The Technical Field "モデル" had 4,610 patent application filings in the most recent period (2022-01-01 to 2022-07-31). This is a with an decreasing trend transition of -613 filings (-11.7%) over 5,223 they had in the same period of the previous year (2021-01-01 to 2021-07-31). This report also includes technical terms related to " 模型 " in the search set.
The highest number of filings in 2021 with 9,157 cases, and their lowest number in 2014 with 3,757 cases.
The mean of the number of filings over the last 5 years (2018 to 2023, 41,153 cases in total) is 6,859, and the median is 7,698. 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 | 6,859 patents |
Std Dev | 2,859 |
COV | 0.4 |
The number of filings has been decreasing for the last 3 years (2020 to 2023).
Year | Cases | YOY |
---|---|---|
2022 year | 6,464 cases | -29.41 % |
2021 year | 9,157 cases | +0.03 % |
2020 year | 9,154 cases | +4.09 % |
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 モデル 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 モデル, 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 モデル 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.
This patent analysis report was created for a patent search set of 58,631 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 number of patents and changes in the number of patents of other companies (competitors) in the same industry as モデル are shown below.
Comparison of changes in the number of patents with peers and competitors is an important analytical index for understanding the intellectual property strategies of each company. By checking the transition of the number of patents for each company / competitor, you can check the status of focus on technology development and R&D for each company / technology.
It should be noted that patents have a time lag of one and a half years from filing to publication, so it is not possible to analyze the situation more recent than one and a half years.
If you want to find out more information, " Patent Integration , You can compare the number of patent applications with competitors in each technical field in a short time by multiplying with other keywords and patent classifications.Please use it for more detailed patent information analysis such as selection of M&A candidate destinations and alliance destinations.
Comparing the number of applications of each company, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 258 cases, followed by 三菱電機株式会社 with 229 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 258 cases |
三菱電機株式会社 | 229 cases |
キヤノン株式会社 | 199 cases |
トヨタ自動車株式会社 | 183 cases |
富士通株式会社 | 177 cases |
株式会社東芝 | 117 cases |
日本電気株式会社 | 88 cases |
三菱重工業株式会社 | 58 cases |
日本電信電話株式会社 | 37 cases |
ソニーグループ株式会社 | 23 cases |
コーニンクレッカフィリップスエヌヴェ | 18 cases |
Comparing the number of applications of each company, 株式会社日立製作所 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,618 cases, followed by キヤノン株式会社 with 1,535 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 1,618 cases |
キヤノン株式会社 | 1,535 cases |
三菱電機株式会社 | 1,362 cases |
富士通株式会社 | 1,337 cases |
日本電気株式会社 | 1,224 cases |
日本電信電話株式会社 | 1,209 cases |
トヨタ自動車株式会社 | 951 cases |
株式会社東芝 | 919 cases |
コーニンクレッカフィリップスエヌヴェ | 672 cases |
三菱重工業株式会社 | 393 cases |
ソニーグループ株式会社 | 386 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 number of patents and changes in the number of patents of other companies (competitors) in the same industry as モデル are shown below.
Comparison of changes in the number of patents with peers and competitors is an important analytical index for understanding the intellectual property strategies of each company. By checking the transition of the number of patents for each company / competitor, you can check the status of focus on technology development and R&D for each company / technology.
It should be noted that patents have a time lag of one and a half years from filing to publication, so it is not possible to analyze the situation more recent than one and a half years.
If you want to find out more information, " Patent Integration , You can compare the number of patent applications with competitors in each technical field in a short time by multiplying with other keywords and patent classifications.Please use it for more detailed patent information analysis such as selection of M&A candidate destinations and alliance destinations.
Among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last in the last 3 years (2022 to 2024) with 258 cases, followed by 三菱電機株式会社 with 229 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 258 cases |
三菱電機株式会社 | 229 cases |
トヨタ自動車株式会社 | 183 cases |
富士通株式会社 | 177 cases |
株式会社東芝 | 117 cases |
日本電気株式会社 | 88 cases |
日本電信電話株式会社 | 37 cases |
Among the top coapplicants, 株式会社日立製作所 has the highest number of joint applications in the last for the target period (2014 to 2024) with 1,618 cases, followed by 三菱電機株式会社 with 1,362 cases.
Name | Cases |
---|---|
株式会社日立製作所 | 1,618 cases |
三菱電機株式会社 | 1,362 cases |
富士通株式会社 | 1,337 cases |
日本電気株式会社 | 1,224 cases |
日本電信電話株式会社 | 1,209 cases |
トヨタ自動車株式会社 | 951 cases |
株式会社東芝 | 919 cases |
Below is a ranking of the number of JP patent applications by モデル’s top 7 coapplicants over the last 20 years.
