Dahua DHI-IVS-F7500-P: distributed facial recognition server

This Dahua server can analyze image streams as structural data and store them in a distributed database. In addition, its image comparison search engine supports fuzzy search for big data.

Dahua Technology has introduced the distributed facial recognition server DHI-IVS-F7500-P, a computer designed for your urban video surveillance application, the management of street and traffic safety, as well as for the commercial analysis of supermarkets.

As a massive data face management platform, the DHI-IVS-F7500-P server can analyze image streams as structural data and store it in a distributed database. In addition, its image comparison search engine supports fuzzy search for massive data of human faces, delivering results in a matter of seconds.

Compatible with Dahua's integrated high-performance P4 GPU module and advanced deep learning algorithms, can detect human faces with greater accuracy than 90%. To this are joined its detailed facial characteristics such as age. Gender, expression and glasses that help identify the subtle individual difference. In addition, supports searching for images of multiple people and orders by similarity, according to time and location information, providing a convenient way to recover.

Static and dynamic comparison

After collecting the face data, Dahua's face recognition server offers comparison of static and dynamic images.

Dynamic comparison supports streaming images of 100 real-time channels (Approximately 8,5 millions of processing images) And 300.000 face control comparisons; while the static comparison supports a comparison of 30 millions of images.

For better compatibility with face comparison, this face recognition server optimizes the storage capacity of 300.000 images from your database registered for searched person alerts. In addition, you can add, eliminate, modify and query personal information in the registered library if something needs to be changed, and also allows batch import/export of images and compressed library file.

By identifying offenders through accurate face detection and comparison, the offers proactive protection to create a safer social environment before an incident occurs.

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