Discover a new level of precision and efficiency in video analysis with metadata! This advanced technology collects information about detected objects such as. gender, age, direction of movement, vehicle type or external features, providing valuable analytical data to the recorder. This makes it quick and easy to search for specific people, vehicles or moments in the recordings and significantly improves efficiency in searching through surveillance footage.

INGENIUS - a new generation of intelligent image analysis based on Deep Learning. The algorithm used allows the camera to recognize the shape of a human, a car and bike/motorcycle, even as small as 1% of the stage. The efficiency of the analysis methods used allows simultaneous classify and monitoring of up to 32 objects of different types.

INGENIUS PLUS - a new generation of intelligent image analysis based on Deep Learning. The algorithm used allows the camera to recognize the shape of a human, a car and bike/motorcycle, even as small as 1% of the stage. The efficiency of the analysis methods used allows simultaneous classify and monitoring of up to 32 objects of different types.

The function allows to trigger a local alarm, send an e-mail, activate the relay, or send a push notification to the mobile application after the object (human, car or bike/motorbike has crossed the previously defined detection zone.
Application example:
- perimeter protection of the object
- protection of strategically important objects

The function allows to trigger a local alarm, send an e-mail, activate the relay, or send a push notification to the mobile application after the object (human, car or bike/motorbike has crossed the previously defined line (maximum 4 lines per one camera).
Application example:
- perimeter protection of the object

Image analysis function based on Deep Learning, allows to detect the faces of people in the detection zone. After detecting a face, the camera can trigger an alarm or, if it is connected to a recorder with the face recognition function, it can send data allowing for the identification of the detected face.

The mobile application allows remote monitoring of the system based on the 6000 series devices, via a smartphone with Android or iOS. Live view, playback, the basic configuration of the devices, PTZ control, PUSH alarms receiving and others are available from the phone. Thanks to P2P feature, network access is very convenient – no public address nor port forwarding are necessary.

The camera uses HTML5 standard (programming language) to display the image in the browser.
This allows to configure and display stream from camera not only from Internet Explorer, but in all popular browsers, like Opera, Firefox, Edge or Chrome. Thanks to HTML5, the user can safely and conveniently connect to the camera, the high performance of HTML5 protocol allows to high definition video display without lag and with moderate consumption of computer resources.

The recorders in combination with the cameras of the same series, apart from the configuration of basic parameters such as contrast or brightness, allow for a much more advanced interference with the camera settings. Depending on the functionality of the camera, from the recorder level it is possible, among others:
- changing the network settings of the camera
- stream parameters setting
- setting the zoom and focus in a camera with a motor zoom lens
- enabling and configuring the image analysis function
 

Lens with the possibility of remote focal and focus adjustment using a recorder, web browser, Novus Management System VSS software or even a mobile application.

Novus Management System VSS software is an advanced platform for managing video monitoring system. Novus Management System VSS can combine different standards of CCTV: Analog, AHD, IP, and at the same time is a software with a high degree of flexibility, finding its application in both small and large and distributed installations

Improved coding standard allowing even more efficient use of the transmission bandwidth. The mechanism is based on the use of frame elements virtualization, which allows for the partial prediction of the recorded image, thus the overall packet traffic in the network is reduced.