Intrusion Detection
Based on detection algorithms, determines the relationship between targets and regions, generating alerts for entering or leaving designated areas as configured by users
Algorithm Introduction
Based on detection algorithms, determines the relationship between targets and regions, generating alerts for entering or leaving designated areas as configured by users
Applications
Park monitoring, construction site monitoring, security monitoring, etc.
Core Advantages
Comprehensive Scene Coverage
Overcomes lighting changes and viewing angle effects to achieve precise detection in large-scale scenarios such as airports, railways, and parks
Comprehensive Detection Categories
Uses AI-based detection models to distinguish and detect intrusion behaviors of humans, vehicles, non-motorized vehicles, pets, or other objects of interest at fine-grained category levels
High Detection Accuracy
Deep learning models optimized through continuous learning can effectively filter environmental interference (such as wind, rain, and vegetation movement), achieving detection rates above 98% with extremely low false alarm rates
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