Video surveillance technology refers to the real-time video monitoring and recording of specific areas by installing cameras and other related equipment. Video surveillance technology mainly includes functions such as video collection, video transmission, video storage and video playback.
项目-mark5348Taking the LiteCVR security video platform as an example, the smart security platform LiteCVR supports the access, transmission and distribution of high-definition videos. The platform adopts an open network structure and provides real-time remote video monitoring, video recording, video playback and storage, alarms, and voice communication. It has rich video capabilities such as speaking, PTZ control, platform cascading, disk array storage, centralized video storage, cloud storage, etc. In addition, the high-definition visual video surveillance platform LiteCVR also has permission management, equipment management, authentication management, and streaming media access. and forwarding and other management capabilities.
Video recognition technology refers to the analysis and recognition of images, targets, actions, etc. in videos through computer algorithms and artificial intelligence technology. Video recognition technology mainly includes face recognition, vehicle recognition, pedestrian recognition, action recognition and other functions. The use of AI artificial intelligence technology can realize intelligent detection and analysis of video surveillance images. Using machine vision to "see" instead of human eyes can provide more accurate and timely monitoring information, and promptly discover various safety hazards and abnormal events.
The combination of LiteCVR video surveillance technology and video recognition technology can realize real-time monitoring of specific areas and automatic analysis of surveillance videos. Through video surveillance technology, video data in a specific area can be obtained in real time and transmitted to the monitoring center for storage and playback. Video recognition technology can identify and analyze targets in videos. For example, face recognition can be used for identity verification and security, and vehicle recognition can be used for traffic management and target tracking.
Based on the surveillance cameras in each key area, the surveillance video stream is connected to the LiteCVR intelligent analysis gateway with AI deep learning algorithm, which can realize AI video analysis identification and safety hazard alarm, and can realize perimeter, ground, main road, and underground parking. Fields, etc. carry out regional intrusion alarms, dangerous area intrusions, wall climbing, illegal parking of vehicles, fireworks detection, etc. Through real-time recognition of faces, human bodies, vehicles, behaviors and events, abnormal situations can be discovered and dealt with in a timely manner to improve safety. and intelligent supervision capabilities.
litemedia/cn，成都来特科技Video surveillance technology and video recognition technology are widely used in security monitoring, traffic management, smart home, medical and health and other fields. With the continuous development of artificial intelligence and big data technology, video surveillance technology and video recognition technology will become increasingly intelligent and efficient, providing safer, more convenient and intelligent solutions for all walks of life.