Sample program for communicating with Fujitsuu IoT Platform using HTTP

Dependencies:   AsciiFont GR-PEACH_video GraphicsFramework LCD_shield_config R_BSP USBHost_custom easy-connect-gr-peach mbed-http picojson BM1383GLV KX022 rohm-sensor-hal rohm-bh1745

Overview

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

Required Hardware

Application Setup

  1. Configure the connection type. For details, please refer to the following link:
    https://developer.mbed.org/teams/Renesas/code/GR-PEACH_IoT_Platform_HTTP_sample/wiki/Connection-Type
  2. 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
  3. 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
  4. 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

Building Example

  1. Import this sample program onto mbed Compiler
  2. Configure the program in accordance with the description of Application Setup above
  3. Compile the sample program
  4. Plug the Ethernet cable into GR-PEACH if you would like Ethernet mode
  5. Plug micro-USB cable into the OpenSDA port which lies on the next to the RESET button
  6. Copy the binary previously downloaded to your PC to GR-PEACH in order to flash this program. When the copy is successfully completed, the drive named MBED should be re-mounted automatically
  7. Press the RESET button on the board to run the sample application

Data Format sent to IoT Platform

In this sample program, the cognitive data and sensing data are serialized into the following JSON format using picojson (https://developer.mbed.org/users/mimil/code/picojson/):

  • Face detection data

{
    "RecordType": "HVC-P2(face)",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "Age": xxx,
    "FaceRectangle": {
        "Height": xxx,
        "Left": xxx,
        "Top": xxx,
        "Width": xxx
    },
    "Gender": xxx,
    "Scores": {
        "Anger": xxx,
        "Happiness": xxx,
        "Neutral": xxx,
        "Sadness": xxx,
        "Surprise": xxx
    }
}
  • Body detection data

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

{
    "RecodeType": "Accelerometer",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "data": [ acceleratoin(x-direction), acceleration(y-direction), acceleration(z-direction), null, null, null ]
}

Note that data[0], data[1] and data[2] are filled with the acceleration data in x, y and z direction respectively, and the remaining elements are filled with null.

  • Atmosphere data

{
    "RecodeType": "Atmosphere",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "data": [ atmosphere data, null, null, null, null, null ]
}

Note that data[0] is filled with atmosphere data, and the remaining elements are filled with null.

  • Color sensor data

{
    "RecodeType": "Color",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "data": [ Red, Green, Blue, Alpha, null, null]
}

Note that data[0], data[1], data[2] and data[3] are filled with Red, Green, Blue and Alpha elements of color respectively, and the remaining elements are filled with null.

  • Temperature data

{
    "RecodeType": "Temperature",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "data": [ Temperature, null, null, null, null, null ]
}

Note that data[0] is filled with temperature data, the remaining elements are filled with null.

  • Geomagnetism

{
    "RecodeType": "Geomagnetism",
    "id": "<GR-PEACH ID>-<Sensor ID>",
    "data": [ geomagnetism(x-direction), geomagnetism(y-direction), geomagnetism(z-direction), null, null, null]
}

Note that data[0], data[1] and data[2] are filled with the geomagnetism data in x, y and z direction respectively, and the remaining elements are filled with null.

Committer:
Osamu Nakamura
Date:
Thu Apr 12 19:04:23 2018 +0900
Revision:
7:9ae73f85dc04
Parent:
0:8373b6833bde
Update BM1422AGMV driver so that it can be compiled by ARMCC

Who changed what in which revision?

UserRevisionLine numberNew contents of line
Osamu Nakamura 0:8373b6833bde 1 #ifndef RECOGNITION_PROCESSING_H
Osamu Nakamura 0:8373b6833bde 2 #define RECOGNITION_PROCESSING_H
Osamu Nakamura 0:8373b6833bde 3
Osamu Nakamura 0:8373b6833bde 4 #include "DisplayBace.h"
Osamu Nakamura 0:8373b6833bde 5 #include "HVCApi.h"
Osamu Nakamura 0:8373b6833bde 6 #include "HVCDef.h"
Osamu Nakamura 0:8373b6833bde 7 #include "HVCExtraUartFunc.h"
Osamu Nakamura 0:8373b6833bde 8
Osamu Nakamura 0:8373b6833bde 9 #define BODY_THRESHOLD_DEFAULT 500 /* Threshold for Human Body Detection */
Osamu Nakamura 0:8373b6833bde 10 #define FACE_THRESHOLD_DEFAULT 500 /* Threshold for Face Detection */
Osamu Nakamura 0:8373b6833bde 11 #define HAND_THRESHOLD_DEFAULT 500 /* Threshold for Hand Detection */
Osamu Nakamura 0:8373b6833bde 12 #define REC_THRESHOLD_DEFAULT 500 /* Threshold for Face Recognition */
Osamu Nakamura 0:8373b6833bde 13
Osamu Nakamura 0:8373b6833bde 14 #define BODY_SIZE_RANGE_MIN_DEFAULT 180 /* Human Body Detection minimum detection size */
Osamu Nakamura 0:8373b6833bde 15 #define BODY_SIZE_RANGE_MAX_DEFAULT 1000 /* Human Body Detection maximum detection size */
Osamu Nakamura 0:8373b6833bde 16 #define HAND_SIZE_RANGE_MIN_DEFAULT 100 /* Hand Detection minimum detection size */
Osamu Nakamura 0:8373b6833bde 17 #define HAND_SIZE_RANGE_MAX_DEFAULT 1000 /* Hand Detection maximum detection size */
Osamu Nakamura 0:8373b6833bde 18 #define FACE_SIZE_RANGE_MIN_DEFAULT 100 /* Face Detection minimum detection size */
Osamu Nakamura 0:8373b6833bde 19 #define FACE_SIZE_RANGE_MAX_DEFAULT 1000 /* Face Detection maximum detection size */
Osamu Nakamura 0:8373b6833bde 20
Osamu Nakamura 0:8373b6833bde 21 #define FACE_POSE_DEFAULT 0 /* Face Detection facial pose (frontal face)*/
Osamu Nakamura 0:8373b6833bde 22 #define FACE_ANGLE_DEFAULT 0 /* Face Detection roll angle (±15°)*/
Osamu Nakamura 0:8373b6833bde 23
Osamu Nakamura 0:8373b6833bde 24 typedef struct {
Osamu Nakamura 0:8373b6833bde 25 INT32 execFlag;
Osamu Nakamura 0:8373b6833bde 26 HVC_THRESHOLD threshold;
Osamu Nakamura 0:8373b6833bde 27 HVC_SIZERANGE sizeRange;
Osamu Nakamura 0:8373b6833bde 28 INT32 pose;
Osamu Nakamura 0:8373b6833bde 29 INT32 angle;
Osamu Nakamura 0:8373b6833bde 30 } recognition_setting_t;
Osamu Nakamura 0:8373b6833bde 31
Osamu Nakamura 0:8373b6833bde 32 extern void recognition_task(DisplayBase * p_display);
Osamu Nakamura 0:8373b6833bde 33
Osamu Nakamura 0:8373b6833bde 34 extern recognition_setting_t * GetRecognitionSettingPointer(void);
Osamu Nakamura 0:8373b6833bde 35 extern void SetRegistrationrReq(void);
Osamu Nakamura 0:8373b6833bde 36 extern void SetSettingReq(void);
Osamu Nakamura 0:8373b6833bde 37
Osamu Nakamura 0:8373b6833bde 38 #endif
Osamu Nakamura 0:8373b6833bde 39