How to migrate the device data accessed by the RTSP of the easycvr platform to easynvr?

EasyCVR Multi protocol support 、 Multi type device access , The mainstream standard protocols that can be supported are GB28181、RTSP/Onvif、RTMP etc. , And the manufacturer's private agreement and SDK Access , Including Haikang Ehome、 The sea, SDK、 Dahua SDK etc. , Can be distributed externally RTSP、RTMP、FLV、HLS、WebRTC Video streams of the same format .

EasyNVR The platform is based on RTSP/Onvif Protocol video platform , It can support equipment access 、 Video stream processing and distribution , Live video broadcasting can be realized in the video monitoring scene 、 Cloud video 、 Cloud storage 、 Video retrieval and review 、 The alarm 、 Cascade, etc .

In previous articles , We have introduced to you about TSINGSEE Qingxi video platform can support technical articles on data migration , Interested users can search by themselves . Today I'd like to share with you ： How to integrate EasyCVR Of RTSP Device access data migration to EasyNVR in ？

The operation steps are as follows ：

1） First , take EasyCVR Database export for ：

2） Open channel configuration ：

3） export EasyNVR database ：

4） take EasyCVR Name and RTSP Address and other information , copy to EasyNVR Inside and outside ：

5） The information is changed to EasyNVR After the table of , Save and exit , And then in EasyNVR【 Channel list 】 Upload the page , Pictured ：

6） Wait for two minutes , Refresh the page to see that the data has been successfully migrated ：

EasyCVR The platform is based on cloud edge end integrated management , The scattered resources can be gathered for centralization 、 Unified management , The platform has strong expansibility 、 Flexible function , There are a large number of landing applications offline , Such as smart construction site 、 Smart campus 、 Smart factory 、 Smart community and so on .

 

With AI The continuous application of Technology ,EasyCVR The platform is also actively integrating video intelligent detection and analysis technology , By monitoring the people in the scene 、 vehicle 、 Capture objects 、 Detection and identification , It can intelligently remind and notify abnormal conditions . Interested users can go to the demonstration platform for experience or deployment testing .