A New Surveillance and Security Alert System Based on Real-Time Motion Detection

Abstract

Due to the frequent and widespread instances of burglary, effective and accurate intrusion detection with an alarm system is now necessary. In this study, the proposed system is used for secret and vital places that need a good monitoring system based on human motion detection. The system can protect museums that contain critical historical objects and libraries with old historical books. The security alert system is also essential to the protection of banks. The system uses a two-frame difference algorithm and a simple background modeling algorithm for motion detection with the help of AForge.NET. Whenever the system detects motion, it interprets the frames of motion to determine humans by using YOLO. The security alert system activates the alerts whenever it detects human motion, like sending an email to an authorized person, triggering the LED alert and sound alert, recording a video of that place, taking a motion picture, and saving it within the databases. The system has the advantages of low cost, a user-friendly interface, and high security. The system was thoroughly tested to detect human movement in unauthorized areas. The system successfully detected human activity indoors and outdoors and activated the alarms. Also, the system could detect human movement in all four directions and alert observers directly at the time of the incident. In low light or minimum illumination, the system can determine human motion. The evaluation results showed that the system's accuracy in detecting human movement was 95%, which shows that the system is able to protect vital and secret places and can successfully monitor areas.

Keywords

• Human motion detection
• security alert system
• YOLO
• camera assisted security
• Surveillance system

GERÇEK ZAMANLI HAREKET ALGILAMAYA DAYALI BİR GÖZETİM VE GÜVENLİK UYARI SİSTEMİ

Abstract

Hırsızlık olaylarının sık ve yaygın olması nedeniyle, artık bir alarm sistemiyle etkin ve doğru izinsiz giriş tespiti gereklidir. Bu çalışmada önerilen sistem, insan hareket algılamaya dayalı iyi bir izleme sistemine ihtiyaç duyan gizli ve hayati yerler için kullanılmıştır. Sistem, kritik tarihi objeler içeren müzeleri ve eski tarihi kitapların bulunduğu kütüphaneleri koruyabilir. Güvenlik uyarı sistemi, bankaların korunması için de gereklidir. Sistem, AForge.NET yardımıyla hareket algılama için iki çerçeveli bir fark algoritması ve basit bir arka plan modelleme algoritması kullanır. Sistem hareket algıladığında, YOLO kullanarak insanları belirlemek için hareket çerçevelerini yorumlar. Güvenlik uyarı sistemi, yetkili bir kişiye e-posta gönderme, LED uyarı ve sesli uyarıyı tetikleme, o yerin videosunu kaydetme, hareketli görüntü çekme ve veritabanlarına kaydetme gibi insan hareketlerini algıladığında uyarıları etkinleştirir. Sistem, düşük maliyet, kullanıcı dostu arayüz ve yüksek güvenlik avantajlarına sahiptir. Sistem, yetkisiz alanlarda insan hareketini tespit etmek için kapsamlı bir şekilde test edildi. Sistem, iç ve dış mekanlarda insan faaliyetlerini başarıyla tespit etti ve alarmları etkinleştirdi. Ayrıca sistem, dört yöndeki insan hareketini algılayabilir ve gözlemcileri olay anında doğrudan uyarabilir. Düşük ışıkta veya minimum aydınlatmada, sistem insan hareketini belirleyebilir. Değerlendirme sonuçları, sistemin insan hareketini algılamadaki doğruluğunun %95 olduğunu, bu da sistemin hayati ve gizli yerleri koruyabildiğini ve alanları başarılı bir şekilde izleyebildiğini gösteriyor.

Keywords

• İnsan hareket algılama
• güvenlik uyarı sistemi
• YOLO
• kamera destekli güvenlik

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