wget --no-check-certificate https://curl.se/download/curl-7.71.1.tar.bz2
执行:
wget https://ftp.openssl.org/source/old/1.1.1/openssl-1.1.1i.tar.gz
报错:
解决wget错误:
wget --no-check-certificate https://ftp.openssl.org/source/old/1.1.1/openssl-1.1.1i.tar.gz
解压、配置、编译并安装
tar -xzf openssl-1.1.1i.tar.gz
cd openssl-1.1.1i/
./config
make -j4
sudo make install
因为祥云后台所要求的图片大小在200k左右
拍照的关键指令:
raspistill -q 5 -t 1 -o image.jpg
由于翔云人脸识别次数有限,无法通过每个一段时间拍一次照片,而是采用语音控制开启摄像头线程,识别到人脸就进行拍照,需要用到motion库的人脸识别和拍照指令
if(strcmp("OCR",CmdHandler->command) == 0){
pthread_t cameraThread;
pthread_create(&cameraThread,NULL,cameraThread_func,NULL);
return; //执行拍照就不往下走了,返回
}
void *cameraThread_func(void* data)//起线程的函数有格式要求
{
struct Devices *cameraTemp;
cameraTemp = findDeviceByNum(pDeviceHead, "c1"); //摄像头的设备编号为c1
if(cameraTemp == NULL){ //防止段错误的必需判断
printf("find camera error\n");
pthread_exit(NULL); //在线程中不用return
}
cameraTemp->justDoOnce(); //调用设备的justDoOnce函数
}
#include "controlDevice.h" //自定义设备类的文件
#include
#include
#include
#include
#include
#include
#include
size_t readData(void *ptr, size_t size, size_t nmemb, void *stream)
//回调函数,把从后台的数据拷贝给ocrRetBuf
{
strncpy(ocrRetBuf,ptr,1024);
}
char* getFace()
{
printf("人脸数据采集中...\n");
system("raspistill -q 5 -t 1 -o image.jpg");//关键命令
while(access("./image.jpg",F_OK) != 0); //判断是否拍照完毕
printf("数据采集完毕\n");
char* base64BufFaceRec = getBase64FromFile("./image.jpg");
system("rm image.jpg"); //采集完成删除,防止占内存
return base64BufFaceRec; //返回刚才拍照的base64
}
char * getBase64FormFile(char * filePath){
char *baseBuff =NULL;
char cmd[256] = {'\0'};
sprintf(cmd,"base64 %s >tmpFile",filePath);
system(cmd);
int fp = open("./tmpFile",O_RDWR);
int fileLen = lseek(fp,0,SEEK_END);
baseBuff = (char *)malloc(fileLen+8);
lseek(fp,0,SEEK_SET);
memset(baseBuff,'\0',fileLen+8);
read(fp,baseBuff,fileLen+8);
close(fp);
system("rm -rf tmpFile");
return baseBuff;
}
void postUrl()
{
CURL *curl;
CURLcode res;
//分开定义,然后字符串拼接
char* key = "xxx";
char* secret = "xxx";
int typeId = 21;
char* format = "xml";
char* base64BufPic1 = getFace();//摄像头拍照获取的照片
char* base64BufPic2 = getBase64FromFile("./Your photo.jpg");//个人照片
int len = strlen(key)+strlen(secret)+strlen(base64BufPic1)+strlen(base64BufPic2)+128;//分配空间不够会>导致栈溢出
char* postString = (char* )malloc(len);
memset(postString,'\0',len);//因为postString是一个指针,不能用sizeof来计算其指向的大小
sprintf(postString,"img1=%s&img2=%s&key=%s&secret=%s&typeId=%d&format=%s",base64BufPic1,base64BufPic2,key,secret,typeId,format);//根据平台的传参格式编写
curl = curl_easy_init();
if(curl){
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, postString); //指定post内容,传入参数
curl_easy_setopt(curl, CURLOPT_URL, "https://netocr.com/api/faceliu.do");// 指定url
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION,readData); //回调函数readDate读取返回值
res = curl_easy_perform(curl); //类似于状态码
printf("OK:%d\n",res);
if(strstr(ocrRetBuf,"否") != NULL){ //判断翔云后台返回的字符串中有没有“是”
printf("不是同一个人\n");
}
else{
printf("是同一个人\n");//这里识别成功,去开锁!
