Lost person inquiry method and system based on artificial intelligence and big data
A technology of artificial intelligence and big data, applied in the field of lost personnel inquiry method and system, can solve the problems of long DNA detection time, high cost, small screening range, etc., and achieve the effect of narrowing the scope of inquiry
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Embodiment 1
[0035] combined with figure 1 , the present embodiment proposes a missing person inquiry method based on artificial intelligence and big data, and its implementation steps include:
[0036] Collect user avatar information through cameras in public areas, and use artificial intelligence algorithms to extract facial features data of user avatars, and store user avatars and their facial features data in the original database;
[0037] Use big data processing algorithms to clean, deduplicate and analyze the data in the original database, and then store it in the latest database, organize the data contained in the latest database into a 128-bit small data chain, and store it in the query table of the latest database.
[0038] When it is necessary to inquire about the missing person, first obtain the photos of the missing person or their relatives, and use the artificial intelligence algorithm to extract the facial features data in the photos, and then organize the extracted facial ...
Embodiment 2
[0041] combined with figure 2 , the present embodiment proposes a lost personnel inquiry system based on artificial intelligence and big data, and its implementation structure includes an image acquisition and extraction module 1, a data preprocessing module 2, a data regularization module-3, an image acquisition and extraction module 4, Data regularization module 2 5, data screening module 6, footprint query module 7.
[0042] The image collection and extraction module 1 is used to collect user avatars through cameras in public areas, and use artificial intelligence algorithms to extract facial features data of user avatars, and user avatars and facial features data are stored in the original database 8;
[0043] The data preprocessing module 2 is used to clean, deduplicate and analyze the data of the original database 8, and then store it in the latest database 9;
[0044] The data regularization module one 3 is used for regularizing the data contained in the latest databa...
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