JP2004348618A - Customer information collection and management method and system therefor - Google Patents

Customer information collection and management method and system therefor Download PDF

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Publication number
JP2004348618A
JP2004348618A JP2003147217A JP2003147217A JP2004348618A JP 2004348618 A JP2004348618 A JP 2004348618A JP 2003147217 A JP2003147217 A JP 2003147217A JP 2003147217 A JP2003147217 A JP 2003147217A JP 2004348618 A JP2004348618 A JP 2004348618A
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Japan
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customer
information
store
product
camera
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JP2003147217A
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JP4125634B2 (en
Inventor
Kazuya Ueki
一也 植木
Nobuhiro Sekine
信博 関根
Kenichi Kaneko
賢一 金子
Tetsunori Kobayashi
哲則 小林
Jiro Katto
二郎 甲藤
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Waseda University
NEC Solution Innovators Ltd
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Waseda University
NEC Solution Innovators Ltd
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  • Collating Specific Patterns (AREA)
  • Image Processing (AREA)
  • Closed-Circuit Television Systems (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)
  • Image Analysis (AREA)

Abstract

<P>PROBLEM TO BE SOLVED: To more accurately judge customer's personal features as personal information and to provide an instantaneous sales promotion service corresponding to a customer segment based on the personal information. <P>SOLUTION: An image processing part 51 extracts and specifies the sex of a customer himself or herself, an age group, features such as avocation, staying places and time, noticed commodities in which the customer may be interested judging from the turned direction of the face, and a customer's walking course from a plurality of pictures of each buying customer which are continuously photographed by a plurality of cameras 11-18 and registers the extracted data in a visiting customer list 52. A customer management part 53 extracts feature data from the visiting customer list 52, extracts voice guide information/electronic bulletin information corresponding to the feature data and previously stored from a notice information DB 70, outputs announcement/electronic bulletins from an output part 40, and records the data of leaving customers in a customer DB 60. The walking courses of customers recorded in the customer DB 60 can be effectively utilized for the improvement of commodity display. <P>COPYRIGHT: (C)2005,JPO&NCIPI

Description

【0001】
【発明の属する技術分野】
本発明は、カメラで顧客の画像情報を取得してマーケティングに活用する顧客情報収集管理方法及びそのシステムに関し、特に、顧客の人物特徴が個人情報としてより正確に判断できると共にその個人情報に基づく顧客層に対応した販売促進サービスを時期を失することなく提供することができる顧客情報収集管理方法及びそのシステムに関する。
【0002】
【従来の技術】
従来、この種の顧客情報収集管理システムでは、入力作業を軽減させると共に顧客の属性についての判断のばらつきを防止することで、正確なデータベースを作成できることを目的として、システムが、出入り口それぞれのカメラで撮影された顧客の画像に基づいて、画像処理により顧客の属性を自動判別している(例えば、特許文献1参照)。
【0003】
図7を参照して、この顧客情報収集管理システムを説明する。
【0004】
各店舗内情報分析システム100では、レジスタでの購買顧客を撮像するレジカメラ102の画像情報から制御部108がこの顧客の属性として性別、年齢層などを判別する。次いで、この顧客により購入された商品のデータを店員がレジスタに例えばバーコードを利用して正確に入力する。その結果、商品データと顧客の属性とが対応付けられて記録される。
【0005】
すなわち、顧客の属性は商品購入顧客の画像情報に基づいて判別されるので、店員による入力作業が軽減されるのみならず、画像情報からの均一な基準から判断のばらつきも防止される。また、各店舗でのこれらデータは店舗内情報分析システム100から送付されて情報分析センター110に集中保存され、マーケティングに活用される。
【0006】
また、端末装置で、顧客のデータを取得しかつ分析して顧客の種別を判定し、この判定結果に基づいて商品の案内データを特定して、顧客に提供する顧客データ処理システムがある(例えば、特許文献2参照)。
【0007】
この端末装置は、カメラ及びセンサを備え、顧客が前面に立った際に、カメラ及びセンサにより顧客情報を自動的に取得し、取得した情報から顧客種別を判別してその客層に見合う案内データをその顧客に提供する。案内データは、客層データに対応してサーバ装置に集中して保持され、複数の端末装置に提供される。ここでは、顧客の滞留時間も計測されている。
【0008】
【特許文献1】
特開2002−32553号公報(図1)
【0009】
【特許文献2】
