Overview¶

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

Hardware Environment¶

• GR-PEACH ( https://developer.mbed.org/platforms/Renesas-GR-PEACH/ )
• LCD Shield ( https://developer.mbed.org/teams/Renesas/Wiki/LCD-shield )
• HVC-P2 ( Human Vision Components B5T-007001 ) ( https://plus-sensin.omron.com/product/B5T-007001/ )

Application Preconfiguration¶

1. 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
2. Set up the Access Code of resource where the gathered data would be stored. For details on 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
   
3. Set up URI for the resource where the gathered data would be stored. For details, please refer to the following link:
   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
   

Build Procedure¶

• Import this sample program onto mbed Compiler
  
• 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"

• 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 recognition data sent from HVC-P2 is serialized in the following JSON format:

• 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 face in screen 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 body in screen coordinate system

概要¶

ハードウェア環境¶

アプリケーションの事前設定¶

ビルド手順¶

送信データフォーマット¶