Abstract:
This analysis aims to identify Unauthorized Persons to ensure the protection of an
organization. Essentially, this is a hybrid of two forms of detection. The first detects known
and unknown faces, while the second detects ID cards. An image dataset should be
connected with the model. Using the dataset images, we were able to identify faces and
ID cards. The face recognition library and Histogram of Oriented Gradients (HOG) were
used to recognize the faces, and the You Only Look Once (YOLO) V3 model was used to
detect the ID card. From the test image our model will be able to recognize both the face
and the object. Our model will show the person's name and draw a rectangular green shape
around the face region if it recognizes faces. If the face does not match the encoded faces,
the system will mark it as unknown, and if the face has covered by a hand or other object,
the system will mark it as unknown and draw a red shape around the face area. If our model
detects the Id card, it will make a rectangle shape in the detected region and color it green,
just as it does with faces. If the model is unable to detect the identification card, it will draw
a rectangle below the neck and paint it red.