-
ПодробнееQuick ViewASTROHN-5А
Outdoor security camera with IR searchlight
Security camera ASTROHN-5A with built-in IR searchlight is designed for contiguous objects and perimeters security. Built-in IR searchlight allows to expand surveillance area and 3D smart analytics stable operation area up to 100 meters. Camera construction allows the rigid mounting at the electricity pylons and contact line supports with voltage up to 10 kV. Camera alignment on the surveillance object is done by adjusting the mounting plates horizontally at the insulator’s prickers and vertically with relation to mounting plate ±10°. Camera is powered by electricity pylon branch line using self-supporting insulated wires. Camera is protected from induced voltage up to 10,000V by data transfer and power channels and has body insulation to protect from mounting support up to 35 kV. Data is transferred by optic fiber directly from camera without any sockets. To connect camera to optic fiber no expensive welding is required. Optic fiber connection is done by using the hermetical enclosed connecter with ambient class NF1 according to GOST15150 and IP67 leakage class.
-
ПодробнееQuick ViewASTROHN-7А
Outdoor security camera in the body that prevents camera stealing
Security camera ASTROHN-7A is designed for surveillance of the sites distant from operating forces site. Camera’s design was developed specifically for eliminating the possibility of unauthorized demounting using hand tools, saws, axes, angle grinders and theft from installation site. There is no L-shaped bracket in the camera construction because of how easily it can be broken during act of vandalism or theft. Camera construction allows easy mounting at the standard communications masts with nominal diameter from 50 mm (DN50) to 100 mm (DN100). Absence of L-shaped bracket lessens camera jitter and improves behavior of built-in video analytics. Built-in 3D video analytics Built-in 3D analytics has all modes for basic threat models: objects automatic recognition and classification, virtual borders crossing, enter and exit the security area, stopping and remaining in the area, “left objects”. Data transmission is implemented through the optical fiber from directly within the camera without any socket and expensive fusion splicing using the hermetic enclosed connecter by ambient class NF1 by the GOST15150.
-
ПодробнееQuick ViewASTROHN-21А
Outdoor security camera with dark light
Security camera ASTROHN-21A with infrared highlighting in 2 band diapason is designed for property and perimeter security. The highlighting in two bands of IR-A creates a more natural video image. IR highlighting turns on automatically using the light sensor. Built-in 3D analytics has all modes for basic threat models: objects automatic recognition and classification, virtual borders crossing, enter and exit the security area, stopping and remaining in the area, “left objects”. Data transmission is implemented through the optical fiber from directly within the camera without any socket and expensive fusion splicing. Fiber optic connection is done through the hermetic enclosed connecter by ambient class NF1 by the GOST15150 and leakage class IP67. This camera has standard mounting using the L-shaped bracket. It has purposely designed brackets for fastening at the fence tower stands from welded mesh of the “Machaon” type. You can see installation options in the “Standard designs and deployment” section.
-
ПодробнееQuick ViewASTROHN-5A-IQ2130
Network rotating dome security camera for indoor installation
Network camera ASTROHN-5A-IQ2130 is designed for inside property protection or for hermetic capsule installation. Resolution of matrix is 1920×1080 pixels. Built-in 3D video analytics has all modes for basic threat models: objects automatic recognition and classification, virtual borders crossing, enter and exit the security area, stopping and remaining in the area, “left objects”. Analytics, classifiers and security areas setting does not require thorough knowledge of software engineering; it has user-friendly interface and easy-to-use settings. It is recommended to use the lens (not included) to get the minimum 2 megapixel resolution.
-
ПодробнееQuick ViewASTROHN-5A-IQ2210
Network rotating dome security camera for indoor installation
Network dome camera ASTROHN-5A-IQ2210 is designed for indoor security. Matrix resolution is 1920×1080 pixels. Built-in video analytics has all modes for basic threat models: objects automatic recognition and classification, virtual borders crossing, enter and exit the security area, stopping and remaining in the area, “left objects”. Analytics, classifiers and security areas setting does not require thorough knowledge of software engineering; it has user-friendly interface and easy-to-use settings. Dome camera has built-in lens with focal distance of 3-9 mm and minimum resolution of 2 megapixels.
-
ПодробнееQuick View
ASTROHN-5A-IQ-PTZ-131
Network rotating dome security camera for indoor installation
Network rotating dome camera ASTROHN-5A-IQ-PTZ-131 is designed for indoor security. Build-in video analytics has several algorithms for rotating camera. Rotating cameras’ smart video analytics algorithms are much different from video analytics algorithms for fixed cameras. To begin with, it is not possible to implement 3D image analysis because the canting angle changes over turns and zooming. In many scenarios without the relevant limitations in turning and zooming settings it is impossible to determine the security area borders and, as consequence, to implement the algorithms of borders crossing, entering and exiting the security area, etc. Algorithms of object classification, acquisition and alerting the operator can be implemented. According to above mentioned analytics algorithm features of any rotating cameras we suggest to use rotating cameras in addition to stationary cameras, but not as main or the only ones.
-
ПодробнееQuick ViewASTROHN-5A-IQ-PTZ-132
Network rotating dome security camera for outdoor installation
Network rotating dome camera ASTROHN-5A-IQ-PTZ-132 is designed for property and perimeter protection. It has an outdoor climatic category for boreal climate. Built-in video analytics has algorithms for rotating camera operation. Algorithms for rotating cameras smart video analytics are much different from analytics algorithms for fixed cameras. To begin with, it is not possible to implement 3D image analysis because the canting angle changes over turns and zooming. In many scenarios without the relevant limitations in turning and zooming settings it is impossible to determine the security area borders and, as consequence, to implement the algorithms of borders crossing, entering and exiting the security area, etc. Algorithms of object classification, acquisition and alerting the operator can be implemented. According to above mentioned analytics algorithm features of any rotating cameras we suggest to use rotating cameras in addition to stationary cameras, but not as main or the only ones.
The concept of the CCTV, developed by Astrohn Technology LTD, is based on minimizing the human factor influence on the detecting and recognizing the security threat. The most difficult part of this task for human is the necessity of regularly scrolling the images from the cameras. According the research, human attention can be maintained at this routine task for no more than 45 minutes at average. For the remaining time the secured facilities remain unattended. The solution to this problem is to apply the camera’s image field video analysis that takes on the monotonous work of examining and analyzing everything that happens on the secure facility.
The basic amount of facilities equipped with our company equipment have the security category that prevents even the temporary loss of control over the secure facility. Video analytics, developed at our company, is designed to be built-in in the primary sources of information: video cameras, thermal imagers and modules to provide the high reliability.
Advantages of the built-in video analytics over analytics launched at the remote server are:
Built in camera smart 3D video analytics detects:
