Scati adds deep learning cameras with multianalytics to his suite

Facial recognition, row counting and management are elements of intelligence and learning that the manufacturer has integrated into this new range of video devices.

The new range of network surveillance cameras Scati It incorporates multi-analytical technology with the aim of offering its customers the greatest number of security features in a single device.

Available in several models, depending on the image resolution offered, up to 4 Megapixel, This new range of cameras equips a sensor of 1/1,8 Inch Progressive Scan CMOS and motorized lens.

The cameras automatically switch day/ thanks to its mechanical infrared filter (Go) up to 30 meters away, wide dynamic range (140 Wdr) and vandal-resistant housing (IK10).

These new devices allow you to manage up to 10.000 Images of faces from three different lists, for which they incorporate facial recognition analytics, Counting and row management.

One of its innovations is that they allow to temporarily discriminate alarms associated with faces that appear several times during a certain time (configurable), for example for employees in a facility, to receive only those that really deserve special attention.

Moreover, Queue management analytics allows you to count the number of people and the time they stay in a queue, sending an alarm in the event that the threshold exceeds the established one and to take the necessary actions, in addition to improving the user experience.

All information associated with images (metadata) is collected and managed by the business intelligence Scati Reckon. Through the management software it is possible to have daily reports, weekly or monthly of the people who access an establishment, as well as the average waiting time to make decisions that improve customer service and the business.

Scati Reckon helps the user anticipate the facts and improve both efficiency and response time. All this allows you to know your customers better, detect market trends and understand and predict behaviors.

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