Overview

The NVR is a powerful network video recorder with 4K resolution processing and excellent recording quality, ideal for IP video surveillance applications. It can be used as edge, central, or backup storage and offers intuitive remote management and control. With a built-in deep learning module, this NVR uses deep learning algorithms to achieve high-precision human face recognition and perimeter protection, improving event response time and making video actionable. It is compatible with third-party devices, making it a great solution for surveillance systems that work independently of a video management system (VMS).

Perimeter Protection

Filtering out false alarms caused by animals, rustling leaves, bright lights, etc. automatically improves the alarm accuracy and enables the system to perform secondary recognition for the targets.

Face Recognition

Face Recognition technology extracts the features of captured faces and compares them with that in face database to recognize the person identity.

SMD Plus

Smart Motion Detection technology uses an intelligent algorithm to classify the targets that activate motion detection. By filtering out motion detection alarms triggered by non-relevant targets, it achieves effective and precise alerts.

Video Metadata

Video Metadata technology employs a deep learning algorithm to identify, monitor, and capture vehicles, non-motor vehicles, and people. It then selects the most useful images and extracts relevant attributes.

ANPR by Camera

ANPR technology utilizes a deep learning algorithm to identify the number plate information of vehicles captured by ANPR cameras. It also supports block/allowlist mode and allows searching for target vehicles from recorded video.

People Counting by Camera

People Counting technology utilizes deep learning to accurately track and analyze moving human targets, providing statistics for entry, exit, and area occupancy. It generates customizable reports when paired with a management platform.

Stereo Analysis by Camera

Stereo Analysis technology employs a deep learning algorithm and scene 3-dimensional information to recognize people’s behaviors, such as falling, violence, loitering, and unusual space occupation. It generates alarm signals and triggers appropriate responses.