 | 特開2020-179173 | 情報処理システム、情報処理方法、及び制御プログラム | 2023-12-15 |
5 | 特許7373840 | 検査装置 | 2023-12-14 |
6 | 特開2021-148719 | 検査システム、学習装置、学習プログラム、学習方法、検査装置、検査プログラム、検査方法 | 2023-12-14 |
7 | 特開2022-130608 | 肌状態分析システム、サーバおよび肌状態分析方法 | 2023-12-08 |
8 | 特開2023-110924 | 情報処理装置、情報処理プログラム、および情報処理方法 | 2023-11-24 |
9 | 特許7387911 | 浸水被害判定装置、浸水被害判定方法及びプログラム | 2023-11-09 |
10 | 特開2022-139211 | 推定装置、方法およびプログラム | 2023-10-27 |
11 | 特開2022-140050 | 推定装置、方法およびプログラム | 2023-10-27 |
12 | 特開2022-139212 | 推定装置、方法およびプログラム | 2023-10-27 |
13 | 特開2021-110629 | 検査装置、及び検査方法 | 2023-10-10 |
14 | 特開2021-051627 | 運転支援装置、運転支援方法、および運転支援プログラム | 2023-09-08 |
15 | 特許7394602 | 判定装置 | 2023-05-08 |
16 | 特開2022-129667 | 莢果選別システム及び莢果選別装置 | 2023-02-01 |
17 | 特許7301569 | コンクリート表面の充填率算出システムおよび充填率算出方法 | 2023-01-13 |
18 | 特開2020-183876 | 特徴点認識システムおよびワーク処理システム | 2022-12-08 |
19 | 特許7327039 | 活動量管理プログラム、活動量管理システム、及び活動量管理方法 | 2022-11-25 |
20 | 特許7393313 | 欠陥分類装置、欠陥分類方法及びプログラム | 2022-10-26 |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 61 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.3. The most protest patent is 特表2017-502732 "少なくとも1つの顔の臨床徴候を評価するためのプロセス" (3 times) , and the next most protest patent is 特許6317296 "3次元形状の測定方法及び測定装置" (3 times) .
- | No. | Title | |
---|---|---|---|
1 | 特表2017-502732 | 少なくとも1つの顔の臨床徴候を評価するためのプロセス | 3 times |
2 | 特許6317296 | 3次元形状の測定方法及び測定装置 | 3 times |
3 | 特許7069609 | 作物栽培支援装置 | 2 times |
4 | 特許6867117 | 医用画像処理方法及び医用画像処理装置 | 2 times |
5 | 特許7217589 | 画像解析方法、画像解析装置、プログラム、学習済み深層学習アルゴリズムの製造方法および学習済み深層学習アルゴリズム | 2 times |
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 111 patents Inspection from third parties. The average number of Inspection is 1.1 times. The most recently Inspection patent is 特開2023-137057 "欠陥予測モデルの生成方法、びん外観検査方法、およびびん外観検査装置" (Inspection day 2024-03-08) , next is 特開2022-078702 "航空機の位置制御システム、航空機及び航空機の位置制御方法" (Inspection day 2024-03-06) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特開2023-137057 | 欠陥予測モデルの生成方法、びん外観検査方法、およびびん外観検査装置 | 2024-03-08 |
2 | 特開2022-078702 | 航空機の位置制御システム、航空機及び航空機の位置制御方法 | 2024-03-06 |
3 | 特表2021-524120 | ディスプレイ検出装置、そのための方法、およびコンピュータ読み取り可能媒体 | 2024-02-20 |
4 | 特開2022-129667 | 莢果選別システム及び莢果選別装置 | 2024-02-15 |
5 | 特開2022-129668 | 莢果選別システム及び莢果選別装置 | 2024-02-15 |
6 | 特開2021-180872 | 電気掃除装置、電気掃除装置用のプログラム、電気掃除機、電気掃除機用のプログラム、別体装置及び別体装置用プログラム | 2024-02-15 |
7 | 特開2022-129666 | 莢果選別システム及び莢果選別装置 | 2024-02-15 |
8 | 特許6734487 | 地域別笑顔度表示システム、地域別笑顔度表示方法及びプログラム | 2024-02-06 |
9 | 特許6651085 | 属性認識システム、学習サーバ、及び属性認識プログラム | 2024-02-06 |
10 | 特許6687199 | 商品棚位置登録プログラム、及び情報処理装置 | 2024-02-06 |
11 | 特開2022-060201 | モーションキャプチャを介したロボットカメラ制御 | 2024-01-31 |
12 | 特表2023-501126 | 組織画像分類用のマルチインスタンス学習器 | 2024-01-05 |
13 | 特開2021-148719 | 検査システム、学習装置、学習プログラム、学習方法、検査装置、検査プログラム、検査方法 | 2023-12-27 |
14 | 特許7373840 | 検査装置 | 2023-12-22 |
15 | 特開2020-179173 | 情報処理システム、情報処理方法、及び制御プログラム | 2023-12-19 |
16 | 特開2022-130608 | 肌状態分析システム、サーバおよび肌状態分析方法 | 2023-12-12 |
17 | 特開2023-110924 | 情報処理装置、情報処理プログラム、および情報処理方法 | 2023-12-11 |
18 | 特開2022-051761 | 3次元空間内の姿勢推定 | 2023-12-05 |
19 | 特開2022-139211 | 推定装置、方法およびプログラム | 2023-11-09 |
20 | 特開2022-140050 | 推定装置、方法およびプログラム | 2023-11-09 |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 224 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.1. The most inspection patent is 特許6317296 "3次元形状の測定方法及び測定装置" (4 times) , and the next most inspection patent is 特許6878923 "画像処理装置、画像処理システム、および画像処理プログラム" (4 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6317296 | 3次元形状の測定方法及び測定装置 | 4 times |
2 | 特許6878923 | 画像処理装置、画像処理システム、および画像処理プログラム | 4 times |
3 | 特表2017-502732 | 少なくとも1つの顔の臨床徴候を評価するためのプロセス | 3 times |
4 | 特許7132701 | タイヤ画像の認識方法及びタイヤ画像の認識装置 | 3 times |
5 | 特許6611865 | 学習済みモデルを選定する方法、訓練データを生成する方法、学習済みモデルを生成する方法、コンピュータおよびプログラム | 2 times |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 7,614 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 3.1. The most cited patent is 特許6240301 "仮想空間を介して通信するための方法、当該方法をコンピュータに実行させるためのプログラム、および当該プログラムを実行するための情報処理装置" (66 times) , and the next most cited patent is 特許6440303 "対象認識装置、対象認識方法、およびプログラム" (59 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6240301 | 仮想空間を介して通信するための方法、当該方法をコンピュータに実行させるためのプログラム、および当該プログラムを実行するための情報処理装置 | 66 times |
2 | 特許6440303 | 対象認識装置、対象認識方法、およびプログラム | 59 times |
3 | 特開2018-055259 | 情報処理装置、情報処理方法及びプログラム | 59 times |
4 | 特表2017-531976 | アレイカメラを動的に較正するためのシステム及び方法 | 48 times |
5 | 特開2021-027917 | 情報処理装置、情報処理システム、および機械学習装置 | 47 times |
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