Cctv Camera With Voice Recording
Cctv camera with voice recording
Network camera Features :
With Built in POE
Metal Housing, Vandalproof
Lens: 2.8-12mm fixed lens
Package: 12pcs/carton (carton size: 59cm×38.5cm×40cm）
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.Can different manufacturers video server connect to different manufacturers network video surveillance system platform?
At present, the manufacturers of video server equipment can only access to the interface has been docked through debugging, because the terminal interface has not completely industry standards, so temporarily can not fully realize the terminal manufacturers and any platform docking.
2.How to install video server and PTZ, alarm equipment?
The role of the head is to make a fixed fixed camera rotation; and alarm equipment generally play a security role in the event of an exception to the electronic switch generated short circuit and open signal, the signal is captured, the video server can generate a local alarm The output signal can be a variety of target control; such as off-site linkage alarm, alarm signal remote transmission to the monitoring staff, causing the staff of the incident warning and can be based on the actual situation to make the corresponding alarm processing
3.Camera classification and features?
The camera is roughly divided into the following categories: bullet, dome camera, integrated camera, infrared day and night camera, high speed dome camera, network camera.
1) bullett: cheap, but do not have the zoom and rotation function, can only complete a fixed range of distance monitoring, hidden poor;
2) dome camera: a certain degree of concealment, while small size, beautiful, can be hoisted on the ceiling, make up for some of the shortcomings of the bullet;
3) integrated camera: built-in lens, you can automatically focus on the lens control convenience, installation and debugging simple
4) infrared day and night camera: the camera, protective cover, infrared light, power supply unit integrated into one of the camera equipment, with night vision distance, hidden strong, stable performance and other advantages;
5) high-speed dome camera: one set of machine-based camera and PTZ in a device, in addition to a fast tracking, 360 ° horizontal rotation, no surveillance blind area and privacy area shading and other features and functions;
Smart Search Plays A Key Role In A More Dangerous World
th criminal activities on the rise and threats of terrorist activities more imminent than ever, video surveillance has become an indispensable tool in pinpointing and identifying suspects. The Boston Marathon bombers, for example, were caught by surveillance cameras in the area, and law enforcement officials were able to use the footage to eventually locate the killers.
Yet with piles upon piles of video footage, which can easily amount to terabytes of data, searching for a particular individual can be a daunting task. “After a major incident, investigations can be extremely resource consuming,” said Erez Goldstein, Senior Product Marketing Manager at Qognify. “Trawling through large amounts of video footage to isolate the right person out of the crowd and track their route is an extremely complex task to conduct manually. It takes a huge amount of manpower, and it can be slow, which is far from ideal in a time pressured scenario where you need to learn fast – Who was involved? Who were they in contact with? How they arrived? Where they might have been before acting their crime?”
The need to identify and locate suspects fast can be met by various smart search analytics software today, which sifts through overwhelming amounts of video data based on certain search criteria and returns results with lightning speed. One example is Qognify’s Suspect Search, which addresses two key areas in which smart search has a crucial role to play – real-time incident management and post event investigation.
“New search tools enable security professionals to work in real-time, or near real-time, rapidly narrowing down data from 100 or 1000s of camera feeds in a matter of minutes, in order to locate a suspect, missing person or object,” Goldstein said. “In a post-event scenario, the ability to automate much of the process saves huge amounts of time and resource, improving the likelihood of a successful resolution.”
With various smart search analytics in the market, Goldstein said Qognify makes its solution unique with the following:
Searching based on a human “signature”: Qognify has developed the ability to identify a specific individual and search for them in the video footage, based on unique features of that individual, not just his or her face.
Being camera agnostic: Aside from very basic image quality and size requirements, the solution is completely independent of the camera from which the image is obtained. The entire processing and algorithmic handling is done on the server.
Color variation compensation: In real life surveillance, cameras have color variation due to location and illumination, among others. The Suspect Search algorithm knows how to compensate on color variation between cameras to bring accurate results across many types and location of cameras.
Besides law enforcement, the product has applications in other areas, too. “There is quite a wide usage pattern across many vertical markets,” Goldstein said. “These include transportation (air and land), city centers, critical facilities (for example corporate facilities and hospitals, and large public events.”
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