Suspicious Person Detection: How is it Achieved in AI Video Analytics?
Güvenlik, günümüzün en kritik önceliklerinden biri hâline geldi. Özellikle kamusal alanlarda, üretim tesislerinde, havaalanlarında veya alışveriş merkezlerinde insan gözüyle her detayı takip etmek artık mümkün değil. Yapay zekâ destekli video analiz sistemleri insan gözünün ötesine geçerek, mevcut güvenlik kameralarına entegre yapısıyla tam bu noktada devreye giriyor. Yapay zekâ video analiz sistemleri, 7/24 çalışır durumda olan mevcut güvenlik kameralarınıza entegre olarak, insan gözünün sürekli takip yapmasına gerek kalmadan şüpheli şahıs tespiti gerçekleştiriyor ve şüpheli davranışları anında tespit ediyor. Böylece güvenlik ekipleri bir olay meydana gelmeden ya da olay oluşuru oluşmaz anında müdahale şansı yakalıyor. Peki şüpheli şahıs tespiti nasıl çalışır? Yapay zekâ video analizi nedir? Veri gizliliği nasıl etkilenir? Detaylar blog yazımızın devamında!
What is AI Video Analytics?
AI video analytics is a technology that processes real-time or recorded video footage to identify specific events, movements, or individuals. Images are analyzed by algorithms by AI agents (referred to as AI agents) for object recognition, motion analysis, and behavior modeling. This way, your existing security cameras do not just record footage; they proactively detect risky situations.
How Does Suspicious Person Behaviour Detection Work?
Suspicious person detection is generally achieved through three core AI components:
1. Facial Recognition
Artificial intelligence compares the images from the camera with the facial data registered in the database. Individuals with a high matching rate are automatically reported to the security team. These systems are highly effective in identifying people on a watchlist.
2. Behavioral Analytics
AI can detect a person’s “abnormal” movements. For example, behaviors such as lingering in the same spot for a long time, heading toward a restricted area, exhibiting aggressive movements, or moving against the flow of the crowd are classified as suspicious person behaviour.
3. Clothing and Object Detection
Artificial intelligence also analyzes physical characteristics such as clothing color, bag type, or objects being carried. These features provide great convenience in post-incident search and investigation processes.
Real-Time Alert and Intervention
Suspicious person detection is not limited to analysis; the system sends instant alerts, allowing security teams to respond quickly to the scene. Thus, precautions can be taken before an event occurs. Especially in large facilities and city monitoring centers, this feature significantly reduces incident management times.
Data Privacy and Ethical Boundaries
As with any analysis performed with artificial intelligence, suspicious person detection must be conducted within the framework of ethical rules and KVKK/GDPR principles. Using the data solely for security purposes, destroying records within specified periods, and protecting personal rights enhances the system’s reliability.
Smart Security with ODYA Image Processing Technologies
ODYA Teknoloji’s Video Analytics and Surveillance solutions automate suspicious person detection processes with AI-powered analysis algorithms.
Through real-time monitoring, facial recognition, behavioral analysis, and event-based alert mechanisms, institutions achieve more proactive, faster, and secure security management.