INFORMATION PROCESSING DEVICE, METER READING SYSTEM, METER READING METHOD, AND INFORMATION PROCESSING PROGRAM
To read a meter without requiring settings necessary for reading the meter on a terminal device side and selection of a learned model according to the type of the meter.SOLUTION: An information processing device 10 manages, for each meter type, multiple learnt models that are created by machine-lear...
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| creator | MATSUZUKA MASAKI ONOZUKA MASANAO NISHIO MIKA |
| description | To read a meter without requiring settings necessary for reading the meter on a terminal device side and selection of a learned model according to the type of the meter.SOLUTION: An information processing device 10 manages, for each meter type, multiple learnt models that are created by machine-learning a group of meter images obtained by photographing multiple types of meters while associating them with measured values indicated by the meters and output meter estimates with the meter images as input. The information processing device 10 includes an acquisition unit 11A configured to acquire a meter image obtained by photographing a meter to be read from a terminal device, an identification unit 11B configured to identify a meter type from the meter image acquired by the acquisition unit 11A, a selection unit 11C configured to select a learnt model corresponding to the meter from among multiple learnt models related to the type identified by the identification unit 11B, and a provision unit 11D configured to provide the terminal device with the learnt model selected by the selection unit 11C.SELECTED DRAWING: Figure 5
【課題】端末装置側でメータの読み取りに必要な設定、及びメータの種類に応じた学習済みモデルの選択を要することなく、メータの読み取りを行う。【解決手段】情報処理装置１０は、複数種類のメータを撮影して得られたメータ画像群を、メータが示す測定値に対応付けて機械学習することにより生成され、かつ、メータ画像を入力として、メータの推定値を出力する複数の学習済みモデルをメータの種類毎に管理する。情報処理装置１０は、端末装置から、読取対象とするメータを撮影して得られたメータ画像を取得する取得部１１Ａと、取得部１１Ａにより取得されたメータ画像からメータの種類を特定する特定部１１Ｂと、特定部１１Ｂにより特定された種類に関連する複数の学習済みモデルの中から、メータに対応する学習済みモデルを選択する選択部１１Ｃと、選択部１１Ｃにより選択された学習済みモデルを端末装置に提供する提供部１１Ｄと、を備える。【選択図】図５ |
| format | Patent |
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【課題】端末装置側でメータの読み取りに必要な設定、及びメータの種類に応じた学習済みモデルの選択を要することなく、メータの読み取りを行う。【解決手段】情報処理装置１０は、複数種類のメータを撮影して得られたメータ画像群を、メータが示す測定値に対応付けて機械学習することにより生成され、かつ、メータ画像を入力として、メータの推定値を出力する複数の学習済みモデルをメータの種類毎に管理する。情報処理装置１０は、端末装置から、読取対象とするメータを撮影して得られたメータ画像を取得する取得部１１Ａと、取得部１１Ａにより取得されたメータ画像からメータの種類を特定する特定部１１Ｂと、特定部１１Ｂにより特定された種類に関連する複数の学習済みモデルの中から、メータに対応する学習済みモデルを選択する選択部１１Ｃと、選択部１１Ｃにより選択された学習済みモデルを端末装置に提供する提供部１１Ｄと、を備える。【選択図】図５</description><language>eng ; jpn</language><subject>CALCULATING ; COMPUTING ; COUNTING ; IMAGE DATA PROCESSING OR GENERATION, IN GENERAL ; PHYSICS ; SIGNALLING ; TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILARSIGNALS</subject><creationdate>2023</creationdate><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230403&DB=EPODOC&CC=JP&NR=2023045976A$$EHTML$$P50$$Gepo$$Hfree_for_read</linktohtml><link.rule.ids>230,308,780,885,25564,76547</link.rule.ids><linktorsrc>$$Uhttps://worldwide.espacenet.com/publicationDetails/biblio?FT=D&date=20230403&DB=EPODOC&CC=JP&NR=2023045976A$$EView_record_in_European_Patent_Office$$FView_record_in_$$GEuropean_Patent_Office$$Hfree_for_read</linktorsrc></links><search><creatorcontrib>MATSUZUKA MASAKI</creatorcontrib><creatorcontrib>ONOZUKA MASANAO</creatorcontrib><creatorcontrib>NISHIO MIKA</creatorcontrib><title>INFORMATION PROCESSING DEVICE, METER READING SYSTEM, METER READING METHOD, AND INFORMATION PROCESSING PROGRAM</title><description>To read a meter without requiring settings necessary for reading the meter on a terminal device side and selection of a learned model according to the type of the meter.SOLUTION: An information processing device 10 manages, for each meter type, multiple learnt models that are created by machine-learning a group of meter images obtained by photographing multiple types of meters while associating them with measured values indicated by the meters and output meter estimates with the meter images as input. The information processing device 10 includes an acquisition unit 11A configured to acquire a meter image obtained by photographing a meter to be read from a terminal device, an identification unit 11B configured to identify a meter type from the meter image acquired by the acquisition unit 11A, a selection unit 11C configured to select a learnt model corresponding to the meter from among multiple learnt models related to the type identified by the identification unit 11B, and a provision unit 11D configured to provide the terminal device with the learnt model selected by the selection unit 11C.SELECTED DRAWING: Figure 5