特開平11−328266号公報(図1、図2)
【0010】
【発明が解決しようとする課題】
しかしながら、上述した従来の顧客情報収集管理方法及びそのシステムでは、次のような問題点がある。
【0011】
第一の問題は、年齢、性別、服装といった顧客の属性を判断する正確性に欠ける点である。
【0012】
その理由は、顧客の属性情報を取得するための撮影データは複数フレーム連続して撮影せず、単一フレームによってしか判断していないためである。上記特許文献1ではレジスタで商品を購入する際のみの画像情報、また上記特許文献2では端末装置に対面する際のカメラの画像情報、それぞれから顧客を正面からの画像のみで判断するので、判別に対するデータ量が少なく、年齢、性別、服装といった人物の属性を正確に判断するには危険性がある。
【0013】
第二の問題は、来店中の顧客の個人情報に基づく商品販売促進に際して店舗ごとの柔軟な対応が困難な点である。
【0014】
その理由は、上記特許文献1、2では複数店舗で集中して情報分析センター又はサーバ装置が顧客データ及び販売促進商品データを管理しており、各店舗ごとの変化に迅速な対応が困難なためである。
【0015】
第三の問題は、店舗内の商品陳列改善に、来店した顧客の購買情報を反映することが困難な点である。
【0016】
その理由は、上記特許文献1では顧客情報と対応するものは購入商品データであり、購入商品以外のデータがないからである。上記特許文献2では、このための情報収集には、商品ごとに端末装置を備えることを提案しているからである。
【0017】
本発明の課題は、このような問題点を解決し、商品の各提供場所において、より正確な個人情報を画像情報から取得し、各提供場所での状況の変化に迅速に時期を失することなく対応する商品データを提供し、かつ商品陳列位置改善のための情報を収集することができる顧客情報収集管理方法及びそのシステムを提供することである。
【0018】
【課題を解決するための手段】
本発明による顧客情報収集管理方法は、カメラで顧客の画像情報を取得してマーケティングに活用するものであって、対象とするすべての顧客の画像を前記カメラで定期的に取得し、連続して取得した複数フレームの画像から顧客の人物属性を判定して個人を判別し、更に、判別した個人毎にカメラ位置、顔向き、及び滞在時間から興味を有する注目商品群を判断してマーケティングに活用することである。
【0019】
このために、例えば店舗内では、すべての通路にいる顧客の人物画像を人物位置及び顔向きの判定可能に定期的に連続取得するカメラと、このカメラの連続取得画像から顧客の人物属性を判定して個人情報を総合判断する画像処理部と、この画像処理部の総合判断による個人情報を記録する来店中顧客リストと、この来店中顧客リストに記録された情報に基づいてマーケティングに活用する顧客管理部とが備えられている。
【0020】
この構成により、一人の顧客に対して複数の連続する画像情報が取得できるので、顧客の属性としての個人情報がより正確に収集できる。又、カメラ位置と画像情報から分析された顔向きとから注目商品または商品群の特定、更に滞在時間と注目継続時間を分析することが可能である。
【0021】
また、顧客の人物属性と注目商品群とを取得した際に、この注目商品群に対応する予め用意された商品の販売促進情報を可聴/可視で店内に直ちに告知している。
【0022】
すなわち、商品陳列場所にはスピーカ、電子掲示板、及び/又は情報端末のような可聴/可視による告示機器と、販売促進商品を含む案内告示を告示条件と共に前記告示機器に対応して予め格納する告示情報データベースとを更に設けている。この画像処理部は、同一個人情報に基づいて連続する人物画像の人物位置及び顔向き並びに滞留時間からその注目商品を選定し、これら情報を前記来店中顧客リストに前記個人情報に対応して記録する。また、顧客管理部は、前記来店中顧客リストに記録された情報が前記告示条件と一致した際に、その告示条件に対応する前記案内告示を告示情報データベースから取得して前記告示機器に対応する可聴/可視の情報を提供する。
【0023】
この告示情報は同一店舗内のデータベースから提供できるので、提供条件及び提供商品の案内を適宜作成して迅速に時期を失することなく提供することができる。
【0024】
また、連続して取得した画像から、顧客の注目商品群及びその注目時間、並びに移動経路を判定することにより、店舗内の商品陳列位置改善などのマーケティング向上に活用することことができる。
【0025】
すなわち、来店中の顧客の購買商品を登録するレジスタと今までの来店客の情報を記録する顧客データベースとが備えられている。この画像処理部は、レジスタで購買商品が登録された際には購買顧客のカメラ画像と照合して前記来店中顧客リストに登録し、出口カメラ画像が顧客を捕捉した際にはその退店を前記来店中顧客リストに記録する。また、顧客管理部は、前記来店中顧客リストで退店の記録された顧客対応情報のうちの所定情報を前記顧客データベースに追加記録している。
【0026】
【発明の実施の形態】
次に、本発明の実施の形態について図面を参照して説明する。
【0027】
図1は本発明における店舗内カメラの配置及び人物の顔向きに係る実施の一形態を示す平面図である。図7に示される従来例との相違は店舗内の通路上にいる顧客31〜35の撮像画面を取得する複数のカメラ11〜18を設けている点である。
【0028】
図1に示された平面図では、入り口カメラ11、レジカメラ12、出口カメラ14、及び店内カメラ15〜18が、例えば、天井に設けられ、それぞれのカメラが定期的に連続で撮影している。店舗は、例えば、所謂コンビニエンスストアである。店舗内には、レジスタとなるPOS(販売時点情報管理)端末20が備えられ、来店中の顧客31〜36がおり、スピーカ41、電子掲示板42及び情報端末43が商品陳列棚以外に設けられている。
【0029】
入り口カメラ11は店内から出入り口に向いており入店する顧客の正面を撮影する。レジカメラ12はレジスタとなるPOS端末20の設置場所で購買商品を提示する顧客のほぼ正面を撮影する。出口カメラ14は出入り口側から店舗内に向いており退店する顧客のほぼ正面を撮影する。
【0030】
店内カメラ15〜18は通路上の顧客を撮影する。図1での店内カメラ15は本棚と日用品の陳列棚との間の顧客を対象とする。店内カメラ16は食料品と菓子類との陳列棚間の顧客を対象とする。店内カメラ17はパン類、弁当類、及びデザート類、並びに情報機器43に面する顧客を対象にする。店内カメラ18は飲み物類及び電子掲示板前の顧客を対象にする。
【0031】
図1においては、顧客31が本棚に顔を向けている。顧客32は電子掲示板42に向かっているが、例えば、顔向きが電子掲示板42方向で固定されている場合、電子掲示板42が注目されていると判断できる。顧客33、34は食料品及び弁当類それぞれを注目している。顧客35は情報端末43にアクセスし、顧客36はレジスタで購買商品の精算をしている。
【0032】
次に、図2に図1を併せ参照して、本発明による顧客情報収集管理システムについて説明する。
【0033】
この顧客情報収集管理システムは、店舗内に、入力部10、POS端末20、出力部40、制御部50、顧客DB(データベース)60、及び告示情報DB70を備えている。顧客DB60は複数店舗で共通又は集中管理してもよい。
【0034】
情報の入力部10には、入り口カメラ11、レジカメラ12、出口カメラ14、及び店内カメラ15〜18が含まれる。図示されるPOS端末20には、キーボード21、画面表示器22、及び購買商品情報取得部23が含まれる。情報の出力部40には、スピーカ41、電子掲示板42、及び情報端末43が図示されている。制御部50は、画像処理部51、来店中顧客リスト52、及び顧客管理部53を含んでいる。また、告示情報DB70は音声案内商品情報71及び電子刑事商品情報72を有している。
【0035】
カメラ11〜18についてはすでに図1を参照して説明したが、例えば1秒間に数フレームずつ連続して撮影した画像情報は制御部50の画像処理部51に順次送られる。POS端末20では、情報入力には、キーボード21以外に、例えば図示されていないバーコードリーダなどがある。情報出力には、各種情報を画面表示する画面表示器22以外に例えば図示されていないレシート出力がある。従って、顧客の購買商品情報を記録保持する購買商品情報取得部23が備えられている。
【0036】
