For this, smart or AI features such as person and vehicle detection are invaluable. They support the camera understand the footage before logging it down.
AI security cameras are transforming modern smart home security by analyzing live video feeds in real time to detect unusual activity with high accuracy. Using advanced convolutional neural networks, these systems can distinguish between humans, pets, and objects, reducing false alarms while improving response speed.

AI security cameras rely heavily on deep learning models that process video streams frame by frame to identify objects and movements. Using convolutional neural networks, these systems extract key visual features such as shape, motion, and spatial positioning to classify what appears in the frame.

According to research by IDC and other institutions, as the requirements for intelligentization and safety compliance of commercial vehicles and construction machinery increase, multi-camera vision systems have become a core vehicle configuration. In-vehicle display systems are evolving toward an "AI Human Machine Interface" human-machine interaction paradigm. As an crucial component of STONKAM AI Human Machine Interface system, the STONKAM AI 360° Surround View System precisely meets scenario requirements, delivering a comprehensive solution for driving and operational safety under complex working conditions.

Across various driving and operational scenarios, blind spots and limited visibility remain key factors affecting safety and efficiency. Drivers often struggle to fully understand real-time surroundings—especially during turning, reversing, or navigating complex environments—where blind zones become more critical. As a result, more fleets are adopting AI 360° Surround View Systems to improve visibility and operational awareness.
Modern security camera systems can utilize accurate motion detection. This eliminates false positives and minimizes unnecessary alerts sent your way.
As object classification accuracy improves through machine learning models, smart surveillance systems are becoming more reliable and responsive. With advanced behavioral anomaly detection, AI-powered cameras can identify suspicious movement patterns, helping homeowners detect potential intrusions before they escalate.