Renesas / Mbed OS GR-PEACH_HVC-P2_IoTPlatform_http

Sample program that can send the recognition data from HVC-P2 to Fujitsu IoT Platform using REST (HTTP)

Dependencies:   AsciiFont GR-PEACH_video GraphicsFramework LCD_shield_config R_BSP USBHost_custom easy-connect-gr-peach mbed-http picojson

Overview

This sample program shows how to send the cognitive data gathered by Omron HVC-P2 (Human Vision Components B5T-007001) to IoT Platform managed by FUJITSU ( http://jp.fujitsu.com/solutions/cloud/k5/function/paas/iot-platform/ ).

Hardware Configuration

• GR-PEACH 1 set ( https://developer.mbed.org/platforms/Renesas-GR-PEACH/ )
• LCD Shield 1 set ( https://developer.mbed.org/teams/Renesas/Wiki/LCD-shield )
• HVC-P2 1 set ( Human Vision Components B5T-007001 ) ( https://plus-sensin.omron.com/product/B5T-007001/ )
• USBA - Micro USB Cable 2 sets
• USBA (Female) - Micro USB (Male) Adapter 1 set

When executing this sample program, please configure the above H/W as shown below:

Also, please close JP3 of GR-PEACH as follows:

Application Preconfiguration

• Configure Ethernet settings. For details, please refer to the following link:
  https://developer.mbed.org/teams/Renesas/code/GR-PEACH_IoT_Platform_HTTP_sample/wiki/Ethernet-settings
• On IoT Platform, set up the resource and its access code where the gathered data would be stored. For details on resource and access code, please refer to the following links:
  https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/userguide_en.pdf
  https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/apireference_en.pdf
  https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/portalmanual_en.pdf
  

Build Procedure

• Import this sample program onto mbed Compiler
  
• In GR-PEACH_HVC-P2_IoTPlatform_http/IoT_Platform/iot_platform.cpp, please replace <ACCESS CODE> with the access code you set up on IoT Platform. For details on how to set up Access Code, please refer to the above Application Setup. Then, please delete the line beginning with #error macro.

#define ACCESS_CODE <Access CODE>
#error "You need to replace <Access CODE for your resource> with yours"

• In GR-PEACH_HVC-P2_IoTPlatform_http/IoT_Platform/iot_platform.cpp, please replace <Base URI>, <Tenant ID> and <Path-to-Resource> below with yours and delete the line beginning with #error macro. For details on <Base URI> and <Tenant ID>, please contact FUJITSU LIMITED. Also, for details on <Path-to-Resource>, please refer to the above Application Setup.

std::string put_uri_base("<Base URI>/v1/<Tenant ID>/<Path-to-Resource>.json");
#error "You need to replace <Base URI>, <Tenant ID> and <Path-to-Resource> with yours"
**snip**
std::string get_uri("<Base URI>/v1/<Tenant ID>/<Path-to-Resource>/_past.json");
#error "You need to replace <Base URI>, <Tenant ID> and <Path-to-Resource> with yours"

• Compile the program. If compilation is successfully terminated, the binary should be downloaded on your PC.
• Plug Ethernet cable into GR-PEACH
• Plug micro-USB cable into the port which lies on the next to RESET button. If GR-PEACH is successfully recognized, it appears as the USB flash disk named mbed as show below:
  
  
• Copy the downloaded binary to mbed drive
• Press RESET button on GR-PEACH in order to run the program. If it's successfully run, you can see the following message on terminal:
  
  

Format of Data to be sent to IoT Platform

In this program, the cognitive data sent from HVC-P2 is serialized in the following JSON format and send it to IoT Platform:

• Face detection data

{
    "RecodeType": "HVC-P2(face)"
    "id": <GR-PEACH ID>-<Sensor ID>"
    "FaceRectangle": {
        "Height": xxxx,
        "Left": xxxx,
        "Top": xxxx,
        "Width": xxxx,
    },
    "Gender": "male" or "female",
    "Scores": {
        "Anger": zzz,
        "Hapiness": zzz,
        "Neutral": zzz,
        "Sadness": zzz,
        "Surprise": zzz
    }
}

xxxx: Top-left coordinate, width and height of the rectangle circumscribing the detected face in LCD display coordinate system
zzz: the value indicating the expression estimated from the detected face

//

• Body detection data

{
    "RecodeType": "HVC-P2(body)"
    "id": <GR-PEACH ID>-<Sensor ID>"
    "BodyRectangle": {
        "Height": xxxx,
        "Left": xxxx,
        "Top": xxxx,
        "Width": xxxx,
    }
}

xxxx: Top-left coordinate, width and height of the rectangle circumscribing the detected body in LCD display coordinate system

