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树莓派+阿里云IoT人脸识别场景实战

BicycleWarrior / 1960人阅读

摘要:整体架构基于阿里云的架构运行效果阿里云产品平台函数计算表格存储存储人脸识别设备采购名称图片购买摄像头淘宝树莓派淘宝树莓派设备端开发目录结构在目录下创建文件夹,在创建文件夹,配置文件文件程序安装依赖

1.整体架构

基于阿里云的Serverless架构

运行效果

2.阿里云产品

IoT平台:https://www.aliyun.com/product/iot

函数计算:https://www.aliyun.com/product/fc

表格存储:https://www.aliyun.com/product/ots

OSS存储:https://www.aliyun.com/product/oss

人脸识别:https://data.aliyun.com/product/face

3.设备采购
名称 图片 购买
摄像头 ![image.png left 155x144.9410029498525](https://cdn.nlark.com/yuque/0... "") 淘宝
树莓派 ![image.png left 155x144.82939632545933](https://cdn.nlark.com/yuque/0... "") 淘宝
4.树莓派设备端开发 4.1 Enable Camera

4.2 目录结构

在/home/pi目录下创建 iot文件夹,

在/home/pi/iot创建 photos文件夹,iot.cfg配置文件,iot.py文件

4.3 Python3程序 4.3.1 安装依赖
pip3 install oss2
pip3 install picamera
pip3 install aliyun-python-sdk-iot-client
4.3.2 iot.cfg配置文件
[IOT]
productKey = xxx
deviceName = xxx
deviceSecret = xxx

[OSS]
ossAccessKey = xxx
ossAccessKeySecret = xxx
ossEndpoint = xxx
ossBucketId = xxx
4.3.3 iot.py应用程序
#!/usr/bin/python3
# -*- coding: utf-8 -*-
import oss2
from picamera import PiCamera
import time
import aliyunsdkiotclient.AliyunIotMqttClient as AliyunIot
import configparser

config = configparser.ConfigParser()
config.read("iot.cfg")

# IoT
PRODUCE_KEY = config["IOT"]["productKey"]
DEVICE_NAME = config["IOT"]["deviceName"]
DEVICE_SECRET = config["IOT"]["deviceSecret"]

HOST = PRODUCE_KEY + ".iot-as-mqtt.cn-shanghai.aliyuncs.com"
SUBSCRIBE_TOPIC = "/" + PRODUCE_KEY + "/" + DEVICE_NAME + "/control";
# oss
OSS_AK = config["OSS"]["ossAccessKey"]
OSS_AK_SECRET = config["OSS"]["ossAccessKeySecret"]
OSS_ENDPOINT = config["OSS"]["ossEndpoint"]
OSS_BUCKET_ID = config["OSS"]["ossBucketId"]

auth = oss2.Auth(OSS_AK, OSS_AK_SECRET)
bucket = oss2.Bucket(auth, OSS_ENDPOINT, OSS_BUCKET_ID)

camera = PiCamera()
camera.resolution = (720,480)

# Take a photo first, then upload photo to oss
def take_photo():
    ticks = int(time.time())
    fileName = "raspi%s.jpg" % ticks
    filePath = "/home/pi/iot/photos/%s" % fileName
    # take a photo
    camera.capture(filePath)
    # upload to oss
    bucket.put_object_from_file("piPhotos/"+fileName, filePath)


def on_connect(client, userdata, flags, rc):
    print("subscribe "+SUBSCRIBE_TOPIC)
    client.subscribe(topic=SUBSCRIBE_TOPIC)


def on_message(client, userdata, msg):
    print("receive message topic :"+ msg.topic)
    print(str(msg.payload))
    take_photo()


if __name__ == "__main__":
    client = AliyunIot.getAliyunIotMqttClient(PRODUCE_KEY,DEVICE_NAME, DEVICE_SECRET, secure_mode=3)
    client.on_connect = on_connect
    client.on_message = on_message
    client.connect(host=HOST, port=1883, keepalive=60)
    # loop
    client.loop_forever()
5.函数计算开发 5.1 index.js应用程序
const request = require("request");
const url = require("url");
const crypto = require("crypto");
const TableStore = require("tablestore");
const co = require("co");
const RPCClient = require("@alicloud/pop-core").RPCClient;

const config = require("./config");

