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This server of Dahua can analyze flows of images such as structural data and store them in a distributed database. Also, your comparison of images search engine supports fuzzy search of mass data.

Dahua DHI-IVS-F7500-P

Dahua Technology He has presented the DHI-IVS-F7500-P distributed facial recognition server, an equipment designed for his application of urban video surveillance, the safety of the streets and the traffic management, as well as for the commercial analysis of supermarkets.

As a platform for management of faces massive data, DHI-IVS-F7500-P server can analyze flows of images such as structural data and store them in a distributed database. Also, your comparison of images search engine supports fuzzy search of mass data of human faces, providing results in a matter of seconds.

Compatible with the integrated high performance GPU P4 module and advanced algorithms of learning deep Dahua, It can detect human faces with superior precision to the 90%. This is joined by their facial features detailed age. genus, expression and glasses that help to identify the subtle individual difference. Also, It is compatible with the search for images of multiple people and orders by similarity, According to the time and location information, providing a convenient way to retrieve.

Comparison of static and dynamic

After collecting data from the face, the recognition of faces of Dahua Server offers comparison of static and dynamic images.

The dynamic comparison supports the transmission of images of 100 channels in real time (about 8,5 millions of images processing) and 300.000 comparisons of face control; While the static comparison admits a comparison of 30 millions of images.

For better compatibility with the comparison of faces, This face recognition server optimizes the storage capacity of 300.000 images from its database registered for wanted persons alerts. Also, You can add, delete, modify and keep personal information in the library registered if you need to change something, and it also allows import/export by batches of images and the compressed library file.

Through the identification of offenders through the detection and accurate comparison of faces, the offers proactive protection to create a safer social environment until an incident occurs.


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By • 17 Jul, 2018
• Section: Detection