概要

本プログラムは、オムロン社製HVC-P2 (Human Vision Components B5T-007001)で収集した各種認識データを、富士通社のIoT Platform ( http://jp.fujitsu.com/solutions/cloud/k5/function/paas/iot-platform/ ) に送信するサンプルプログラムです。

ハードウェア構成

• GR-PEACH １式 ( https://developer.mbed.org/platforms/Renesas-GR-PEACH/ )
• LCD Shield １式 ( https://developer.mbed.org/teams/Renesas/Wiki/LCD-shield )
• HVC-P2 １式 ( Human Vision Components B5T-007001 ) ( https://plus-sensin.omron.com/product/B5T-007001/ )
• USBA - Micro USBケーブル ２式
• USBA (メス) - Micro USB (オス)変換アダプタ １式

本プログラムを動作させる場合、上記H/Wを下図のように接続してください。

また下図に示すGR-PEACHのJP3をショートしてください。

アプリケーションの事前設定

• Ethernetの設定を行います。詳細は下記リンクを参照ください。
  https://developer.mbed.org/teams/Renesas/code/GR-PEACH_IoT_Platform_HTTP_sample/wiki/Ethernet-settings
• HVC-P2で収集したデータを格納するリソース、およびそのアクセスコードをIoT Platform上で設定します。詳細は下記リンクを参照ください。
  https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/userguide_en.pdf https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/apireference_en.pdf https://iot-docs.jp-east-1.paas.cloud.global.fujitsu.com/en/manual/portalmanual_en.pdf

ビルド手順

• 本サンプルプログラムをmbed Compilerにインポートします
• 下記に示すGR-PEACH_HVC-P2_IoTPlatform_http/IoT_Platform/iot_platform.cpp中の<ACCESS CODE> を、IoT Platform上で設定したアクセスコードで上書きしてください。<Access Code>の設定方法につきましては、上述のApplication Setupを参照願います。また #errorマクロで始まる行を削除してください。

#define ACCESS_CODE <Access CODE>
#error "You need to replace <Access CODE for your resource> with yours"

• 下記に示すGR-PEACH_HVC-P2_IoTPlatform_http/IoT_Platform/iot_platform.cpp中の<Base URI>と <Tenant ID>、および<Path-to-Resource>>を適当な値に置換えるとともに、#errorマクロで始まる行を削除してください。ここで、<Base URI>、 <Tenant ID>の詳細につきましては富士通社へご確認願います。また<Path-to-Resource>>につきましては、Application Setupの項を参照ください。

std::string put_uri_base("<Base URI>/v1/<Tenant ID>/<Path-to-Resource>.json");
#error "You need to replace <Base URI>, <Tenant ID> and <Path-to-Resource> with yours"
(中略)
std::string get_uri("<Base URI>/v1/<Tenant ID>/<Path-to-Resource>/_past.json");
#error "You need to replace <Base URI>, <Tenant ID> and <Path-to-Resource> with yours"

• プログラムをコンパイルします。コンパイルが正常終了すると、バイナリがお使いのPCにダウンロードされます。
• GR-PEACHのRJ-45コネクタにEthernetケーブルを差し込んでください。
• USBA - Micro USBケーブルを、GR-PEACHのRESETボタンの隣に配置されたMicro USBポートに差し込んでください。GR-PEACHが正常に認識されると、下図に示すようにGR-PEACHがmbedという名称のUSBドライブとして認識されます。
  
  
• ダウンロードしたバイナリをmbedドライブにコピーします。
• RESETボタンを押下してプログラムを実行します。正常に実行された場合、下記に示すメッセージがターミナル上に表示されます。
  
  

送信データフォーマット

本プログラムでは、HVC-P2が収集した認識データを下記のJSONフォーマットにシリアライズし、IoT Platformへ送信します。

• Face detection data

{
    "RecodeType": "HVC-P2(face)"
    "id": <GR-PEACH ID>-<Sensor ID>"
    "FaceRectangle": {
        "Height": xxxx,
        "Left": xxxx,
        "Top": xxxx,
        "Width": xxxx,
    },
    "Gender": "male" or "female",
    "Scores": {
        "Anger": zzz,
        "Hapiness": zzz,
        "Neutral": zzz,
        "Sadness": zzz,
        "Surprise": zzz
    }
}

xxxx: LCD表示座標系における検出した顔に外接する矩形の左上座標・幅・高さ
zzz: 検出した顔から推定した各種感情を示す数値

//

• Body detection data

{
    "RecodeType": "HVC-P2(body)"
    "id": <GR-PEACH ID>-<Sensor ID>"
    "BodyRectangle": {
        "Height": xxxx,
        "Left": xxxx,
        "Top": xxxx,
        "Width": xxxx,
    }
}

xxxx: LCD表示座標系における検出した人体に外接する矩形の左上座標・幅・高さ