The camera has an implemented license plate recognition algorithm and an alarm output, thanks to which it can operate autonomously as a system that opens a barrier or passage. Configuration of the license plate database is from the browser interface, it is also possible to import a list of vehicle to the camera in the form of a file, which greatly improves making changes in the system. 

Image analysis function based on Deep Learning, enabling the graphical representation of the intensity of traffic in the observed area. The algorithm of the function creates an illustrative map of the intensity of the movement, overlaying the image from the camera with a color palette, in which warmer colors correspond to greater intensity of movement, and cooler ones - to a lower intensity.
 

Image analysis function based on Deep Learning, allowing to detect and analyze the number of people waiting in the queue. The camera can trigger an alarm when the queue length exceeds a certain number of people, or when the service time exceeds a certain time.
 

Image analysis function based on Deep Learning, allowing the detection of a certain level of crowd density in a defined area. The camera can trigger an alarm when the number of people in the protected area exceeds the defined number.
 

Image analysis function based on Deep Learning, allows to create a virtual detection zone and trigger an alarm after violating the boundaries of this zone by defined objects with recognized shapes (a human or a car).
Application example:
- perimeter protection of the facility
- protection of strategically important objects
 

Image analysis function based on Deep Learning, enabling the counting of objects with recognized shapes (a human, a car), that crossed the virtual line. The camera can display the number of these objects in the image.
 

Intelligent image analysis function based on Deep Learning, enabling the recognition of human and car shapes. The sophistication and efficiency of the analysis methods used, allow for distinguishing objects even as small as a few percent of the scene, and for simultaneous monitoring of many objects of different types.

Image analysis function based on Deep Learning, allows to create a virtual detection line. If the line is exceeded by defined objects with recognized shapes (a human or a car), an alarm is triggered.
Application example:
- perimeter protection of the facility
 

The Smart IR functionality allows you to dynamically adjust the level of infrared illuminator built into the camera to the distance from the observed object. Thanks to this, the image is not overexposed, and the objects are clear even in close proximity to the camera.

The mobile application allows for remote monitoring of a system based on 4000, AHD and Wi-Fi recorders via a smartphone with Android or iOS. The basic configuration of the recorder and cameras as well as PTZ control are available from the phone. The application allows you to connect to the recorder via P2P using a QR code, without the need for additional network configuration. In addition, it allows you to receive push alarms for selected alarm actions such as:
- crossing the line
- intrusion into the zone
- sabotage

All cameras of the 4000 series have an autonomous P2P functionality that works with the RxCamView application. The camera which we provide Internet access can connect directly to the application using the QR code (via the P2P server). The solution is useful for large / dispersed objects where we only need live view.

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.

Two way power function allows for using DC connector in camera (12V) as an output, when camera is powered by PoE. Maximum power output is 3W, so this solution is recommended mostly for active powered microphones (for cameras with audio input). 

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
 

The camera equipped with an SD card slot allows local recording of video material, so it is resistant to possible interference in the transmission of data between the camera and the recorder. Playback and export of saved material can be done from the level of the web browser.

NMS software (Novus Management System) is an advanced platform for managing video monitoring system. NMS 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.

A vandal-proof camera is a camera whose construction makes it difficult to destroy or knock down from the assembly place. Most often these are dome cameras in a metal housing. In addition, the shape and design of the polycarbonate diffuser should protect it against breakage or cracking.

Power over Ethernet - the technology allows you to power the IP camera directly from the recorder, without the need for additional power devices.

The function allows to trigger a local alarm, send an e-mail, control the relay after detecting the face from the observed scene. The function will be used in places where due to high traffic it is not possible to use ordinary motion detection, and we want to register only fragments in which a human appears on the observed scene.
Application example:
- shops
- passage control (gates, tripods)