Below is a patent map showing the changes in the numbers of JP patent filings by モデル’s top 7 coapplicants over the last 20 years.
モデル filed 1,618 joint applications with 株式会社日立製作所 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,168 cases in total) is 195, and the median is 234. 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 highest number of filings in 2021 with 271 cases, and their lowest number in 2014 with 88 cases.
Index | Value |
---|---|
Average | 195 patents |
Std Dev | 90.8 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 252 cases | -7.01 % |
2021 year | 271 cases | +6.27 % |
2020 year | 255 cases | +18.60 % |
モデル filed 919 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, 587 cases in total) is 97.8, and the median is 112. 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 number of filings has been decreasing for the last 3 years (2020 to 2023). The highest number of filings in 2021 with 141 cases, and their lowest number in 2014 with 66 cases.
Index | Value |
---|---|
Average | 97.8 patents |
Std Dev | 43.5 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 113 cases | -19.86 % |
2021 year | 141 cases | +22.61 % |
2020 year | 115 cases | +4.55 % |
モデル filed 1,337 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, 931 cases in total) is 155, and the median is 175. 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 highest number of filings in 2019 with 203 cases, and their lowest number in 2014 with 71 cases.
Index | Value |
---|---|
Average | 155 patents |
Std Dev | 62.3 |
COV | 0.4 |
Year | Cases | YOY |
---|---|---|
2022 year | 153 cases | -21.94 % |
2021 year | 196 cases | -2.49 % |
2020 year | 201 cases | -0.99 % |
モデル filed 1,362 joint applications with 三菱電機株式会社 for the analysis period (2014 to 2024).
The mean of the number of filings over the last 5 years (2018 to 2023, 1,020 cases in total) is 170, and the median is 174. 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 highest number of filings in 2021 with 260 cases, and their lowest number in 2015 with 75 cases.
Index | Value |
---|---|
Average | 170 patents |
Std Dev | 80.2 |
COV | 0.5 |
Year | Cases | YOY |
---|---|---|
2022 year | 198 cases | -23.85 % |
2021 year | 260 cases | +0.78 % |
2020 year | 258 cases | +70.9 % |
モデル filed 1,224 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, 764 cases in total) is 127, and the median is 134. The coefficient of variation (standard deviation/mean) is 0.6, 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 highest number of filings in 2019 with 220 cases, and their lowest number in 2021 with 69 cases.
Index | Value |
---|---|
Average | 127 patents |
Std Dev | 79.8 |
COV | 0.6 |
Year | Cases | YOY |
---|---|---|
2022 year | 85 cases | +23.19 % |
2021 year | 69 cases | -66.2 % |
2020 year | 204 cases | -7.27 % |
The following shows JP patents held by モデル that have had an invalidation trial against them demanded or an opposition filed against them by a third party, and モデル’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 モデル 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 2 patents Invalidation Trial from third parties. The average number of Invalidation Trial is 1.0 times. The most recently Invalidation Trial patent is 特許6934143 "自動車の損傷度を査定する方法" (Invalidation Trial day 2023-10-06) , next is 特許6203879 "配列操作のための系、方法および最適化ガイド組成物のエンジニアリング" (Invalidation Trial day 2022-09-30) .
- | No. | Title | Invalidation Trial days |
---|---|---|---|
1 | 特許6934143 | 自動車の損傷度を査定する方法 | 2023-10-06 |
2 | 特許6203879 | 配列操作のための系、方法および最適化ガイド組成物のエンジニアリング | 2022-09-30 |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 2 patents/patent applications were invalidation trial more than once in the examination process of other patent applications. The mean of the number of invalidation trial is 1.0. The most invalidation trial patent is 特許6934143 "自動車の損傷度を査定する方法" (1 times) , and the next most invalidation trial patent is 特許6203879 "配列操作のための系、方法および最適化ガイド組成物のエンジニアリング" (1 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6934143 | 自動車の損傷度を査定する方法 | 1 times |
2 | 特許6203879 | 配列操作のための系、方法および最適化ガイド組成物のエンジニアリング | 1 times |
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 57 patents Opposition from third parties. The average number of Opposition is 1.0 times. The most recently Opposition patent is 特許7325881 "情報処理装置、情報処理方法および情報処理プログラム" (Opposition day 2024-02-09) , next is 特許7312637 "クレーン計画支援システム" (Opposition day 2024-01-12) .
