TRASSIR has taken part in the major security international expo Security China 2018
Date: 2018/11/16
TRASSIR has taken part in the 2018 edition of Security China, a major international security exhibition.

During the expo TRASSIR has been showcasing its latest developments in the field of neural network Analytics. New solutions use sophisticated algorithms and show high efficiency performing the tasks of detecting human presence in the frame and facial recognition.

The primary focus was on business and security solutions. Visitors could get acquainted with TRASSIR solutions designed to solve problems in the field of retail, HoReCa, real estate and production.

Everyone could see the work of the intelligent Video Analytics performing face analysis and recognition right on our booth. Our specialists have also showcased the opportunities provided by the -d AutoTRASSIR LPR (license plate recognition) solution to the public. The brand new LPR release uses a more advanced algorithm that can significantly increase the accuracy of license plate recognition.

However the greatest interest among professionals in the field of security caused a demonstration of the neural network people detector called TRASSIR Human Detector. It is a multi-functional solution for "smart" Video Analytics based on deep learning neural networks. TRASSIR Human Detector allows to detect the presence of people in the frame with very high accuracy and dramatically reduce the number of false positives.

More than 600 visitors has attended TRASSIR booth during the Security China 2018 expo. Our team managed to establish many important business contacts, many of which allow TRASSIR to find new potential partners.

The expo has demonstrated that TRASSIR solutions are well demanded in the market of security systems in China and cause serious interest among our partners. Therefore TRASSIR will continue to develop the presence in the region and increase the number of new projects. These projects will involve all the features that TRASSIR complete video surveillance ecosystem provides.

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