スピーカ41は音声案内商品情報71に格納されている商品情報などを顧客管理部53の制御により受けて店舗内へ放送する。電子掲示板42は電子掲示商品情報72に格納されている商品情報などを顧客管理部53の制御により受けて画面表示する。図示される電子掲示板42は出入り口方向に面しているが、複数を設けて、掲示される情報によっては、店舗外部に向いていてもよい。情報端末43は、顧客の操作を受け、告示情報DB70に格納された商品に限らず、これ以外の情報も可視/可聴で顧客に提供できる。
【0037】
画像処理部51は、入力部10から得られた複数フレームの画像情報を一フレームごとに画像処理し、顧客追跡のため、性別、年齢、服装といった人物特徴の抽出を行う。画像処理により、人物の特定とカメラ位置、顔向き、及び滞在時間から得られる注目商品情報の特定とが可能であり、更に、時間の経過と対応付けて店舗内での、一人の顧客の移動経路を追跡できる。従って、抽出して顧客ID(識別子)を付与された個人情報は来店中顧客リスト52に送られて顧客別にIDにより整理される。また、画像情報から顧客が退店したと判断した際には顧客の退店を来店中顧客リスト52に送る。
【0038】
顧客管理部53は、来店中顧客リスト52に記録される顧客情報を繰り返し走査しており、予め設定された条件に一致した際に、告示情報DB70に格納される音声案内商品情報71及び/又は電子掲示商品情報72から適切な告示情報を取り出して出力部40へ送出している。顧客が退店した際には該当する顧客のデータを顧客DB60と照合し、新規顧客情報を顧客DB60に転送して追加する一方、同一情報は破棄される。また、特に、顧客DB60における情報の変化が著しい場合には、これを検知して販売促進に反映させることができる。
【0039】
顧客DB60は、顧客それぞれの人物としての特徴に加えて、顧客層に対して購買商品、移動経路、滞在時間などの興味対象商品情報も記録される。したがって、顧客DB60は、今後の、性別、年齢層、職業などに対応する販売促進商品の選定、店舗内の商品陳列の改善などに役立つ。
【0040】
告示情報DB70は、それまでの情報に基づいて販売促進のために作成された顧客層に対応したおすすめ商品の情報を、音声情報は音声案内商品情報71、また映像情報は電子掲示商品情報72、それぞれに、販売促進対象の顧客層条件、例えば、性別、年齢層、職業などと共に予め格納しておく。この情報は、顧客DB60に格納される情報に基づいて定期的に改版される。
【0041】
次に、図3及び図4を併せ参照して画像処理部51の機能について詳細に説明する。
【0042】
画像処理部51は、図示される例では、カメラ対応の画像受付511、512、・・及びID編集510それぞれの機能を有している。例えば、画像受付511は、入り口カメラ11で撮影された画像データを順次受付け、これら画像データに、このカメラ番号及び時刻を付加してID編集510へ送出する。
【0043】
ID編集510は、受けた複数フレームの画像を一フレームごとに画像処理して、性別、年齢、服装といった人物の特徴を人物情報として抽出する。具体的には、各画像フレームごとに90パーセントの確率で男性、30パーセントの確率で30歳代であるなどの判定確率を算定し、この判定確率の高さから人物特徴を判定する。一方、人物画像それぞれにおいては、同時に、カメラ位置と顔向きとから注目場所が判定できるので、興味を持った又は購買対象の商品群若しくは商品が特定される。
【0044】
次いで、時系列で同類画像情報を集めて、図4に示されるように、一人の顧客に対して複数画像フレーム81〜86の情報を総合的に判断することにより、より正確な特徴抽出を実現し、個人情報の総合判断がなされ、顧客IDが付与される。このように、人物の特徴は、複数カメラの追跡により多数の画像フレームの判定結果から、より信頼性の高い判定結果を採択するという方法がとられる。
【0045】
上記総合判断で具体的には、判定確率がある閾値以上である画像フレームのみを採択するということを行う。例えば、判定確率の閾値を80パーセントとした場合では、男性:93パーセントの画像フレーム81と男性:81パーセントの画像フレーム85との二つの画像フレームが採択され、そこから男性と判定している。このようにあいまいな判定を排除する方法により、正確な人物特徴の抽出ができる。
【0046】
これにより信頼性の高い多数の判定結果に少数の信頼性の低い判定結果が紛れ込んでいる場合でも、信頼性の低い判定結果を除去することで、より正確な人物特徴抽出が可能になる。また、信頼性の低い大多数の判定結果に少数の信頼性の高い判定結果がある場合でも、同様に少数の信頼性の高い判定結果を採択することができ、やはり正確な人物特徴の抽出が可能である。
【0047】
画像処理部51で得られた顧客の追跡情報や特徴情報は来店中顧客リスト52に送付され追加記録される。すなわち、例えば、IDごとに、顧客の特徴を示す個人情報、入店時刻、滞在場所と滞在時間などが記録され、出口からの退店を検出した際に退店時刻を記録できる。上述したように、退店時刻の記録された顧客情報は来店中顧客リスト52から顧客管理部53により取り出される。
【0048】
次に、図5を参照して来店中顧客リスト52について詳細を説明する。
【0049】
図5(A)に示される来店中顧客リスト52Aの内容には、顧客を識別するID、性別、年齢、服装、顔向き方向から得られたステータス、滞在時間といった属性が含まれており、この情報は画像処理部51によりリアルタイムで更新される。更に、図5(B)では、滞在時間の存在する場所を順次記録した足取りが移動コースのデータとして取得されている。
【0050】
次に、図6に図1から図5までを併せ参照して、制御部50の動作手順について説明する。図6は顧客管理部53の主要動作を中心とする手順の実施の一形態を示すフローチャートである。
【0051】
制御部50では、画像処理部51が、入り口カメラ11から受ける撮像データから、顧客の来店あり(手順S1のYES)を知ると共にこの顧客の人物データを取得(手順S2)してID符号を付与し、来店中顧客リスト52に記録する。この来店中の顧客は店内のカメラ11〜18のいずれかにより撮影され、かつその画像は処理されてその処理結果が来店中顧客リスト52に順次記録される。
【0052】
顧客管理部53は、来店中顧客リスト52を繰り返し走査して、取得データの特徴を調査(手順S3)している。特徴としては個人のみならず、例えば、昼食の時間帯でスーツ着用の多くの男性顧客がお弁当と飲み物を購入している、又は多数の若い女性顧客が来店中であるなどの一般的条件もある。
【0053】
手順S3が「YES」で来店中顧客リスト52からの取得データに特徴がある場合、顧客管理部53は、告示情報DB70の登録情報と比較して、例えば、昼食時の男性顧客に対して推薦する本日の商品、又は多数の若い女性顧客には推薦する化粧品など、対応するPR(広告、宣伝)商品の有無を確認(手順S4)する。
【0054】
手順S4が「YES」で対応PR商品がある場合、顧客管理部53は、告示情報DB70から対応するデータを取り出して出力部40に渡し、そのPR商品をアナウンスによる音声、又は/及び電子掲示による画像で告示(手順S5)している。例えば、音声案内商品情報71の場合にはスピーカ41からアナウンスによる音声案内が流される。また、電子掲示商品情報72の場合には電子掲示板42への画面表示で来店中顧客に告示がなされる。
【0055】
更に例えば、深夜に雑誌のコーナーで立ち読みしている10歳代後半から20歳代前半の若い学生顧客が多い場合には特定のPR夜食をお勧めするなど、個人に特化したサービス、又は全体の客層向けのサービスを自動かつリアルタイムで行うことができるので、顧客の購買意欲を高めることが可能となる。
【0056】
一方、画像処理部51が出口カメラ14から受けた撮像データから退店の顧客を識別(手順S6のYES)した際には、来店中顧客リスト52の該当個所に退店が、例えば時刻により記録される。顧客管理部53は、来店中顧客リスト52で退店の記録を有する顧客の人物特徴データを顧客DB60に保存されるものと比較する。顧客管理部53は、退店顧客が新規顧客(手順S7のYES)であると判断される場合、新たにID番号を付与してその顧客の個人データを顧客DB60に登録(手順S8)すると共に興味を有する商品、その場所の滞在時間などの所定データを顧客データとして追加登録して来店中顧客リスト52から該当データを削除(手順S9)する。
【0057】
