Identification Algorithm Faces and Criminal Actions
( Pp. 19-31)

Currently, there are a number of unresolved problems in the identification of images. If a person is wearing something on their face, such as a mask or glasses, or at some point part of the face is covered by clothing, hair or an object, then the video surveillance system may lose sight of the person. Identification deteriorates significantly, and recognition of a person occurs only after some time. The purpose of this work is to improve the existing methods of recognition. The paper proposes an algorithm based on the multi-cascade method and the object detection method. This algorithm is able to identify a person by the actions of a criminal nature and by the face by highlighting some parts of the face in the form of squares and rectangles using the computer vision library. As a result of testing, the algorithm showed high detection accuracy using a GPU with 16 GB of video memory.

Hadi N.M., (2022), IDENTIFICATION ALGORITHM FACES AND CRIMINAL ACTIONS. Computational Nanotechnology, 3 => 19-31.

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Kaggle, machine learning, deep convolutional neural network, Kaggle, landmarks.