Lost person information matching method and device, computer equipment and storage medium

Abstract

The invention relates to the field of big data processing, in particular to a lost person information matching method and device, computer equipment and a storage medium. The lost person information matching method comprises the following steps: receiving a to-be-detected image sent by a first terminal, wherein the to-be-detected image carries an attribute identifier; performing face recognition on the to-be-detected image to obtain a face image; matching the face image with an existing image stored in a first storage server corresponding to the attribute identifier; when the matching degree is larger than a preset value, generating lost person matching information according to the matching degree larger than the preset value and the attribute information corresponding to the correspondingexisting image, and sending the lost person matching information to the first terminal to be displayed; obtaining a check record of the lost person matching information by the first terminal; and sending the viewing record to a second terminal corresponding to the existing image, so that the second terminal establishes a connection with the first terminal according to the personnel contact information corresponding to the first terminal. By adopting the lost person information matching method, two-way contact between the discoverer of the lost person and the case reporter can be established.

Description

technical field [0001] The present application relates to the field of big data technology, in particular to a missing person information matching method, device, computer equipment and storage medium. Background technique [0002] At present, the existing people tracing platform mainly uploads the relevant information and photos of the missing person through the reporter. After someone finds the suspected missing person, he enters the searched text information or takes a photo and uploads it to the platform. The photos of the missing person are compared to get a matching result, and the finder can get in touch with the reporter by checking the relevant information of the known missing person with a high matching degree. [0003] However, this way of establishing offline contact is one-way. The premise of establishing contact is usually based on the finder's judgment on the degree of matching and related information. The method of obtaining clues and information about missi...

AI Technical Summary

Problems solved by technology

[0003] However, this way of establishing offline contact is one-way. The premise of establishing contact is usually based on the finder's judgment on the degree of matching and related information. The method of obtaining clue information about missing persons is relatively passive, and the information chain between the discoverer and the reporter is broken

For example, if the finder clicks to view the relevant information, based on the non-portrait information such as the lost location, comparison of human eye appearance, and feature description, and the information of the suspected lost person, a comprehensive judgment is made, and the suspected lost person found is a known lost person. If the possibility is low, they will give up contacting the informant, but the finder is not familiar with the lost person, so the one-way judgment of such photos is not accurate, so only the finder makes the judgment, resulting in the loss of the missing person. The recovery rate is low, and the one-way judgment leads to information asymmetry between the discoverer and the reporter

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