Perimeter Protection with a Large-Scale AI Model

Experience ultimate alarm accuracy the
moment you set the system up

Challenges to video-based perimeter protection

False or missed alarms due to environmental interference

Non-target triggers like birds, leaves, or shadows often cause false alarms, while real threats may be missed due to complex environmental factors

Difficulty in quickly improving alarm accuracy

Traditional systems lack adaptive capabilities, making it hard to rapidly optimize detection performance and reduce false alerts

Inconsistent alarm accuracy across scenarios

Detection reliability varies between different environments, leading to unstable security performance

Hikvision’s technology evolution

To address these challenges, Hikvision has consistently made efforts in the research and development of technologies to enable more precise, efficient, and adaptable perimeter protection.

Yet, it was only after implementing Hikvision’s large-scale AI models that we were able to create the optimal algorithm or model for perimeter protection.

Where to use perimeter protection with a large-scale AI model？

Why perimeter protection with a large-scale AI model？

More pre-training, higher accuracy

As the algorithm's complexity and capacity increase through advanced pre-training, its accuracy also improves dramatically.

Optimal performance upon deployment

Experience high-accuracy alarms the moment you set the system up. There is no need to enhance the alarm accuracy as the algorithm performs optimally by default.

The one-size-fits-many solution

Enjoy effortless scenario adaptation brought by the large-scale AI model. The algorithm is ready for deployment in scenarios with varied conditions.