上記手順S7が「NO」ですでに個人の顧客登録済みの場合、顧客管理部53は、上記手順S8を飛ばして上記手順S9に進み、来店回数、購買商品情報、従来と異なる興味対象商品など、所定の顧客データを対応個所に追加登録して来店中顧客リスト52から該当データを削除する。
【0058】
次いで、顧客管理部53は店内顧客の存在を来店中顧客リスト52で確認(手順S10)する。来店中顧客リスト52に顧客の記録がないため、この手順S10が「NO」の場合、手順は終了する。
【0059】
手順S10が「YES」で店舗内に来店中顧客がまだいる場合には、上記手順S3が「NO」で来店中顧客リスト52に特徴ある取得データがない場合、又は上記手順S4が「NO」で対応するPR商品がない場合も同様に、上記手順S2に戻り、来店中顧客の顧客データが収集される動作から上述された手順が継続して繰り返される。
【0060】
上記説明では、来店中顧客データのIDと顧客DBのIDとは独立して付与されているが、画像処理部が、来店した顧客にID付与する際に個人特徴データの一致するIDを顧客DBから取り出して付与することとしてもよい。
【0061】
上記説明では、複数カメラを利用して店舗内すべての顧客の撮像データを得るとしたが、全方位カメラを店舗内で中央の天井に設置し、1つのカメラで店舗内全体を追跡するという方法でもよい。
【0062】
また、上記図4を参照した複数画像フレームの処理に関して、ある閾値以上のもののみ採択するとしたが、全ての画像フレーム81〜85の平均を取る方法も考えられる。具体的には、男性である確率を72(=(93+67+45+74+81+74)/6)パーセント、また女性である確率を28(=(7+33+55+26+19+26)/6)パーセントと計算して男性と判定する方法である。この方法は、その顧客が撮影されているすべての情報を取り込むことができるため、一枚のみの画像から得る判定よりも信頼性が高くなる。更に、画像処理技術において表情が認識できるようであれば、商品への関心度の情報に加えることができる。
【0063】
また、顧客データの取得に画像処理技術を使用して説明したが、音声を組み合わせて認識の性能を更に向上させることも可能である。この場合、例えば、店舗内にマイクを設置し、発声から男女を分析し、又は会話内容から音声認識技術を用いて商品の評判を分析するという方法を付け加えるともできる。
【0064】
上記説明では店舗を対象としたが、自動販売機又はATM(自動現金出し入れ装置)で利用者の追跡、及び特徴抽出を行い、利用者へ特定サービスを実行すること、又は、未成年者の利用を制限するような使い方もできる。
【0065】
このように、図示された機能ブロックおよび手順を参照して店舗内での顧客情報管理を説明したが、機能の分離併合による配分または手順の前後入替えなどの変更は上記機能を満たす限り自由であり、対象も商品陳列棚に限定されるものではない。すなわち、上記説明が本発明を限定するものではないのみならず、本機能はカメラによる撮影可能な設備を利用した顧客の情報管理全般に適用可能なものである。
【0066】
【発明の効果】
以上説明したように本発明によれば、次のような効果が期待できる。
【0067】
第一の効果は効率の高いマーケティングの自動化が可能なことである。
【0068】
その理由は、店舗内の複数個所のカメラが連続撮影することにより同一人物が多数のかつ多方面からの撮像画面で画像処理されているからである。すなわち、この画像処理から得られる個人の特徴はより信頼性が高く、より正確に他人と識別できるのみならず、店舗内での滞在場所及び滞在時間から興味を有する商品も解析できるからである。
【0069】
第二の効果は来店中の顧客に対して購買意欲を昂騰させることが可能なことである。
【0070】
その理由は、上述するように、画像処理から得られる顧客の特徴はより信頼性が高く、店舗内での滞在場所及び滞在時間から興味を有する商品も解析してデータベースに記録保存できるからである。したがって、保存データの特徴に対応して推薦商品の宣伝、広告を予め用意できるので、来店中の顧客の分析データとデータベースの記録データに基づいてその場でその顧客個人又は店舗内全員に取得データに対応した特有サービスを提供できるからである。
【0071】
第三の効果は店舗内の商品陳列配置の改善に有効なことである。
【0072】
その理由は、上述するように、顧客の店舗内の行動がより詳細に分析できるからである。すなわち、顧客の店舗内での滞在場所及び滞在時間並びに顔向きから注目商品又は商品の関心度と移動コースとが顧客データベースから特定できるためである。
【図面の簡単な説明】
【図1】本発明における店舗内カメラの配置及び人物の顔向きに係る実施の一形態を示す平面図である。
【図2】本発明における実施の一形態を示す機能ブロック図である。
【図3】図2の画像処理部における実施の一形態を示す機能ブロック図である。
【図4】図3のID編集における個人情報総合判断のために収集された複数画像フレームの実施の一形態を示す説明図である。
【図5】(A)は図2の来店中顧客リストにおける実施の一形態を示す機能ブロック図であり、(B)は(A)と異なる来店中顧客リストにおける実施の一形態を示す機能ブロック図である。
【図6】図2の制御部における主要動作手順の実施の一形態を示すフローチャートである。
【図7】従来の一例を示す機能ブロック図である。
【符号の説明】
10 入力部
11 入り口カメラ
12 レジカメラ
14 出口カメラ
15〜18 店内カメラ
20 POS端末
31〜36 顧客
40 出力部
41 スピーカ
42 電子掲示板
43 情報端末
50 制御部
51 画像処理部
52、52A、52B 来店中顧客リスト
53 顧客管理部
60 顧客DB
70 告示情報DB
71 音声案内商品情報
72 電子掲示商品情報
81〜86 画像フレーム
510 ID編集
511、512 画像受付
[0001]
TECHNICAL FIELD OF THE INVENTION
The present invention relates to a method and a system for collecting and managing customer information, in which image information of the customer is acquired by a camera and used for marketing, and more particularly to a customer information characteristic that can be determined more accurately as personal information and based on the personal information. The present invention relates to a customer information collection / management method and system capable of providing a sales promotion service corresponding to each layer without losing time.
[0002]
[Prior art]
Conventionally, in this type of customer information collection and management system, the purpose of the system is to create an accurate database by reducing the input work and preventing the dispersion of the judgment of the customer's attributes, Based on the photographed image of the customer, the attribute of the customer is automatically determined by image processing (for example, see Patent Document 1).
[0003]
With reference to FIG. 7, this customer information collection management system will be described.
