Security monitoring video centralized storage/cloud storage EasyCVR video convergence platform is based on the cloud-edge-end integrated architecture, which can support multi-protocol and multi-type device access. The video surveillance integrated management platform has powerful data access, processing and distribution capabilities, and can In a complex network environment, all kinds of scattered video resources are gathered, integrated, stored, and centrally managed.
In our previous articles, we have shared a lot about the alarm functions of the video surveillance business platform EasyCVR, including the number of days to keep alarm recordings on the platform, alarm plans, etc. Interested users can read previous articles to learn more.
On the docking platform of AI algorithm/data center/edge computing hardware, video analysis EasyCVR can obtain the alarm information detected and identified by AI, and display it in the [alarm query] module of the platform, which supports retrieval and retrieval by alarm type, alarm level, etc. Check.
Recently, a project put forward a request to connect the intelligent video surveillance integrated management system EasyCVR to the interface of the AI algorithm platform, hoping to persist the returned analysis data to the EasyCVR service and display it in the page list. Let’s share how to do it today.
1) Create the analysis result data structure, as follows:
2) Write the data to the database, as follows:
3) The front-end page is displayed as follows:
The alarm function of the video storage disk array/security video monitoring/video aggregation EasyCVR platform can timely alarm the alarms (offline, occlusion, failure, etc.) uploaded by the monitoring equipment and the abnormal situation of AI monitoring, and support the capture and recording of the alarm time , and can push the alarm message to the management personnel through voice, SMS, APP, message notification, WeChat, email, etc.
The video intelligent analysis/video surveillance management platform EasyCVR has rich video capabilities and can be applied in scenarios such as smart construction sites, smart factories, smart communities, smart campuses, smart mines, smart safety supervision, and smart food safety. Interested users can go to the demonstration platform for experience or deployment testing.