//iot client
const iotClient = new RPCClient({
    accessKeyId: config.accessKeyId,
    secretAccessKey: config.secretAccessKey,
    endpoint: config.iotEndpoint,
    apiVersion: config.iotApiVersion
});
//ots client
const otsClient = new TableStore.Client({
    accessKeyId: config.accessKeyId,
    secretAccessKey: config.secretAccessKey,
    endpoint: config.otsEndpoint,
    instancename: config.otsInstance,
    maxRetries: 20
});

const options = {
    url: config.dtplusUrl,
    method: "POST",
    headers: {
        "Accept": "application/json",
        "Content-type": "application/json"
    }
};

module.exports.handler = function(event, context, callback) {

    var eventJson = JSON.parse(event.toString());

    try {
        var imgUrl = config.ossEndpoint + eventJson.events[0].oss.object.key;

        options.body = JSON.stringify({ type: 0, image_url: imgUrl });
        options.headers.Date = new Date().toUTCString();
        options.headers.Authorization = makeDataplusSignature(options);

        request.post(options, function(error, response, body) {

            console.log("face/attribute response body" + body)
            const msg = parseBody(imgUrl, body)
            //
            saveToOTS(msg, callback);

        });
    } catch (err) {
        callback(null, err);
    }
};

parseBody = function(imgUrl, body) {

    body = JSON.parse(body);
    //face_rect [left, top, width, height],
    const idx = parseInt(10 * Math.random() % 4);
    const age = (parseInt(body.age[0])) + "岁";
    const expression = (body.expression[0] == "1") ? config.happy[idx] : config.normal[idx];
    const gender = (body.gender[0] == "1") ? "帅哥" : "靓女";
    const glass = (body.glass[0] == "1") ? "戴眼镜" : "火眼金睛";

    return {
        "imgUrl": imgUrl,
        "gender": gender,
        "faceRect": body.face_rect.join(","),
        "glass": glass,
        "age": age,
        "expression": expression
    };
}

//pub msg to WebApp by IoT
iotPubToWeb = function(payload, cb) {
    co(function*() {
        try {
            //创建设备
            var iotResponse = yield iotClient.request("Pub", {
                ProductKey: config.productKey,
                TopicFullName: config.topicFullName,
                MessageContent: new Buffer(JSON.stringify(payload)).toString("base64"),
                Qos: 0
            });
        } catch (err) {
            console.log("iotPubToWeb err" + JSON.stringify(err))
        }

        cb(null, payload);
    });
}

saveToOTS = function(msg, cb) {

    var ots_data = {
        tableName: config.tableName,
        condition: new TableStore.Condition(TableStore.RowExistenceExpectation.IGNORE, null),

        primaryKey: [{ deviceId: "androidPhoto" }, { id: TableStore.PK_AUTO_INCR }],

        attributeColumns: [
            { "imgUrl": msg.imgUrl },
            { "gender": msg.gender },
            { "faceRect": msg.faceRect },
            { "glass": msg.glass },
            { "age": msg.age },
            { "expression": msg.expression }
        ],

        returnContent: { returnType: TableStore.ReturnType.Primarykey }
    }

    otsClient.putRow(ots_data, function(err, data) {

        iotPubToWeb(msg, cb);
    });
}

makeDataplusSignature = function(options) {

    const md5Body = crypto.createHash("md5").update(new Buffer(options.body)).digest("base64");

    const stringToSign = "POST
application/json
" + md5Body + "
application/json
" + options.headers.Date + "
/face/attribute"
    // step2: 加密 [Signature = Base64( HMAC-SHA1( AccessSecret, UTF-8-Encoding-Of(StringToSign) ) )]
    const signature = crypto.createHmac("sha1", config.secretAccessKey).update(stringToSign).digest("base64");

    return "Dataplus " + config.accessKeyId + ":" + signature;
}
5.2 config.js配置文件
module.exports = {
    accessKeyId: "账号ak",
    secretAccessKey: "账号ak secret",
    iotEndpoint: "https://iot.cn-shanghai.aliyuncs.com",
    iotApiVersion: "2018-01-20",
    productKey: "web大屏产品pk",
    topicFullName: "web大屏订阅识别结果的topic",

//可选,如果不保存结果,不需要ots
    otsEndpoint: "ots接入点",
    otsInstance: "ots实例",
    tableName: "ots结果存储表",
}
6. Web端App开发




    
    阿里云IoT
    



    
7. 拍照指令触发器
/**
 * package.json 添加依赖:"@alicloud/pop-core": "1.5.2"
 */
const co = require("co");
const RPCClient = require("@alicloud/pop-core").RPCClient;

const options = {
    accessKey: "替换ak",
    accessKeySecret: "替换ak Secret",
};

//1.初始化client
const client = new RPCClient({
    accessKeyId: options.accessKey,
    secretAccessKey: options.accessKeySecret,
    endpoint: "https://iot.cn-shanghai.aliyuncs.com",
    apiVersion: "2018-01-20"
});

const params = {
    ProductKey: "a1p35XsaOS7",
    TopicFullName: "相机指令topic",
    MessageContent: new Buffer("{"action":"takephoto"}").toString("base64"),
    Qos: "0"
};

co(function*() {
    try {
        //3.发起API调用
        const response = yield client.request("Pub", params);
        console.log(JSON.stringify(response));
    } catch (err) {
        console.log(err);
    }
});

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