[0004]
In each in-store information analysis system 100, the control unit 108 determines gender, age group, and the like as attributes of the customer from the image information of the cash register camera 102 that images the customer at the register. Next, the clerk inputs the data of the product purchased by the customer to the register accurately using, for example, a barcode. As a result, the product data and the attribute of the customer are recorded in association with each other.
[0005]
That is, since the attribute of the customer is determined based on the image information of the customer who purchases the goods, not only the input work by the clerk is reduced, but also the judgment is prevented from being uniform based on the uniform reference from the image information. Further, these data at each store are sent from the in-store information analysis system 100 and centrally stored in the information analysis center 110, and are utilized for marketing.
[0006]
Further, there is a customer data processing system in which a terminal device acquires and analyzes customer data to determine the type of the customer, specifies product guidance data based on the determination result, and provides the guidance data to the customer (for example, , Patent Document 2).
[0007]
This terminal device is provided with a camera and a sensor, and when the customer stands in front, automatically acquires customer information by the camera and the sensor, determines the customer type from the acquired information, and provides guidance data suitable for the customer layer. To provide to its customers. The guidance data is centrally held in the server device corresponding to the customer layer data, and provided to a plurality of terminal devices. Here, the residence time of the customer is also measured.
[0008]
[Patent Document 1]
JP-A-2002-32553 (FIG. 1)
[0009]
[Patent Document 2]
JP-A-11-328266 (FIGS. 1 and 2)
[0010]
[Problems to be solved by the invention]
However, the above-described conventional customer information collection and management method and its system have the following problems.
[0011]
The first problem is the lack of accuracy in determining customer attributes such as age, gender, and clothing.
[0012]
The reason is that the photographing data for acquiring the attribute information of the customer is not continuously photographed for a plurality of frames, but is determined only by a single frame. In Patent Document 1, image information only when a product is purchased in a register, and in Patent Document 2, image information of a camera when facing a terminal device, a customer is determined only from a frontal image. There is a small amount of data for, and there is danger in accurately determining the attributes of a person such as age, gender, and clothes.
[0013]
The second problem is that it is difficult to flexibly respond to each store when promoting product sales based on personal information of customers visiting the store.
[0014]
The reason is that in Patent Documents 1 and 2, the information analysis center or the server device manages customer data and sales promotion product data in a concentrated manner at a plurality of stores, and it is difficult to quickly respond to changes at each store. It is.
[0015]
The third problem is that it is difficult to reflect the purchase information of customers who visit the store in improving the display of products in the store.
[0016]
The reason is that, in Patent Document 1, the data corresponding to the customer information is the purchased product data, and there is no data other than the purchased product. This is because Patent Literature 2 proposes that a terminal device be provided for each product for information collection for this purpose.
[0017]
It is an object of the present invention to solve such a problem, to obtain more accurate personal information from image information at each providing location of a product, and to quickly lose time at a change in circumstances at each providing location. It is an object of the present invention to provide a customer information collection / management method and system capable of providing corresponding product data and collecting information for improving a product display position.
[0018]
[Means for Solving the Problems]
The customer information collection and management method according to the present invention is to acquire customer's image information with a camera and utilize it for marketing, and regularly acquire images of all target customers with the camera, and continuously Judgment of the personal attributes of the customer from the acquired images of the plurality of frames to judge the individual, and further, for each of the judged individuals, a group of attention products of interest from the camera position, face orientation, and staying time, and use for marketing. It is to be.
[0019]
For this purpose, for example, in a store, a camera that periodically and continuously obtains images of customers in all aisles so that the positions and faces of the customers can be determined, and determines the personal attributes of the customers from the continuously obtained images of the cameras An image processing unit for comprehensively determining personal information, a customer visiting list for recording personal information based on the comprehensive determination of the image processing unit, and a customer utilizing for marketing based on the information recorded in the customer visiting list. And a management unit.
[0020]
With this configuration, a plurality of continuous image information can be acquired for one customer, so that personal information as a customer attribute can be collected more accurately. Further, it is possible to specify a product of interest or a group of products from the camera position and the face orientation analyzed from the image information, and to analyze the staying time and the duration of interest.
[0021]
In addition, when the customer's personal attribute and the product group of interest are acquired, the sales promotion information of the product prepared in advance corresponding to the product group of interest is immediately notified in an audible / visible manner to the store.
[0022]
That is, at the product display location, an audible / visual notification device such as a speaker, an electronic bulletin board, and / or an information terminal, and a notification in which a guidance notification including sales promotion products is stored in advance along with notification conditions corresponding to the notification device. An information database is further provided. The image processing unit selects the product of interest from the person position and face direction and the staying time of the continuous person image based on the same personal information, and records these information in the visiting customer list corresponding to the personal information. I do. Also, the customer management unit, when the information recorded in the customer list during the visit matches the notification condition, acquires the guidance notification corresponding to the notification condition from the notification information database and corresponds to the notification device. Provides audible / visible information.
[0023]
Since this notification information can be provided from the database in the same store, the provision conditions and the guidance of the provided product can be prepared as appropriate and quickly provided without losing time.
[0024]
Further, by determining a group of products of interest of the customer, the time of interest, and the travel route from the images obtained continuously, it is possible to utilize the product for marketing improvement such as improvement of product display positions in stores.
[0025]
That is, there are provided a register for registering a purchased product of a visiting customer and a customer database for recording information of past visiting customers. This image processing unit, when a purchased product is registered in the register, compares it with the purchaser's camera image and registers it in the in-store customer list, and when the exit camera image captures the customer, exits the store. Record in the customer list during the visit. In addition, the customer management unit additionally records, in the customer database, predetermined information of the customer correspondence information in which the customer has left the store in the visiting customer list.
[0026]
BEST MODE FOR CARRYING OUT THE INVENTION
Next, embodiments of the present invention will be described with reference to the drawings.
[0027]
FIG. 1 is a plan view showing an embodiment of the arrangement of the in-store camera and the face orientation of a person according to the present invention. The difference from the conventional example shown in FIG. 7 is that a plurality of cameras 11 to 18 are provided for acquiring images of customers 31 to 35 on a passage in a store.
[0028]
In the plan view shown in FIG. 1, an entrance camera 11, a cash register camera 12, an exit camera 14, and in-store cameras 15 to 18 are provided, for example, on a ceiling, and each of the cameras regularly shoots continuously. . The store is, for example, a so-called convenience store. A POS (point of sale information) terminal 20 serving as a register is provided in the store, customers 31 to 36 are visiting the store, and a speaker 41, an electronic bulletin board 42, and an information terminal 43 are provided other than the product display shelf. I have.
[0029]
The entrance camera 11 faces the entrance from inside the store and photographs the front of the customer entering the store. The cashier camera 12 takes an image of the front of a customer presenting a purchased product at the location of the POS terminal 20 serving as a register. The exit camera 14 faces the inside of the store from the doorway side, and photographs substantially the front of the exiting customer.
