The audio detection function analyzes the sound level in the camera's surroundings. When the noise level exceeds the set limit, the camera automatically activates video recording or sends notifications, ensuring a quick response to potentially dangerous situations. Also, if the sounds in the surroundings become too quiet, the function can also trigger a reaction to this event. Thanks to this function, the camera can become a tool not only for observation, but also for monitoring the overall security in a given area.

The autonomous license plate recognition function enables the detection and identification of license plate characters and compares them with a database stored in the camera's memory. Depending on the recognition result and configured options, the camera can perform various actions, such as activating an alarm output to control a barrier or gate, sending email notifications, saving photos and/or recordings on a memory card, or storing information in the cloud (the range and type of available reactions may vary depending on the camera model and/or software version). Sending recognition information to a recorder allows for expanding the range of reactions available in the recorder. Thanks to an advanced algorithm, recognition can be effective regardless of the time of day and weather conditions.

Image analysis function based on Deep Learning, allowing to recognize the faces of people in the detection zone. The camera, thanks to the appropriate algorithms and the built-in face database, is able to compare the recognized face with the database and trigger a programmed reaction.
 

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 mobile application allows remote monitoring of a system based on IP or multi-standard 4000 series recorders, as well as viewing images from 4000 series IP cameras, via a mobile device with Android or iOS. The application allows you to connect to recorders or cameras via P2P using a QR code, without the need for additional network configuration. Basic configuration of the recorder and cameras, as well as PTZ control, is available from the device. The application allows you to control recording, deterrence functions, allows for two-way audio communication, local recording on a mobile device and much more. Additionally, it allows you to receive and display push notifications with information about events.

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
 

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.

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.

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.

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