- | No. | Title | Opposition days |
---|---|---|---|
1 | 特許7325881 | 情報処理装置、情報処理方法および情報処理プログラム | 2024-02-09 |
2 | 特許7312637 | クレーン計画支援システム | 2024-01-12 |
3 | 特許7301968 | 中間金属製品のグループからの最終金属製品のグループの製造を制御するための方法および電子デバイス、関連するコンピュータプログラム、製造方法および設備 | 2023-12-28 |
4 | 特許7287060 | セラミックスボール | 2023-12-06 |
5 | 特許7288207 | 低分子化合物探索方法、プログラム、装置、およびシステム | 2023-12-06 |
6 | 特許7287416 | 厚鋼板の製造仕様決定支援装置および製造仕様探索方法、コンピュータプログラム、コンピュータ読み取り可能な記録媒体ならびに厚鋼板の製造方法 | 2023-12-06 |
7 | 特許7274529 | 薬剤識別システムおよび薬剤識別方法 | 2023-11-15 |
8 | 特許7267523 | 詳細図切出システム、詳細図切出方法及びプログラム | 2023-10-31 |
9 | 特許7260839 | プラント管理方法、プラント管理装置およびプラント管理プログラム | 2023-10-19 |
10 | 特許7250330 | 検査装置及び学習装置 | 2023-09-28 |
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 131 patents Protest from third parties. The average number of Protest is 1.2 times. The most recently Protest patent is 特開2022-115557 "鶏卵の品質を予測する方法" (Protest day 2024-03-26) , next is 特開2023-022363 "細胞保護用剤" (Protest day 2024-03-19) .
- | No. | Title | Protest days |
---|---|---|---|
1 | 特開2022-115557 | 鶏卵の品質を予測する方法 | 2024-03-26 |
2 | 特開2023-022363 | 細胞保護用剤 | 2024-03-19 |
3 | 特開2023-101875 | 鉄筋コンクリート用の鉄筋部材の加工方法、鉄筋部材加工システム、鉄筋コンクリート建物の施工方法、及び、建物設計サーバ | 2024-03-18 |
4 | 特開2023-026435 | 情報処理システム、情報処理装置、情報処理方法、及びプログラム | 2024-02-29 |
5 | 特開2022-117339 | 健康支援装置、健康支援システム、健康支援方法 | 2024-02-15 |
6 | 特開2021-189930 | BIMパーツ | 2024-02-09 |
7 | 特表2023-548020 | SMDタイプTCOデバイス | 2024-02-08 |
8 | 特開2021-135199 | 骨材の品質推定方法およびコンクリート製造方法 | 2024-02-07 |
9 | 特開2021-143499 | 軌道状態予測方法、プログラム、コンピュータ記憶媒体及び軌道状態予測システム | 2024-02-01 |
10 | 特開2023-017169 | フィルム検査装置、フィルム検査方法及びプログラム | 2024-01-31 |
11 | 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 |
12 | 特開2022-049590 | 情報処理装置、情報処理方法及び情報処理プログラム | 2024-01-26 |
13 | 特許7472078 | データ仮想化装置及び方法 | 2023-12-27 |
14 | 特開2021-177744 | 均平作業装置 | 2023-12-25 |
15 | 特開2021-189134 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2023-12-25 |
16 | 特開2021-189135 | 地震動評価モデル生成方法、地震動評価モデル生成装置、地震動評価方法、及び、地震動評価装置 | 2023-12-25 |
17 | 特開2022-048698 | 高炉の制御装置、高炉の操業方法、及びプログラム | 2023-12-25 |
18 | 特許7373840 | 検査装置 | 2023-12-14 |
19 | 特開2022-108233 | 鉄道模型用回路基板 | 2023-12-11 |
20 | 特開2022-099480 | 卵分類システム | 2023-11-27 |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 206 patents/patent applications were protest more than once in the examination process of other patent applications. The mean of the number of protest is 1.2. The most protest patent is 特許6587556 "情報処理装置及び情報処理方法" (5 times) , and the next most protest patent is 特許6662041 "インク組成物および画像又は三次元造形物形成方法" (5 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6587556 | 情報処理装置及び情報処理方法 | 5 times |
2 | 特許6662041 | インク組成物および画像又は三次元造形物形成方法 | 5 times |
3 | 特表2019-528113 | 機械学習モデルを使用した眼底画像の処理 | 5 times |
4 | 特許6351075 | 三次元的印刷方法 | 3 times |
5 | 特許7371535 | 自動運転制御装置、自動運転制御システム、自動運転制御方法、および廃棄物処理施設 | 3 times |
In the last 3 years (2021-04-01 ~ 2024-03-31), there were 376 patents Inspection from third parties. The average number of Inspection is 1.2 times. The most recently Inspection patent is 特許6907394 "ペットフードレコメンド装置および、ペットフードレコメンド方法、サプリメントレコメンド装置、サプリメントレコメンド方法ならびに腸年齢算出式決定方法および腸年齢算出方法" (Inspection day 2024-03-22) , next is 特表2023-548020 "SMDタイプTCOデバイス" (Inspection day 2024-03-22) .