[0030]
The in-store cameras 15 to 18 photograph customers on the aisle. The in-store camera 15 in FIG. 1 is intended for a customer between a book shelf and a display shelf for daily necessities. The in-store camera 16 is intended for customers between display shelves of food and confectionery. The in-store camera 17 is intended for breads, lunches, desserts, and customers facing the information equipment 43. The in-store camera 18 targets drinks and customers in front of the electronic bulletin board.
[0031]
In FIG. 1, a customer 31 faces his / her bookshelf. The customer 32 is heading for the electronic bulletin board 42. For example, if the face orientation is fixed in the direction of the electronic bulletin board 42, it can be determined that the electronic bulletin board 42 is receiving attention. The customers 33 and 34 are paying attention to groceries and lunches, respectively. The customer 35 accesses the information terminal 43, and the customer 36 pays for the purchased merchandise at the register.
[0032]
Next, a customer information collection and management system according to the present invention will be described with reference to FIG. 1 and FIG.
[0033]
This customer information collection and management system includes an input unit 10, a POS terminal 20, an output unit 40, a control unit 50, a customer DB (database) 60, and a notification information DB 70 in a store. The customer DB 60 may be commonly or centrally managed at a plurality of stores.
[0034]
The information input unit 10 includes an entrance camera 11, a cash register camera 12, an exit camera 14, and in-store cameras 15 to 18. The illustrated POS terminal 20 includes a keyboard 21, a screen display 22, and a purchased product information acquisition unit 23. The information output unit 40 includes a speaker 41, an electronic bulletin board 42, and an information terminal 43. The control unit 50 includes an image processing unit 51, a visiting customer list 52, and a customer management unit 53. The notification information DB 70 has voice guidance product information 71 and electronic criminal product information 72.
[0035]
The cameras 11 to 18 have already been described with reference to FIG. 1. For example, image information obtained by continuously shooting several frames per second is sequentially sent to the image processing unit 51 of the control unit 50. In the POS terminal 20, the information input includes, for example, a barcode reader (not shown) other than the keyboard 21. The information output includes, for example, a receipt output (not shown) other than the screen display 22 that displays various information on the screen. Accordingly, a purchase merchandise information acquisition unit 23 that records and retains purchase merchandise information of customers is provided.
[0036]
The speaker 41 receives product information and the like stored in the voice guidance product information 71 under the control of the customer management unit 53 and broadcasts the received information to the store. The electronic bulletin board 42 receives product information and the like stored in the electronic posted product information 72 under the control of the customer management unit 53 and displays the screen. Although the illustrated electronic bulletin board 42 faces in the direction of the doorway, a plurality of electronic bulletin boards may be provided and may be directed to the outside of the store depending on information to be posted. The information terminal 43 receives the operation of the customer and can provide the customer not only with the product stored in the notification information DB 70 but also with other information in a visible / audible manner.
[0037]
The image processing unit 51 performs image processing on a plurality of frames of image information obtained from the input unit 10 for each frame, and extracts personal characteristics such as gender, age, and clothes for tracking customers. By image processing, it is possible to specify a person and specify attention product information obtained from a camera position, a face direction, and a stay time, and furthermore, movement of one customer in a store in association with the passage of time. Track your route. Accordingly, the extracted personal information to which the customer ID (identifier) is assigned is sent to the customer list 52 during visit to the store, and is organized by ID for each customer. When it is determined from the image information that the customer has left the store, the customer's leaving is sent to the visiting customer list 52.
[0038]
The customer management unit 53 repeatedly scans the customer information recorded in the customer list 52 during the visit to the store, and when the condition matches a preset condition, the voice guidance product information 71 and / or the voice guidance product information 71 stored in the notification information DB 70. Appropriate notice information is extracted from the electronic notice product information 72 and sent to the output unit 40. When the customer leaves the store, the data of the corresponding customer is checked against the customer DB 60, and new customer information is transferred to the customer DB 60 and added, while the same information is discarded. In particular, when the information in the customer DB 60 changes significantly, this can be detected and reflected in sales promotion.
[0039]
The customer DB 60 records, in addition to the characteristics of each customer as a person, information on a product of interest such as a purchased product, a travel route, and a stay time for the customer class. Therefore, the customer DB 60 is useful for selecting sales promotion products corresponding to gender, age group, occupation, etc., and improving the display of products in the store.
[0040]
The notification information DB 70 stores information on recommended products corresponding to the customer segment created for sales promotion based on the information up to that time, voice information as voice guide product information 71, video information as electronic posted product information 72, Each of them is stored in advance together with the customer demographic conditions to be promoted, for example, gender, age group, occupation, and the like. This information is periodically revised based on information stored in the customer DB 60.
[0041]
Next, the function of the image processing unit 51 will be described in detail with reference to FIGS.
[0042]
The image processing unit 51 has the functions of image reception 511, 512,... For example, the image reception 511 sequentially receives image data captured by the entrance camera 11, adds the camera number and time to the image data, and sends the image data to the ID editor 510.
[0043]
The ID editor 510 performs image processing on the received images of a plurality of frames for each frame, and extracts characteristics of a person such as gender, age, and clothes as person information. More specifically, for each image frame, a determination probability that a person is a man with a probability of 90% and a probability of 30s is in his 30s with a probability of 30% is calculated, and a person feature is determined from the height of the determination probability. On the other hand, in each of the person images, the point of interest can be determined at the same time from the camera position and the face direction, so that a group of products or products that are of interest or to be purchased are specified.
[0044]
Then, similar image information is collected in a time series, and as shown in FIG. 4, more accurate feature extraction is realized by comprehensively judging information of a plurality of image frames 81 to 86 for one customer. Then, comprehensive judgment of personal information is made, and a customer ID is given. As described above, for the characteristics of a person, a method of adopting a more reliable determination result from the determination results of a large number of image frames by tracking a plurality of cameras is adopted.
[0045]
Specifically, in the comprehensive judgment, only the image frames whose judgment probability is equal to or more than a certain threshold are adopted. For example, when the threshold value of the determination probability is set to 80%, two image frames of an image frame 81 of 93% for male and an image frame 85 of 81% for male are adopted, and the image is determined to be male. By such a method of eliminating ambiguous determination, accurate person characteristics can be extracted.
[0046]
As a result, even when a small number of unreliable judgment results are mixed in with a large number of highly reliable judgment results, more accurate human feature extraction can be performed by removing the unreliable judgment results. In addition, even when a large number of unreliable judgment results have a small number of highly reliable judgment results, a small number of highly reliable judgment results can be adopted in the same manner. It is possible.
[0047]
The customer tracking information and characteristic information obtained by the image processing unit 51 are sent to the customer list 52 during the visit and are additionally recorded. That is, for example, personal information indicating the characteristics of the customer, the entry time, the place of stay, the length of stay, and the like are recorded for each ID, and the exit time can be recorded when exit from the exit is detected. As described above, the customer information in which the store exit time is recorded is extracted from the in-store customer list 52 by the customer management unit 53.