}
curl_easy_cleanup(curl);
}
}
struct Devices camera = {
.name = "camera",
.serialNum = "c1",
.justDoOnce = postUrl,
.deviceInit = cameraInit,
};
struct Devices* addCameraToDeviceLink(struct Devices *phead) //餐厅灯(对象)加入设备链表函数
{
if(phead == NULL){
return &camera;
}else{
camera.next = phead; //以前的头变成.next
phead = &camera; //更新头
return phead;
}
}
#include //wiringPi库
#include
#include
extren char ocrRetBuf[1024] = {'\0'};//全局变量,用来接收从OCR后台返回的数据
struct Devices //设备类
{
char deviceName[128]; //设备名
int status; //状态
int pinNum; //引脚号
int (*Init)(int pinNum); //“初始化设备”函数指针
int (*open)(int pinNum); //“打开设备”函数指针
int (*close)(int pinNum); //“关闭设备”函数指针
int (*readStatus)(int pinNum); //“读取设备状态”函数指针 为火灾报警器准备
int (*changeStatus)(int status); //“改变设备状态”函数指针
int (*justDoOnce)(); //调库人脸识别函数指针
struct Devices *next;
};
struct Devices* addBathroomLightToDeviceLink(struct Devices *phead); //“浴室灯”加入设备链表函数声明
struct Devices* addBedroomLightToDeviceLink(struct Devices *phead); //“卧室灯”加入设备链表函数声明
struct Devices* addRestaurantLightToDeviceLink(struct Devices *phead); //“餐厅灯”加入设备链表函数声明
struct Devices* addLivingroomLightToDeviceLink(struct Devices *phead); //“客厅灯”加入设备链表函数声明
struct Devices* addSmokeAlarmToDeviceLink(struct Devices *phead); //“烟雾报警器”加入设备链表函数声明
struct Devices* addBuzzerToDeviceLink(struct Devices *phead); //“蜂鸣器”加入设备链表函数声明
struct Devices* addCameraToDeviceLink(struct Devices *phead); //“人脸识别”加入设备链表函数声明
参考博文:智能家居 (11) ——树莓派摄像头捕捉人脸并识别
这种方式不开启线程,而是通过语音识别执行拍照,上传到翔云服务器放回对比结果,只需要用到拍照指令
#include "controlDevice.h"
#include
#include
#include
#include
#include
#include
#include
#include
typedef unsigned int bool;//数据类型别名用typedef 有分号
#define true 1 //宏定义(替换)用define 无冒号
#define false 0
size_t readData(void *ptr, size_t size, size_t nmemb, void *stream)
{
strncpy(ocrRetBuf,ptr,1024);
}
char* getBase64FromFile(char* filePath)
{
char* base64Buf = NULL;
char cmd[256] = {'\0'};
sprintf(cmd,"base64 %s > tmpFile",filePath);//图片的base64流导入到文件中
system(cmd);
int fd = open("./tmpFile",O_RDWR);
int fileLen = lseek(fd,0,SEEK_END); //计算文件大小
lseek(fd,0,SEEK_SET);
base64Buf = (char* )malloc(fileLen+8);
memset(base64Buf,'\0',fileLen+8);
read(fd,base64Buf,fileLen+8); //从文件中读取base64流到字符串
close(fd);
system("rm -f tmpFile");
return base64Buf;
}
char* getFace()
{
printf("人脸数据采集中...\n");
system("raspistill -q 5 -t 1 -o image.jpg");
while(access("./image.jpg",F_OK) != 0); //判断是否拍照完毕
printf("数据采集完毕\n");
char* base64BufFaceRec = getBase64FromFile("./image.jpg");
system("rm image.jpg"); //采集完成删除,防止占内存
return base64BufFaceRec; //返回刚才拍照的base64
}
bool postUrl() //根据文档,接口调用方法为post请求
{
CURL *curl;
CURLcode res;
//根据翔云平台的接口要求 分开定义,然后字符串拼接
char* base64BufPic1 = getFace();//图片base64流
