Best network camera

Network camera Features :

1. Embedded RTOS design, Dual Core 32 bit DSP

2. H.265/H.264 dual-stream encoding

3. Dual stream to adjust to the network flexibly

4. Optional function: Poe, AUDIO.

5. High quality with stable performance

6. Free client software support for record, preview, playback。

7. Support P2P, NAT traversal and mobile monitor

8. Support iPhone, iPad, Android Mobile

9. Adjustable DOL- HDR

10. 3D DNR, Privacy Mask, Motion Detection

11. Open SDK support for industry customer’s secondary development

12. Support onvif 2.4 protocol

13. Support various network modes.

Scenarios：

Apply to roads, warehouses, underground parking and other place which required definition picture quality.

Specification:

FAQ:

1.Will broadband users add new network video surveillance system to re-apply for a new line?

Can you use existing physics? line?

Under normal circumstances, network video surveillance system and other services can share the same access network lines. Apply for new network video surveillance system does not need to apply for a new line, the use of the original line can use the network video surveillance system. But if the original VPN and other special lines, according to the local network to do a specific analysis of the situation, but from the purely technical, as long as the network to increase the allocation of resources, new users can still do not increase the use of network video Monitor the business of the system.

2.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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