[0048]
Next, the in-store customer list 52 will be described in detail with reference to FIG.
[0049]
The contents of the in-store customer list 52A shown in FIG. 5A include attributes such as an ID for identifying the customer, gender, age, clothes, status obtained from the face direction, and stay time. The information is updated by the image processing unit 51 in real time. Further, in FIG. 5 (B), gait in which the place where the stay time exists is sequentially recorded is acquired as the data of the moving course.
[0050]
Next, an operation procedure of the control unit 50 will be described with reference to FIGS. FIG. 6 is a flowchart showing an embodiment of a procedure centering on the main operation of the customer management unit 53.
[0051]
In the control unit 50, the image processing unit 51 knows from the image data received from the entrance camera 11 that the customer has visited the store (YES in step S1), acquires the customer's personal data (step S2), and assigns an ID code. Then, it is recorded in the customer list 52 during the visit. The visiting customer is photographed by any of the cameras 11 to 18 in the store, and the image is processed, and the processing result is sequentially recorded in the visiting customer list 52.
[0052]
The customer management unit 53 repeatedly scans the visiting customer list 52 to investigate the characteristics of the acquired data (step S3). Characteristics include not only individuals, but also general conditions such as, for example, many male customers wearing suits buying lunch and drinks during lunchtime, or many young female customers are visiting the store. is there.
[0053]
If step S3 is “YES” and the acquired data from the visiting customer list 52 has characteristics, the customer management unit 53 compares the registered data in the notification information DB 70 with, for example, recommendation to a male customer at lunch. It confirms the presence or absence of corresponding PR (advertisement, advertisement) products, such as today's products, or cosmetics recommended to a large number of young female customers (step S4).
[0054]
If the procedure S4 is “YES” and there is a corresponding PR product, the customer management unit 53 extracts the corresponding data from the notification information DB 70 and passes it to the output unit 40, and the PR product is announced by voice or / and electronic bulletin. The image is notified (step S5). For example, in the case of the voice guidance product information 71, voice guidance by announcement is played from the speaker 41. In the case of the electronically posted product information 72, a customer who is visiting the store is notified by a screen display on the electronic bulletin board 42.
[0055]
Furthermore, for example, if there are many young student customers in their late teens to early 20s who are browsing in the magazine corner late at night, we recommend a special PR snack, or personalized services, or the whole Can automatically and in real time provide services for the customer group, so that customers' motivation to purchase can be increased.
[0056]
On the other hand, when the image processing unit 51 identifies a customer leaving the store from the image data received from the exit camera 14 (YES in step S6), the store exit is recorded in a corresponding location of the customer visiting store list 52 by, for example, time. Is done. The customer management unit 53 compares the personal characteristic data of the customer who has a record of leaving the store in the in-store customer list 52 with that stored in the customer DB 60. When it is determined that the exiting customer is a new customer (YES in step S7), the customer management unit 53 newly assigns an ID number and registers the customer's personal data in the customer DB 60 (step S8). Predetermined data such as the product of interest and the stay time at the place are additionally registered as customer data, and the corresponding data is deleted from the visiting customer list 52 (step S9).
[0057]
If the above step S7 is "NO" and the individual customer has already been registered, the customer management unit 53 skips the above step S8 and proceeds to the above step S9, where the number of visits, the purchased product information, the interesting product different from the conventional one, etc. Then, predetermined customer data is additionally registered in the corresponding location, and the corresponding data is deleted from the visiting customer list 52.
[0058]
Next, the customer management unit 53 confirms the presence of the in-store customer in the in-store customer list 52 (step S10). Since there is no record of the customer in the visiting customer list 52, if this step S10 is "NO", the procedure ends.
[0059]
If the procedure S10 is “YES” and there are still visiting customers in the store, the procedure S3 is “NO” and there is no characteristic acquired data in the visiting customer list 52, or the procedure S4 is “NO”. Similarly, when there is no corresponding PR product, the process returns to the above-described step S2, and the above-described procedure is continuously repeated from the operation of collecting customer data of the customer during the visit.
[0060]
In the above description, the ID of the customer data during the visit and the ID of the customer DB are assigned independently, but the image processing unit assigns the ID matching the personal characteristic data to the customer DB when assigning the ID to the visitor. It is good also as taking out from and giving.
[0061]
In the above description, the imaging data of all customers in the store is obtained by using a plurality of cameras. However, a method in which an omnidirectional camera is installed on the ceiling in the center of the store and the entire store is tracked by one camera. May be.
[0062]
In addition, with respect to the processing of a plurality of image frames with reference to FIG. 4, only those having a certain threshold value or more are adopted, but a method of averaging all the image frames 81 to 85 is also conceivable. Specifically, a method of calculating a male as 72 (= (93 + 67 + 45 + 74 + 81 + 74) / 6) percent and a female as 28 (= (7 + 33 + 55 + 26 + 19 + 26) / 6) percent is used to determine a male. This method is more reliable than a determination made from only one image, because the customer can capture all the information that has been captured. Furthermore, if the expression can be recognized in the image processing technology, it can be added to the information on the degree of interest in the product.
[0063]
In addition, although the description has been made using the image processing technology for acquiring the customer data, it is also possible to further improve the recognition performance by combining voice. In this case, for example, a method may be added in which a microphone is installed in the store, the male and female are analyzed from the utterance, or the reputation of the product is analyzed from the content of the conversation using voice recognition technology.
[0064]
In the above description, the store is targeted, but the user is tracked and the feature is extracted by a vending machine or an ATM (automatic teller machine), and a specific service is executed to the user, or a minor is used. You can also use it to restrict
[0065]
As described above, the customer information management in the store has been described with reference to the illustrated functional blocks and procedures. However, changes such as distribution and merging of functions or replacement of procedures before and after the functions are free as long as the above functions are satisfied. However, the target is not limited to the product display shelf. That is, the above description is not intended to limit the present invention, and the present function is applicable to general information management of customers using facilities capable of photographing with a camera.
[0066]
【The invention's effect】
As described above, according to the present invention, the following effects can be expected.
[0067]
The first effect is that efficient marketing automation is possible.
[0068]
The reason for this is that the same person is image-processed on a large number of image capturing screens from various directions by continuously photographing at a plurality of cameras in the store. That is, the characteristics of an individual obtained from this image processing are more reliable and can be distinguished more accurately from others, and also the products of interest can be analyzed based on the place and time of stay in the store.
[0069]
The second effect is that it is possible to increase the willingness to purchase customers who are visiting the store.
[0070]
The reason for this is that, as described above, the characteristics of the customer obtained from the image processing are more reliable, and it is possible to analyze and record and store in the database a product of interest from the place of stay and the length of stay in the store. . Therefore, it is possible to prepare recommended advertisements and advertisements of the recommended products in advance in accordance with the characteristics of the stored data. This is because it is possible to provide a specific service corresponding to.
