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Home Security Using Machine Learning

EasyChair Preprint no. 7697

7 pagesDate: April 2, 2022


With the development of synthetic intelligence and computers vision, face recognition has become a hot topic for pattern recognition. Safety is a very important issue in today's world. Face recognition, or face recognition, is one of the major areas of research from the computer perspective. The development of face recognition systems has also improved and has taken place made plans to lock home doors and an option available is simple and easy to use and very accurate in detecting the face of homeowners. We can now use face recognition to turn on our cell phone phones, make sure to identify the security gates, and in some countries, do to buy. Although there has been a lot of progress made in the face detection and recognition of security, identification, and present objective, there are still problems that prevent progress from reaching or exceeding human-level accuracy. This paper contains image processing and that ML is a machine learning to detect an automatic criminal and detection Python libraries and CV libraries are used to implement the proposed program.

Keyphrases: face detection, image processing, Machine Reading, Security

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {Rajat Jain and Nikunj Jain and Prince Kumar},
  title = {Home Security Using Machine Learning},
  howpublished = {EasyChair Preprint no. 7697},

  year = {EasyChair, 2022}}
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