- | No. | Title | Inspection days |
---|---|---|---|
1 | 特許6907394 | ペットフードレコメンド装置および、ペットフードレコメンド方法、サプリメントレコメンド装置、サプリメントレコメンド方法ならびに腸年齢算出式決定方法および腸年齢算出方法 | 2024-03-22 |
2 | 特表2023-548020 | SMDタイプTCOデバイス | 2024-03-22 |
3 | 特許6840887 | ペットフードレコメンド装置および、ペットフードレコメンド方法、サプリメントレコメンド装置、サプリメントレコメンド方法ならびに腸年齢算出式決定方法および腸年齢算出方法 | 2024-03-22 |
4 | 特許6889338 | ペットフードレコメンド装置および、ペットフードレコメンド方法、サプリメントレコメンド装置、サプリメントレコメンド方法ならびに腸年齢算出式決定方法および腸年齢算出方法 | 2024-03-22 |
5 | 特開2023-012913 | 計測装置、及び、計測方法 | 2024-03-18 |
6 | 特表2021-526473 | 運転者支援方法のためのトレーニング方法、運転者支援方法、制御機器、および制御機器を備えた車両 | 2024-03-12 |
7 | 特許7428337 | 情報処理方法、情報処理装置、及びプログラム | 2024-03-12 |
8 | 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 |
9 | 特開2024-019534 | アフィン動き予測に基づく映像コーディング方法及び装置 | 2024-03-07 |
10 | 特開2024-015036 | アフィン予測を用いてビデオ信号を処理する方法及び装置 | 2024-03-07 |
11 | 特開2023-026435 | 情報処理システム、情報処理装置、情報処理方法、及びプログラム | 2024-03-06 |
12 | 特開2023-017169 | フィルム検査装置、フィルム検査方法及びプログラム | 2024-02-22 |
13 | 特開2021-056137 | 皮膚の状態の推定装置 | 2024-02-21 |
14 | 特表2023-546942 | 処方デジタル療法を使用して健康状況を治療するための方法及びシステム | 2024-02-20 |
15 | 特開2021-189930 | BIMパーツ | 2024-02-20 |
16 | 特開2022-092297 | 設計支援装置、設計支援方法及び設計支援プログラム | 2024-02-15 |
17 | 特表2022-534811 | ビークル特性に基づく経路指定 | 2024-02-13 |
18 | 特開2023-055842 | 時間変動音量予測システム | 2024-02-08 |
19 | 特許6481787 | デバイス選択装置、データセット選択装置、デバイス選択方法及びプログラム | 2024-02-06 |
20 | 特許6975568 | 施工支援方法、および、施工支援システム | 2024-02-06 |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 665 patents/patent applications were inspection more than once in the examination process of other patent applications. The mean of the number of inspection is 1.2. The most inspection patent is 特許6444494 "予測データ分析のためのシステムおよび技術" (11 times) , and the next most inspection patent is 特許6662041 "インク組成物および画像又は三次元造形物形成方法" (9 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許6444494 | 予測データ分析のためのシステムおよび技術 | 11 times |
2 | 特許6662041 | インク組成物および画像又は三次元造形物形成方法 | 9 times |
3 | 特許7287060 | セラミックスボール | 8 times |
4 | 特許7371535 | 自動運転制御装置、自動運転制御システム、自動運転制御方法、および廃棄物処理施設 | 7 times |
5 | 特許7281768 | 情報処理装置、情報処理プログラム、および情報処理方法 | 6 times |
Of the patent applications filed in the last 10 years (2014-04-01 to 2024-03-31), 12,686 patents/patent applications were cited more than once in the examination process of other patent applications. The mean of the number of cited is 2.8. The most cited patent is 特許5956511 "自動アシスタントによるユーザ要求と結果の言い換え" (174 times) , and the next most cited patent is 特開2016-095383 "音声認識クライアント装置及びサーバ型音声認識装置" (95 times) .
- | No. | Title | |
---|---|---|---|
1 | 特許5956511 | 自動アシスタントによるユーザ要求と結果の言い換え | 174 times |
2 | 特開2016-095383 | 音声認識クライアント装置及びサーバ型音声認識装置 | 95 times |
3 | 特許6538060 | ボイスアシスタント機能をアクティブにするための検出しきい値を調整するための方法および装置 | 79 times |
4 | 特許6423402 | セキュリティ処理方法及びサーバ | 69 times |
5 | 特許6522488 | ワークの取り出し動作を学習する機械学習装置、ロボットシステムおよび機械学習方法 | 65 times |
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