Home intelligent image monitor method and system basedon realtime network

Abstract

This invention discloses a family intelligent image monitor method and a system based on a real-time network composed of a USB camera head, a PC, netcards and ADSL MODEM. Compared with traditional monitor systems, this method utilizes any USB camera head as the image acquisition equipment and models to light interference in PC and filters light interferences brought by light variances before detecting motion images to increase compatibility and intelligency of the system. When abnormal happens, the system compresses and stores it in JPEG form and the netcard or ADSL MODEM informs the user to process it timely in the way of EMAIL.

Description

technical field [0001] The invention relates to the field of image processing and image monitoring, more precisely, to a monitoring method capable of intelligently recognizing moving images and transmitting images in real time, and to a real-time network-based home intelligent image monitoring system. Background technique [0002] The image acquisition device is the "eye" of the image monitoring system and one of the important components of the system. At present, most image acquisition devices use image acquisition cards or analog cameras for transmission through coaxial cables, and use BNC interfaces as data transfer interfaces. This kind of equipment generally has relatively low acquisition and transmission speeds, which is the real-time bottleneck of image monitoring systems. . [0003] In terms of image monitoring methods, the following three methods are generally used at present: [0004] 1. The simulated images are directly transmitted to the monitoring room, and th...

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Problems solved by technology

[0005] 2. All digital video is transmitted to the user through the network. The amount of video data is very large. For ordinary CIF transmission, true color image transmission at 24 frames per second, and a compression ratio of 16:1 require a transmission bandwidth of 352×288 ×24×8×3 / 16=3.48Mbps (352×288 is the CIF transmission resolution, 24 is the transmission rate per second, 8 is the transmission unit from byte to bit, and 3 is the occupation of one pixel of the true color picture bytes), which is quite network-intensive

[0006] 3. Carry out simple image processing. Since this type of image monitoring system lacks consideration in light filtering algorithms, the detection effect of moving images is easily disturbed by weather factors, and it is easy for criminals to seize the gap

And this kind of image monitoring system only judges whether the image has changed in terms of image detection, but does not consider the movement of objects in the image, which is easy to cause the flood peak phenomenon of continuously sending pictures to users when moving objects appear , which is likely to cause network congestion and cause a certain amount of waste

[0007] In addition, for the monitoring system that performs simple image processing, the compression algorithm currently used has low compression efficiency, not only the amount of compressed data is huge, but also the compression speed is slow, and the details of the image are lost, which cannot achieve the purpose of conveying accurate information to users in real time

[0008] In terms of network transmission, the current system tends to use wireless transmission, but the wireless transmission speed is slow, the wireless signal is easily affected by the environment, and sometimes even loses the signal, and the transmission is unreliable

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