【課題】端末装置側でメータの読み取りに必要な設定、及びメータの種類に応じた学習済みモデルの選択を要することなく、メータの読み取りを行う。【解決手段】情報処理装置１０は、複数種類のメータを撮影して得られたメータ画像群を、メータが示す測定値に対応付けて機械学習することにより生成され、かつ、メータ画像を入力として、メータの推定値を出力する複数の学習済みモデルをメータの種類毎に管理する。情報処理装置１０は、端末装置から、読取対象とするメータを撮影して得られたメータ画像を取得する取得部１１Ａと、取得部１１Ａにより取得されたメータ画像からメータの種類を特定する特定部１１Ｂと、特定部１１Ｂにより特定された種類に関連する複数の学習済みモデルの中から、メータに対応する学習済みモデルを選択する選択部１１Ｃと、選択部１１Ｃにより選択された学習済みモデルを端末装置に提供する提供部１１Ｄと、を備える。【選択図】図５</description><subject>CALCULATING</subject><subject>COMPUTING</subject><subject>COUNTING</subject><subject>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</subject><subject>PHYSICS</subject><subject>SIGNALLING</subject><subject>TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILARSIGNALS</subject><fulltext>true</fulltext><rsrctype>patent</rsrctype><creationdate>2023</creationdate><recordtype>patent</recordtype><sourceid>EVB</sourceid><recordid>eNrjZMj19HPzD_J1DPH091MICPJ3dg0O9vRzV3BxDfN0dtVR8HUNcQ1SCHJ1dAGJBkcGh7j6oosCeR7-LjoKjn4uCjiMAzLdgxx9eRhY0xJzilN5oTQ3g5Kba4izh25qQX58anFBYnJqXmpJvFeAkYGRsYGJqaW5maMxUYoAqUQ3jQ</recordid><startdate>20230403</startdate><enddate>20230403</enddate><creator>MATSUZUKA MASAKI</creator><creator>ONOZUKA MASANAO</creator><creator>NISHIO MIKA</creator><scope>EVB</scope></search><sort><creationdate>20230403</creationdate><title>INFORMATION PROCESSING DEVICE, METER READING SYSTEM, METER READING METHOD, AND INFORMATION PROCESSING PROGRAM</title><author>MATSUZUKA MASAKI ; ONOZUKA MASANAO ; NISHIO MIKA</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-epo_espacenet_JP2023045976A3</frbrgroupid><rsrctype>patents</rsrctype><prefilter>patents</prefilter><language>eng ; jpn</language><creationdate>2023</creationdate><topic>CALCULATING</topic><topic>COMPUTING</topic><topic>COUNTING</topic><topic>IMAGE DATA PROCESSING OR GENERATION, IN GENERAL</topic><topic>PHYSICS</topic><topic>SIGNALLING</topic><topic>TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILARSIGNALS</topic><toplevel>online_resources</toplevel><creatorcontrib>MATSUZUKA MASAKI</creatorcontrib><creatorcontrib>ONOZUKA MASANAO</creatorcontrib><creatorcontrib>NISHIO MIKA</creatorcontrib><collection>esp@cenet</collection></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>MATSUZUKA MASAKI</au><au>ONOZUKA MASANAO</au><au>NISHIO MIKA</au><format>patent</format><genre>patent</genre><ristype>GEN</ristype><title>INFORMATION PROCESSING DEVICE, METER READING SYSTEM, METER READING METHOD, AND INFORMATION PROCESSING PROGRAM</title><date>2023-04-03</date><risdate>2023</risdate><abstract>To read a meter without requiring settings necessary for reading the meter on a terminal device side and selection of a learned model according to the type of the meter.SOLUTION: An information processing device 10 manages, for each meter type, multiple learnt models that are created by machine-learning a group of meter images obtained by photographing multiple types of meters while associating them with measured values indicated by the meters and output meter estimates with the meter images as input. The information processing device 10 includes an acquisition unit 11A configured to acquire a meter image obtained by photographing a meter to be read from a terminal device, an identification unit 11B configured to identify a meter type from the meter image acquired by the acquisition unit 11A, a selection unit 11C configured to select a learnt model corresponding to the meter from among multiple learnt models related to the type identified by the identification unit 11B, and a provision unit 11D configured to provide the terminal device with the learnt model selected by the selection unit 11C.SELECTED DRAWING: Figure 5
【課題】端末装置側でメータの読み取りに必要な設定、及びメータの種類に応じた学習済みモデルの選択を要することなく、メータの読み取りを行う。【解決手段】情報処理装置１０は、複数種類のメータを撮影して得られたメータ画像群を、メータが示す測定値に対応付けて機械学習することにより生成され、かつ、メータ画像を入力として、メータの推定値を出力する複数の学習済みモデルをメータの種類毎に管理する。情報処理装置１０は、端末装置から、読取対象とするメータを撮影して得られたメータ画像を取得する取得部１１Ａと、取得部１１Ａにより取得されたメータ画像からメータの種類を特定する特定部１１Ｂと、特定部１１Ｂにより特定された種類に関連する複数の学習済みモデルの中から、メータに対応する学習済みモデルを選択する選択部１１Ｃと、選択部１１Ｃにより選択された学習済みモデルを端末装置に提供する提供部１１Ｄと、を備える。【選択図】図５</abstract><oa>free_for_read</oa></addata></record> |
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| subjects | CALCULATING COMPUTING COUNTING IMAGE DATA PROCESSING OR GENERATION, IN GENERAL PHYSICS SIGNALLING TRANSMISSION SYSTEMS FOR MEASURED VALUES, CONTROL OR SIMILARSIGNALS |
| title | INFORMATION PROCESSING DEVICE, METER READING SYSTEM, METER READING METHOD, AND INFORMATION PROCESSING PROGRAM |
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