Developed based on the self-developed visual analysis algorithm, we provide intelligent video applications such as face/body detection, behavior analysis, machine and object analysis, people counting, hot zone analysis, dog analysis, etc. It is suitable for all types of segmented scenarios such as communities, campuses, parks, factories, hospitals and so on.
Industry pain points
With a large number of cameras, it is difficult to detect security incidents that have occurred through human inspection alone, resulting in 'built to be useless' and 'built to be difficult to use' situations.
It is difficult to pinpoint a security incident after it has occurred. This requires a frame-by-frame review of all surveillance footage, which takes a lot of manpower and time.
There is no effective coordination mechanism to deal with unexpected security incidents in a timely manner, resulting in secondary damage due to information and time lags.
A large number of cameras store a huge amount of data every day, most of which is useless and a waste of resources.
The unit is compatible with mainstream HD network camera access (RTSP, ONVIF protocol).
Used at the edge, the camera is plug and play, simple and easy to install and use.
Maximum support for 16-channel 1080P cameras or 32-channel facial capture cameras for real-time analysis.
Provide secondary development interface to realize face base registration, comparison record and alarm record return.
Edge analytics hosts can configure algorithmic capabilities on-demand for cost savings.
Linkage front-end can realize access control, sound and light alarm. and linkage back-end platform software can realize WeChat, SMS, email alarm push.