[0071]
The third effect is that it is effective for improving the display of goods in a store.
[0072]
The reason is that, as described above, the behavior of the customer in the store can be analyzed in more detail. In other words, this is because the customer's stay location and stay time in the store, and the face orientation can be used to identify the interest level of the product of interest or the product and the travel course from the customer database.
[Brief description of the drawings]
FIG. 1 is a plan view showing an embodiment of an arrangement of a camera in a store and a face direction of a person according to the present invention.
FIG. 2 is a functional block diagram showing an embodiment of the present invention.
FIG. 3 is a functional block diagram illustrating an embodiment of the image processing unit in FIG. 2;
FIG. 4 is an explanatory diagram showing an embodiment of a plurality of image frames collected for personal information comprehensive judgment in the ID editing of FIG. 3;
5 (A) is a functional block diagram showing an embodiment in the visiting customer list of FIG. 2; FIG. 5 (B) is a functional block showing an embodiment in the visiting customer list different from FIG. 2 (A); FIG.
FIG. 6 is a flowchart showing an embodiment of a main operation procedure in the control unit of FIG. 2;
FIG. 7 is a functional block diagram showing an example of the related art.
[Explanation of symbols]
DESCRIPTION OF SYMBOLS 10 Input part 11 Entrance camera 12 Cash register camera 14 Exit camera 15-18 In-store camera 20 POS terminal 31-36 Customer 40 Output part 41 Speaker 42 Electronic bulletin board 43 Information terminal 50 Control part 51 Image processing part 52, 52A, 52B List 53 customer management section 60 customer DB
70 Notification information DB
71 Voice guidance product information 72 Electronically posted product information 81 to 86 Image frame 510 ID editing 511, 512 Image reception

Claims (6)

カメラで顧客の画像情報を取得してマーケティングに活用する顧客情報収集管理方法において、対象とするすべての顧客の画像を前記カメラで定期的に取得し、連続して取得した画像から顧客の人物属性を判定して個人を判別し、更に、判別した個人毎にカメラ位置、顔向き、及び滞在時間から注目商品群を判断し、マーケティングに活用することを特徴とする顧客情報収集管理方法。In a customer information collection and management method in which customer image information is acquired by a camera and used for marketing, images of all target customers are periodically acquired by the camera, and the customer's personal attribute is obtained from the continuously acquired images. A customer information collection and management method characterized by determining a group of products of interest from a camera position, a face direction, and a staying time for each determined individual, and utilizing the group for attention in marketing. 請求項1において、顧客の人物属性と注目商品群とを取得した際に、この注目商品群に対応する予め用意された商品の販売促進情報を可聴/可視で顧客に直ちに告知することを特徴とする顧客情報収集管理方法。2. The method according to claim 1, wherein when the personal attribute of the customer and the product group of interest are acquired, the sales promotion information of the product prepared in advance corresponding to the product group of interest is immediately notified to the customer in an audible / visual manner. To collect and manage customer information. 請求項1において、連続して取得した画像から、顧客の注目商品群及びその注目時間、並びに移動経路を判定することを特徴とする顧客情報収集管理方法。2. The customer information collection and management method according to claim 1, wherein a group of products of interest of the customer, a time of interest thereof, and a moving route are determined from the images obtained continuously. カメラで顧客の画像情報を取得してマーケティングに活用する顧客情報収集管理システムにおいて、対象とするすべての顧客の人物画像を人物位置及び顔向きの判定可能に定期的に連続取得するカメラと、このカメラの連続取得画像から顧客の人物属性を判定して顧客の個人情報を総合判断する画像処理部と、この画像処理部の総合判断による個人情報を記録する来店中顧客リストと、この来店中顧客リストに記録された情報に基づいてマーケティングに活用する顧客管理部とを備えることを特徴とする顧客情報収集管理システム。In a customer information collection and management system that uses a camera to acquire customer image information and utilize it for marketing, a camera that periodically and continuously acquires person images of all target customers so that the person position and face direction can be determined, An image processing unit that determines the personal attributes of the customer from the consecutively acquired images of the camera to comprehensively determine the personal information of the customer; a list of visiting customers who records personal information based on the comprehensive determination of the image processing unit; A customer information collection and management system, comprising: a customer management unit that utilizes the information recorded in the list for marketing. 請求項4において、商品提供場所にスピーカ、電子掲示板、及び情報端末のうちの少なくとも一つの告示機器と、販売促進商品を含む案内告示情報を告示条件と共に前記告示機器に対応して予め格納する告示情報データベースとを更に設け、
前記画像処理部は、同一個人情報に基づいて連続する人物画像の人物位置及び顔向き並びに滞在時間からその注目商品を選定し、これら情報を前記来店中顧客リストに前記個人情報に対応して記録し、かつ、
前記顧客管理部は、前記来店中顧客リストに記録された情報が前記告示条件と一致した際に、その告示条件に対応する前記案内告示情報を告示情報データベースから取得して前記告示機器に提供する
ことを特徴とする顧客情報収集管理システム。
The notification according to claim 4, wherein at least one of a speaker, an electronic bulletin board, and an information terminal, a notification device, and guidance notification information including a sales promotion product are stored in advance in a product providing location corresponding to the notification device along with notification conditions. An information database is further provided,
The image processing unit selects the product of interest based on the person position and face direction and the staying time of a continuous person image based on the same personal information, and records these information in the visiting customer list corresponding to the personal information. And
The customer management unit, when the information recorded in the visiting customer list matches the notification condition, acquires the guidance notification information corresponding to the notification condition from a notification information database and provides the notification notification information to the notification device. A customer information collection and management system, characterized in that:
請求項4において、来店中の顧客の購買商品を登録するレジスタと今までの来店客の情報を記録する顧客データベースとが更に備えられており、
前記画像処理部は、レジスタで購買商品が登録された際には購買顧客のカメラ画像と照合して前記来店中顧客リストに登録し、かつ出口カメラ画像が顧客を捕捉した際にはその退店を前記来店中顧客リストに記録し、かつ、
前記顧客管理部は、前記来店中顧客リストで退店の記録された顧客対応情報のうちの所定情報を前記顧客データベースに追加記録する
ことを特徴とする顧客情報収集管理システム。
5. The system according to claim 4, further comprising a register for registering a purchased product of a customer who is visiting the store, and a customer database for recording information of the customers who have visited the store.
The image processing unit, when a purchased product is registered in the register, compares the purchased product with the camera image of the purchasing customer, registers the customer in the in-store customer list, and exits when the exit camera image captures the customer. Is recorded in the visiting customer list, and
The customer information collection and management system according to claim 1, wherein the customer management unit additionally records, in the customer database, predetermined information from the customer correspondence information in which the customer has left the store in the visiting customer list.
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