Dahua’s powerful Artificial Intelligence technology enables faster video content inquiry and rapid discovery of target objects. This opens up new possibilities for danger prevention, along with real-time alerts for the video surveillance industry.

IVSS combines deep-learning algorithms, industrial grade GPUs, and advanced network video recorder into an all-in-one Artificial Intelligence server. The integrated GPU module and advanced deep-learning algorithms perform powerful video structure analysis using metadata, achieving precise facial analysis. Powered by a dual-core Intel processor, IVSS supports up to 4 channels of real-time facial recognition based on 20 face libraries with 100,000 face images each.

IVSS supports a stranger detection mode to identify intruders which triggers alarms when a face not stored in the database is detected. IVSS also supports a similarity threshold, which triggers an alarm when a face does not meet the minimum similarity level. The stranger mode and the similarity threshold were designed for critical infrastructure sites, where access control is of vital importance.

The all new GUI of IVSS features a unified design for local and remote users, greatly improving usability, and making it friendly and familiar to project level customers. The unified GUI also helps significantly cut down the training cost and time of system operators, and the addition of an independent PC client for remote access saves worries about browser compatibility and plug-ins.

The IVSS NVR is ideal for applications that require entry/exit management, where knowing who is coming and going is a valuable asset, such as business parks, schools, banks, prisons and so on.

For system integrators IVSS has lower complexity, better cost-to-performance, and fewer operator training requirements. As for users, IVSS improves real-time monitoring efficiency, while providing an easy and efficient approach to pinpoint when and where a person of interest appeared.