char* base64BufPic2 = getBase64FromFile("./zms.jpg");
char* key = "xxxx";
char* secret = "xxxx";
int typeId = 21;
char* format = "xml";
int len = strlen(key)+strlen(secret)+strlen(base64BufPic1)+strlen(base64BufPic2)+128;
char* postString = (char* )malloc(len);
memset(postString,'\0',len);//因为postString是一个指针,不能用sizeof来计算其指向的大小
//字符串拼接函数
sprintf(postString,"img1=%s&img2=%s&key=%s&secret=%s&typeId=%d&format=%s",base64BufPic1,base64BufPic2,key,secret,typeId,format);
curl = curl_easy_init();
if(curl){
//curl_easy_setopt(curl, CURLOPT_COOKIEFILE, "/tmp/cookie.txt");// 指定cookie缓存文件
curl_easy_setopt(curl, CURLOPT_POSTFIELDS, postString);//指定post传输内容,get请求将URL和postString一次性发送
curl_easy_setopt(curl, CURLOPT_URL, "https://netocr.com/api/faceliu.do");// 指定url
curl_easy_setopt(curl, CURLOPT_WRITEFUNCTION,readData); //回调函数读取返回值
res = curl_easy_perform(curl);
printf("OK:%d\n",res);
curl_easy_cleanup(curl);
}
return true;
}
struct Devices camera = {
.deviceName = "camera",
.justDoOnce = postUrl
};
struct Devices* addCameraToDeviceLink(struct Devices *phead)
{
if(phead == NULL){
return &camera;
}else{
camera.next = phead; //以前的头变成.next
phead = &camera; //更新头
return phead;
}
}
#include
#include
#include //wiringPi库
extern char ocrRetBuf[1024];
struct Devices //设备类
{
char deviceName[128]; //设备名
int status; //状态
int pinNum; //引脚号
int (*Init)(int pinNum); //“初始化设备”函数指针
int (*open)(int pinNum); //“打开设备”函数指针
int (*close)(int pinNum); //“关闭设备”函数指针
int (*readStatus)(int pinNum); //“读取设备状态”函数指针 为火灾报警器准备
int (*changeStatus)(int status); //“改变设备状态”函数指针
void (*justDoOnce)();
struct Devices *next;
};
struct Devices* addBathroomLightToDeviceLink(struct Devices *phead); //“浴室灯”加入设备链表函数声明
struct Devices* addBedroomLightToDeviceLink(struct Devices *phead); //“卧室灯”加入设备链表函数声明
struct Devices* addRestaurantLightToDeviceLink(struct Devices *phead); //“餐厅灯”加入设备链表函数声明
struct Devices* addLivingroomLightToDeviceLink(struct Devices *phead); //“客厅灯”加入设备链表函数声明
struct Devices* addSmokeAlarmToDeviceLink(struct Devices *phead); //“烟雾报警器”加入设备链表函数声明
struct Devices* addBuzzerToDeviceLink(struct Devices *phead); //“蜂鸣器”加入设备链表函数声明
struct Devices* addCameraToDeviceLink(struct Devices *phead);
在main.c文件Command(struct InputCommand* CmdHandler)函数添加
if(strcmp("OCR",CmdHandler->command) == 0){
tmp = findDeviceByName("camera",pdeviceHead);
if(tmp != NULL){
tmp->justDoOnce();
if(strstr(ocrRetBuf,"否") != NULL){ //字符串检索 判断翔云后台返回的一大堆字符串中有没有“否”
printf("人脸比对失败\n");
}else{
printf("人脸比对成功\n");
//可以将开锁开灯等函数添加在此处
}
}
}
编译:
gcc *.c -lwiringPi -lwiringPiDev -lpthread -lm -lcrypt -lrt -I ../https/curl-7.71.1/_install/include/ -L ../https/curl-7.71.1/_install/lib/ -lcurl