Real-time surveillance systems ensure the immediate identification of security threats, face detection, and behavioral analysis using AI support. Critical functions such as motion tracking, suspicious behavior analysis, and smoke/flame detection increase both security and operational efficiency. Furthermore, this system can generate fraud warnings (fraud alarms) by using camera feeds over the counter and utilizing CNN (Convolutional Neural Network) architectures. The system can be integrated into self-service cash registers (POS) and similar devices to provide automatic control while detecting unexpected or incorrect product check-out.
High-accuracy detection and recognition in live video streams.
Predicting security breaches by analyzing movement patterns.
Immediate detection of smoke and flame formation using special AI algorithms.
Reduces the workload of security personnel.
Minimizes false alarms thanks to AI algorithms.
Easily adaptable to different environments and sectors.
Provides the capability to instantly detect threats and intervene quickly.
