IPHSIM‐K30 H.265 Poe Cmos Sensor Indoor Surveillance Night Vision Dome Security CCTV Camera
Product Details
IPHSIM‐K30 H.265 poe cmos sensor indoor surveillance night vision dome security cctv camera
Features :
Compression: H.265/MJPEG/H.264
Lens: 2.8-12mm / HD Manual Zoom Lens
True Day/Nigh ICR
Compatible with Hikvision Private Protocol
Smart Low Illumination; Smart ROI(4 ROI region)
Support: Free P2P; ONVIF2.4; BLC; 3D-DNR; DEFOG; DWDR
Support MobilePhone Viewing
SIM card, Support 3G/4G network
Model | IPHSIM30E-K30 | IPHSIM30F-K30 | IPHSIM50A-K30 |
Sensor/DSP | 1/3″ OV 4689 + 3516D | 1/3″ OV4689 +3516A | 1/3″ OV 5658 + 3516A |
Day/Night | ICR | ||
Min.Illumination | Low LUX: 1.0LUX(Color) 0.1LUX (B&W) | Low LUX: 0.6LUX(Color) 0.08LUX (B&W) | Low LUX: 0.05LUX(Color) 0.01LUX (B&W) |
Lens | 2.8-12mm,HD Manual Zoom Lens | ||
IR LED | 5*30pcs | ||
IR Distance | 25M | ||
White Balance | Manual/Automatic | ||
OSD | YES | ||
Electronic Shutter | 1/2000 ~ 1/1000 | ||
VIDEO | |||
Compression | H.265/H.264/MJPEG | ||
Max Image Resolution | 2048*1536 | 2048*1520(3.0MP) | 2592*1944(5.0MP) |
Frame Rate | 25/30FPS | ||
Bit Rate | 32Kpbs~16Mpbs(Adjustable),CBR/VBR | ||
WDR | >80dB dWDR | >80dB dWDR | >80dB dWDR |
AUDIO(Optiona) | |||
NETWORK | |||
Protocol | TCP/IP, HTTP, DHCP, DNS, DDNS, UDP,RTP, RTP/RTCP,RTSP, PPPoE, SMTP, NTP, UPnP, FTP,etc | ||
4G standard | TDD-LTE/FDD-LTE,WCDMA | ||
Compliance | ONVIF 2.4 | ||
PC Client & Browser | mCMS, IE,danale | ||
Mobile Phone | iPhone,iPad,Android | ||
INTERFACE | |||
Video Output | RJ45 | ||
LAN | 1 RJ45 10/100 ethernet port | ||
UIM SIM card slot | 1pcs | ||
4G antenna | 1pcs | ||
Micro SD Card slot | 1pcs | ||
GENERAL | |||
Working Temperature | -10 C ~ + 50 C | ||
Working Humidity | 0% ~ 90% | ||
Power Supply | DC12V/9.6W max. | ||
Dimension | ¢138 x 106(H)MM | ||
Weight | 1.2Kg |
Embedded RTOS design, dual Core DSP, high-performance compression tech, dual stream to adjust to the network flexibly
FAQ:
1.What function the Network video surveillance system software platform can achieve?
Network video surveillance system platform can achieve centralized monitoring and management, video distribution, alarm linkage management, video storage management, system log management, remote video playback and viewing, and so on.
2.Back Light Compensation, Back Light Compensation?
is a term which describes the mechanism by which an IP camera cancompensate?for?backlight?
by enhancing automatic exposure control on the camera. Take, for instance, this scene. A person walks into a dimly lit room with a flashlight or torch and shines this?light?directly into the camera.
3.Some tips on using OSD menu for?security camera.
1).Camera image can’t switch to B/W at night ?
Open the camera?menu?to see if “Day & Night Switch” is set as “AUTO”, if not, please change it into AUTO.
2).Noise is very obvious at night with low illumination.
Please make sure AGC is “ON”
3).The image color is abnormal.Please check white balance is correctly set as Auto White Balance.
4.Some tips on using OSD menu for? security camera.
1).Camera image can’t switch to B/W at night ?
Open the camera?menu?to see if “Day & Night Switch” is set as “AUTO”, if not, please change it into AUTO.
2).Noise is very obvious at night with low illumination.
Please make sure AGC is “ON”
3).The image color is abnormal.Please check white balance is correctly set as Auto White Balance.
5.How do I estimate the storage size?
Choosing the right storage for a video monitoring solution, you first need to estimate the storage capacity requirements. According to the current mainstream compression method is calculated as follows:
H.264 compression: 720P resolution, real-time 25 frames 33G/day
H.264 compression: D1 resolution, real-time 25 frames, 16.2G/day
H.264 compression: HAFL D1 clarity, real-time 25 frames, 300M/hour/channel;
H.264 compression: CIF resolution, real-time 25 frames, 200M/hour/channel;
The following is the video frequency and the storage time to measure the video data storage capacity;
From this table we can basically estimate the type of device that needs to store image resolution in a video surveillance project. For example, a bank needs a D1 video surveillance system, 7 * 24 hours monitoring, data storage can be covered for 3 months, then the total capacity requirements of 1.1TB.
It is possible to use a fixed rate frame frame storage technique, such as a 25-frame/S video file for one month, to reduce it to 15 frames / S without affecting the recording of the recorded information. This can save a lot of storage space.
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