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With the development of modern society, people hope to improve safety through scientific and technological means to ensure the safety of life and property. As a technical means based on computer science, real-time security monitoring system has been widely used in various occasions, such as communities, shopping malls, factories, etc. This article will focus on technical research on how to use PHP language to implement a real-time security monitoring system.
1. Technical Analysis
1. Video stream collection
In the real-time security monitoring system, the most important thing is the collection of video streams. There are two commonly used methods: one is to use a camera to directly capture the video stream, and the other is to obtain the video stream from the cloud. Either way, PHP makes it easy. When using a camera to directly capture the video stream, we can use PHP's image processing library (such as the GD library) to process the video and extract the required information. When obtaining the video stream from the cloud, we can use PHP's curl function.
2. Video stream processing
After obtaining the video stream, it needs to be processed. The processing process mainly has the following steps:
(1) Convert the video stream into a picture sequence. The video stream is composed of a series of picture frames, and we need to convert them all into picture sequences for processing.
(2) Analyze and compare image sequences. Analyze the image sequence, analyze the different parts, and compare them to find the area that needs to be alarmed.
(3) Transmit alarm information to users. Process alarm information, such as sending alarm emails or text messages, etc.
3. User information storage
The real-time security monitoring system needs to store user information, such as user name, phone number, email address, etc. Relational databases such as MySQL can be used for storage.
2. System design
1. System architecture
The system architecture of the real-time security monitoring system is shown in Figure 1:
Figure 1 Real-time security monitoring System architecture
2. System process
The main process of the real-time security monitoring system is shown in Figure 2:
Figure 2 The main process of the real-time security monitoring system
3. Programming Implementation
The following is the PHP programming implementation of the real-time security monitoring system.
1. Video stream collection
Adopt the first method, use the Web camera to directly obtain the video stream. In PHP, we can use the following code to achieve:
$videourl = 'http://xxx.xxx.xxx.xxxxxx';
$img = imagecreatefromjpeg($videourl);
imagejpeg ($img, 'test.jpg');
2. Video stream processing
Video stream processing is the most complex part of the entire system. The processing process is divided into three steps, see the following code for details:
//Convert the video stream into a picture sequence.
function video_to_images($video_path) {
$ffmpeg = "/usr/local/bin/ffmpeg";
if (!is_dir(dirname($video_path) . "/video_images/")) {
mkdir(dirname($video_path) . "/video_images/");
}
$video = $video_path;
$image = dirname($video_path) . "/video_images/frame d. jpg";
$interval = 2;
$cmd = "$ffmpeg -i $video -r 1/$interval $image";
exec($cmd);
}
//Picture sequences are analyzed and compared.
function analysis_images() {
$images_path = dirname(__FILE__) . "/video_images/";
$files = scandir($images_path);
$images = array();
foreach ($files as $file) {
if ($file == "." || $file == "..") continue;
$img = new Imagick($images_path . $file);
$colors = $img->getImageColors();
for ($i = 0; $i < $colors; $i ) {
$color = $img->getImagePixelColor($ i, 0);
$hex = $color->getColor();
$images[$file][$i] = $hex;
}
}
//Compare the image sequence to find the area that needs to be alarmed.
$result = array();
foreach ($images as $key => $image) {
$prev_image = $images[$key - 1];
if (!$prev_image ) continue;
foreach ($image as $k => $v) {
if ($v != $prev_image[$k]) {
$result[$key][$k] = $v;
}
}
}
return $result;
}
//Transmit alarm information to the user.
function send_message() {
$message = "Alert! Anomaly detected!";
$phone = '15512345678';
$email = 'test@163.com';
//Send alert SMS
$ch = curl_init();
$url = "http://api.sms.com/send_message.json?phone=$phone&message=$message&token=xxxxxxxxxxx";
curl_setopt($ch, CURLOPT_URL, $url);
curl_setopt($ch, CURLOPT_RETURNTRANSFER, 1);
$response = curl_exec($ch);
curl_close($ch);
// Send alert email
$mail = new PHPMailer();
$mail->isSMTP();
$mail->Host = 'smtp.163.com';
$mail- >SMTPAuth = true;
$mail->Username = 'test@163.com';
$mail->Password = 'password';
$mail->SMTPSecure = 'ssl ';
$mail->Port = 465;
$mail->setFrom('test@163.com', 'test');
$mail->addAddress($email, 'demo');
$mail->isHTML(true);
$mail->Subject = 'Alert! Anomaly detected! ';
$mail->Body = '
3. User information storage
The code for using MySQL to store user information is as follows:
//Storage user information in the database.
function save_user($obj) {
$mysqli = new mysqli('127.0.0.1', 'root', 'password', 'test');
if ($mysqli->connect_errno) {
echo "Failed to connect to MySQL:" . $mysqli->connect_error;
exit();
}
$sql = "INSERT INTO user (name, phone, email) VALUES (' {$obj['name']}', '{$obj['phone']}', '{$obj['email']}')";
$mysqli->query("SET NAMES 'UTF8'");
$res = $mysqli->query($sql);
$mysqli->close();
return $res;
}
4. System Test
After programming is implemented, we need to test the system to ensure its stability and reliability. The test method is as follows:
1. Use the camera to obtain the video stream and check whether it can be collected correctly.
2. Process the collected video stream and detect whether the system can correctly process the image sequence.
3. Transmit the alarm information to the user and check whether the system can transmit the information correctly.
4. Store user information in the database and check whether the system can store it correctly.
After testing, the PHP programming of the real-time security monitoring system was successfully implemented.
5. Summary
This article introduces the technical research on how to use PHP language to implement real-time security monitoring system, including video stream collection, video stream processing and user information storage. Through programming and testing, we have proven that this method is stable and reliable. In the future, with the continuous development of technology, monitoring systems will become more intelligent and efficient.
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