The EasyCVR video fusion platform is based on the cloud-edge-device collaboration architecture and has powerful data access, processing and distribution capabilities. The platform can support multi-protocol and multi-type front-end equipment access, including: IPC, NVR, video encoder, video platform, vehicle-mounted terminal, vehicle-machine equipment, police mobile law enforcement instrument, handheld intelligent mobile terminal, drone, etc.; It supports device tree grouping and hierarchical management of devices, supports device status monitoring, cloud operation and maintenance and other functions, and realizes centralized control and authority distribution of access resources.
According to user feedback, there is an abnormal playback in the EasyCVR video retrieval module, and it occurs when the user continuously clicks on the channel to play the video. According to user feedback, we immediately conducted a troubleshooting.
During the investigation, it was found that a certain channel failed to play because the request interface was abnormal and the status code was 200, but no data was returned. Through the wireshark packet capture, it is known that the data has been sent, but the browser has not received the data, which causes the playback to fail, and the user cannot operate to close it, replay it, or play other channels.
Modify the code here, add judgment, add a state to the player before calling the interface, modify this state when the interface is successful, if not successful, the user can also perform other operations through the button that exists in this state, so as to optimize this detail.
The EasyCVR platform supports massive video aggregation management. Combining the EasyCVR video capability with the AI capability of the intelligent analysis gateway can realize AI intelligent detection and analysis based on the cloud, edge, and terminal architecture and fine scheduling of computing power, which can be applied in cities. In scenarios such as "one network unified management", smart construction sites, smart factories, smart communities, smart campuses, and smart buildings. Interested users can go to the demonstration platform for experience or deployment testing.
