JP6802274B2 - 作業者識別及びパフォーマンス追跡 - Google Patents
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Description
Claims (22)
- 倉庫内で作業者のパフォーマンスを識別し追跡するシステムであって、
前記倉庫内で前記作業者とやり取りするように構成された少なくとも一つのロボットを備え、前記少なくとも一つのロボットは、
第1の送受信機と、
近接検出器と、
メモリと、を含み、
前記第1の送受信機は、前記ロボットを囲む領域を定め、
前記近接検出器は、前記第1の送受信機に結合され、
前記近接検出器は、作業者の前記領域内への進入を検出するとともに、前記領域からの前記作業者の退出を検出するように構成され、
前記メモリは、前記領域に進入した及び前記領域から退出した前記作業者を識別する情報を含み、
前記少なくとも一つのロボットは、管理サーバへ局所的な作業者の活動を示す情報を与えるネットワーク・インタフェースを備え、前記管理サーバは、前記作業者の活動を示す情報に少なくとも部分的に基づいて作業者の効率を追跡するように構成され、
前記局所的な作業者の活動を示す情報は、前記ロボットが作業者に近接した目的地に到着した後に前記作業者が前記領域に進入するための時間量、前記作業者が前記領域に進入した後に前記作業者が前記領域から退出するのにかかる時間量のうち一つ又は複数に関しての情報を含む、
システム。 - 前記作業者を識別する情報を持っている各前記作業者に関連した第2の送受信機を更に備え、前記第2の送受信機は、前記作業者と共にある、請求項1に記載のシステム。
- 前記第2の送受信機は、RFID送受信機を含む、請求項2に記載のシステム。
- 前記少なくとも一つのロボットは、無接触識別システムを更に備え、前記無接触識別システムは、局所的な作業者に物理的に接触することなく前記局所的な作業者を識別する、請求項1に記載のシステム。
- 前記識別システムは、カメラと、前記カメラに結合された顔認識システムとを備え、前記顔認識システムは、前記局所的な作業者を識別する、請求項4に記載のシステム。
- 前記識別システムは、網膜スキャナと、前記網膜スキャナに結合された網膜認識システムを備え、前記網膜認識システムは、前記局所的な作業者を識別する、請求項4に記載のシステム。
- 前記少なくとも一つのロボットは、タブレットを更に備え、前記タブレットは、タブレット・プロセッサ、及び前記ネットワーク・インタフェースを備え、前記タブレットは、前記ネットワーク・インタフェースを使用して前記管理サーバへ情報を与える、請求項1に記載のシステム。
- 前記管理サーバは、前記局所的な作業者の活動を示す情報に少なくとも部分的に基づいているインセンティブを前記局所的な作業者に与えるように構成されている、請求項1に記載のシステム。
- 前記管理サーバは、前記情報に少なくとも部分的に基づいて倉庫統計を維持するように構成されている、請求項1に記載のシステム。
- 前記タブレットは、前記管理サーバへ作業者識別情報を与える、請求項7に記載のシステム。
- 前記作業者識別情報は、前記作業者が承認を受けた作業者であるか判定するために前記管理サーバによって使用される、請求項10に記載のシステム。
- 前記作業者識別情報は、前記タブレットとやり取りするための作業者の好みを設定するように前記管理サーバによって使用され、前記作業者の好みは、言語を含む、請求項10に記載のシステム。
- 請求項1に記載のシステムが倉庫内で作業者のパフォーマンスを識別し追跡する方法であって、
ロボットをある位置へ進ませるステップと、
前記位置で、前記ロボットの周りの領域を定めるステップと、
前記領域内への局所的な作業者の進入を検出するとともに、前記領域からの前記局所的な作業者の退出を検出するステップと、
前記局所的な作業者と物理的に接触することなく、前記局所的な作業者を識別するステップと、
管理サーバへ局所的な作業者の活動を示す情報を与えるステップと、
前記局所的な作業者の活動を示す情報に少なくとも部分的に基づいて局所的な作業者の効率を追跡するステップと、
を含み、
前記局所的な作業者の活動を示す情報は、前記ロボットが前記位置に到着した後に作業者が前記領域に進入するための時間量、前記作業者が前記領域に進入した後に前記作業者が前記領域から退出するのにかかる時間量のうち一つ又は複数に関しての情報を含む、
方法。 - 前記局所的な作業者を識別するステップは、前記局所的な作業者が持っている送受信機から、前記局所的な作業者を識別する情報を受信するステップを含む、請求項13に記載の方法。
- 前記局所的な作業者を識別するステップは、前記局所的な作業者が持っているRFIDタグから、前記局所的な作業者を識別する情報を受信するステップを含む、請求項13に記載の方法。
- 前記局所的な作業者を識別するステップは、前記局所的な作業者の顔を示すデータに基づいて識別を実行するステップを含む、請求項13に記載の方法。
- 前記局所的な作業者を識別するステップは、前記局所的な作業者の網膜を示すデータに基づいて識別を実行するステップを含む、請求項13に記載の方法。
- 前記局所的な作業者の活動を示す情報に少なくとも部分的に基づいてインセンティブを局所的な作業者に与えるステップを更に含む、請求項13に記載の方法。
- 前記局所的な作業者の活動を示す情報に少なくとも部分的に基づいて倉庫統計を維持するステップを更に含む、請求項13に記載の方法。
- 前記管理サーバへ作業者識別情報を与えるステップを更に含む、請求項13に記載の方法。
- 前記作業者識別情報は、前記作業者が承認を受けた作業者であるか判定するために使用される、請求項20に記載の方法。
- 前記作業者識別情報は、前記作業者とやり取りするための作業者の好みを設定するように使用され、前記作業者の好みは、言語を含む、請求項20に記載の方法。
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US14/815,110 | 2015-07-31 | ||
US14/815,110 US10198706B2 (en) | 2015-07-31 | 2015-07-31 | Operator identification and performance tracking |
PCT/US2016/044988 WO2017023843A1 (en) | 2015-07-31 | 2016-08-01 | Operator identification and performance tracking |
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JP2018528558A JP2018528558A (ja) | 2018-09-27 |
JP6802274B2 true JP6802274B2 (ja) | 2020-12-16 |
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US (2) | US10198706B2 (ja) |
EP (1) | EP3326124A1 (ja) |
JP (1) | JP6802274B2 (ja) |
KR (2) | KR102277603B1 (ja) |
CN (1) | CN107949855A (ja) |
BR (1) | BR112018001918A2 (ja) |
CA (2) | CA3086703C (ja) |
MX (1) | MX2018001283A (ja) |
WO (1) | WO2017023843A1 (ja) |
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NO345278B1 (en) * | 2019-03-29 | 2020-11-30 | Autostore Tech As | Method and computer program for controlling storage and retrieval of personal storage containers in an automated storage and retrieval system |
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