The AI IP camera has a built-in artificial intelligence chipset, which can analyze the video in real time, detect moving objects, identify the information of people and vehicle, and transmit to the artificial intelligence central database for storage through the network.The information processing speed is greatly improved and system response time significantly shortened. This is the most direct application that artificial intelligence brings to cameras.
The traditional IP camera has high requirements for network bandwidth. Since it directly transmits large amounts of high-definition video to the NVR recorder in the data center, it is difficult to analyze all the images in real time, most of the time it analyzes saved images.
Currently, AI IP cameras are becoming mainstream in the industry. The front-end camera can cut most of the video data into different sections in real time, making it more scientific, accurate and effective. Among them, the ultra-high-definition data has been structured, as a result the amount of data has been greatly reduced. Then the data will be sent to the back ends for sorage and further analysis, which further improves the response speed of the entire system.
AI IP cameras not only just improves the response speed, the AI technology also brings a wider range of application scenes to IP cameras. AI applications are defined based on the needs of the scene. Through a combination of multiple lens of a device, we could balance the requirements of different view, different parameters and functions for the same scene, enhance the data value density of single point devices, realize the perception of the whole scene, the extraction of all elements, and the association of all data