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K-ruby LTスライド
1.
エッジデバイスとObject Detection 鹿児島大学大学院 理工学研究科 GANGAN(岩丸
慎平)
2.
Agenda About me エッジコンピューティング Object Detection まとめ 2
3.
About me 出身:福岡県 専攻:情報生体システム工学専攻 北九州高専(制御情報工学科) → 鹿児島大学(情報生体システム工学科) 趣味:ダンス,アニメ観賞,開発 3
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今までやってきたこと 研究:イルミネーションと内部状態に関する研究 LINEBOTを用いたダンスイベントの エントリーシステム企画、開発および運用(業界初)
Pythonを用いてイベントの裏方作業を 自動化および効率化 4
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エッジコンピューティングを ご存知ですか? 5
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エッジデバイスを ご存知ですか? 6
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IoTシステムの例 7 AWS Lambda Amazon S3 AWS
Cloud AWS IoT CoreIoT Devices
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8 AWS Lambda Amazon S3 AWS
Cloud AWS IoT CoreIoT Devices エッジデバイス
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9 AWS Lambda Amazon S3 AWS
Cloud AWS IoT CoreIoT Devices エッジデバイス
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AWS Cloud AWS Lambda Amazon
S3 AWS IoT CoreIoT Devices Amazon DynamoDB k-rubyなので Rubyで実装 作っていたシステム
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AWS Cloud AWS Lambda Amazon
S3 AWS IoT CoreIoT Devices Amazon DynamoDB k-rubyなので Rubyで実装 作って”いた”システム 出来たら よかったなあ
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AWS IoT Greengrass
AWSが展開するエッジコンピューティングサービス 12
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Object Detectionとは? 13
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Object Detectionとは? オブジェクト検出は、デジタル画像やビデオで特定のクラス(人間、建 物、車など)のセマンティックオブジェクトのインスタンスを検出する コンピュータービジョンと画像処理に関連するコンピューターテクノロ ジーです。よく知られているオブジェクト検出の領域には、顔検出と歩 行者検出が含まれます。物体検出は、画像検索やビデオ監視など、コン ピュータービジョンの多くの分野で応用されています(出典:Wikipedia) 14
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15出典:https://coral.withgoogle.com/
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16出典:https://gigazine.net/news/20180208-capsnet/
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モデル 17
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モデル 18
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Object Detectionに関するサービス GCP:Cloud
Auto ML(特にAuto ML Vision) AWS:AWS SageMaker Azure:Custom Vision Service 19出典:https://qiita.com/chimamedia/items/85259c5587171ad407a0
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Object Detectionに関するサービス GCP:Cloud
Auto ML(特にAuto ML Vision) AWS:AWS SageMaker Azure:Custom Vision Service 20出典:https://docs.microsoft.com/ja-jp/learn/modules/build-ml-model-with-azure-stream-analytics/2-design-a-solution
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Object Detectionに関するサービス GCP:Cloud
Auto ML(特にAuto ML Vision) AWS:AWS SageMaker Azure:Custom Vision 21出典:https://qiita.com/chimamedia/items/85259c5587171ad407a0
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デモを試してみます 22
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まとめ 24
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まとめ Object Detection、エッジコンピューティングに関する紹介および 簡単なデモ
それぞれの詳細は備忘録を参照ください。 インターンやLT発表、案件などもお待ちしてます。 25
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