Built-in intelligent network video camera with recognition function

Abstract

The utility model relates to an embedded type intelligent network video camera with recognition functions, which adopts the most advanced design pattern of embedded digital circuits and integrates image acquisition, compression, storage, specific content identification, transmission, and the control technique (if necessary) into a whole. Hardware design and software design are combined to achieve flexible application, presettable functions, network management, network configuration, and other purposes. The utility model adopts CMOS image acquisition units to conduct the original image acquisition with a large DSP as the master core, the programmability of which improves the system tailoring property and reduces the system development costs. At the same time, the utility model can materialize feature extraction, target identification with the powerful DSP computing capacity to realize the intelligentization of video cameras. The video cameras are also provided with complete video output interfaces to directly furnish the image outputs of field installation and surveillance interfaces; the network interface supports the TCP/IP protocol and provides the signal transmission channel, and can conduct data upload through the remote computer control interface. The utility model also has the order instruction and set-up functions to achieve the purpose of remote control, thus laying a sound foundation for future establishment of regional security monitoring systems.

Description

technical field [0001] The invention relates to an embedded intelligent network camera, which adopts the most advanced embedded digital circuit design mode and integrates image acquisition, compression, storage, specific content identification, transmission and control technology when necessary. Combine hardware design with software design. To achieve flexible applications, preset functions, network management, network settings and other purposes. Embed license plate recognition, iris recognition and other pattern recognition algorithms in the DSP core to realize the extraction of object features and achieve the "intelligence" of the camera. Background technique [0002] With the development of science and technology, the traditional video surveillance system that requires dedicated personnel is increasingly unable to meet the increasing requirements of today's society for surveillance systems, showing many defects, such as waste of human resources, inaccurate and timely al...

AI Technical Summary

Problems solved by technology

[0004] For the traditional monitoring and defense systems commonly used at present, due to the limitation of network transmission bandwidth, it is impossible to transmit many real-time images to the processing center for identification and processing

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