Cctv Camera Best Price
Cctv camera best price
Network camera Features :
Metal housing, IP66
Lens: 3.6mm fixed lens
Package: 40pcs/carton (carton size: 50.5cm×39cm×35cm)
Compatible with Hikvision Private Protocol
Smart Low Illumination; Smart ROI(4 ROI region)
Free P2P; ONVIF2.4; BLC; 3D-DNR; DEFOG; DWDR
Support auto IR-CUT filter removal function/ICR
Support: Milestone, NUUO, AXXON, igifort,avigilon
Apply to roads, warehouses, underground parking and other place which required definition picture quality.
|Min.Illumination||Low LUX: 1.0LUX（Color） 0.1LUX (B&W)||Low LUX: 1.0LUX（Color） /0.1LUX (B&W)||Low LUX: 0.1LUX（Color） /0.01LUX (B&W)||Low LUX: 0.1LUX（Color） /0.01LUX (B&W)||Low LUX: 0.6LUX（Color） /0.08LUX (B&W)||Low LUX: 0.1LUX（Color） /0.01LUX (B&W)|
|Electronic Shutter||1/2000 ~ 1/1000|
|Max Image Resolution||1280*960||1920*1080||1920*1080||1920*1080||4.0MP(2560×1440)||1920*1080|
|Frame Rate||12–25FPS ( Adjustable)||12–25FPS ( Adjustable)||9–16FPS ( Adjustable)||7–30FPS ( Adjustable)||4MP @20 FPS, 2MP @30FPS, 1~30 FPS adjustable||7–30FPS ( Adjustable)|
|Protocol||TCP/IP, HTTP, DHCP, DNS, DDNS, UDP,RTSP, PPPoE, SMTP, NTP, UPnP, FTP,etc|
|PC Client & Browser||UC2, IE,seetong|
|Mobile Phone||iPhone,iPad,Android Mobile|
|LAN||1 RJ45 10/100 ethernet port|
|Working Temperature||-10 C ~ + 50 C|
|Working Humidity||0% ~ 90%|
|Power Supply||DC12V ,1A|
1.What is Backlight Compensation (BLC) ?
Backlight compensation is a feature that camera companies have been utilizing for some time now. When someone is say sitting in front of a window, or coming in from outside, there is a lot of natural light behind this person. When a camera is aimed in their direction, the camera is picking up all this natural light behind them, therefore the object or person in the foreground becomes very dark, almost silhouette like. Such video is not good for security personnel trying to determine who this person is.
BLC is a feature provided by the Digital Signal Processor (DSP) in a security camera that optimizes exposure in the foreground and background of security video. It splits the video scene into different regions, and uses a different exposure for each of these regions. It corrects regions with extremely high or low levels of light to maintain a normal and usable level of light for the object in focus. However, it is important to note that BLC has its limits when correcting exposure in situations where there is an extreme difference in light between the foreground and background. For best results, WDR has become the sought after feature.
Image sensors are very important pieces of technology located within your security cameras. The image sensor is the component that captures the light hitting your camera’s lens, turning it into electrical signals which get recorded as video. The two types of sensors used with security cameras are CCD and CMOS sensors. Both have their advantages and disadvantages. Below is a brief summary of each type, and you can find our more about CCD and CMOS image sensors.
CCD Sensors are prevalent in analog cameras specifically as a very high quality sensor. These sensors are what make a Real WDR camera possible along with a DSP like Effio-V. Megapixel CCD sensors are very expensive and because of their cost, most high definition and IP cameras in the consumer market have CMOS sensors instead. This is unfortunate as CMOS sensors lack some features that are only available in CCD sensors. CCD sensors have the highest light sensitivity available, but aren’t best for every application. CCD sensors are capable of holding a large signal in any individual pixel and a very low read noise, meaning they have a much larger dynamic range than CMOS sensors. While CMOS may be better for speed related applications, CCD sensors are much better for applications where low noise is needed, specially in low light..
As already stated, most HD and IP cameras are now using CMOS sensors. CMOS sensors have some advantages and drawbacks when compared to CCD sensors. The rate they can convert images to digital data is much faster than what CCD sensors can provide, so overall they are much faster. They also require lower voltage and have lower power consumption. Unfortunately they generate a lot of electrical noise, leading to a sometimes grainier image. Many manufacturers are incorporating different technologies into their cameras to aid with this however. Also, Real WDR is not available in CMOS sensors at this time, and this is why DWDR and similar techniques are employed through the DSP.
The application and development trend of fisheye panoramic camera
Fisheye panoramic camera as a new product, its special structure and unique without blind area monitoring feature, brought a totally different new experience for security monitoring. Especially in nearly a year or two, with the popularity of HD network and the fisheye technology mature, fisheye camera for panoramic monitor, is favored by users in the field of civil, commercial, police or special, and began to gradually obtained the practical application in the field of various industries.
The most core technology development of Fisheye panoramic camera is the optimization of the fisheye image correction algorithm. The fisheye image correction is to correct the serious deformation images information provided by the fisheye lens , to meet the visual habit projection image.
The image above is a fisheye lens imaging model, we approximate the fisheye lens as a hemispherical, fisheye camera shooting direction OZ axis for the optical axis, XOY for the imaging plane, for any point in the space scene P0, connect the OP0 to pay The hemispherical surface at the point P1, the point P1 as the optical axis OZ of the parallel line, the imaging plane XOY at the point P2, the point P2 is the space point P0 imaging plane XOY made of the image, so for fisheye images, The captured image is a circular area, and the lines around the screen are bent, leaving only the straight line at the center of the lens in its original position. Therefore, a 3D image correction algorithm needs to be adopted to correct each 2D imaging plane point on these fish-eye images back to the 3D scene and then to project 2D plane points that form a calibration image. The specific 3D correction algorithm is complex, the algorithm is reasonable, the level of programming and the final system resource utilization, together determine the merits of the algorithm, excellent correction algorithm to achieve high precision, distortion-free image correction.
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