scholarly journals Visitor/Intruder Monitoring System using Haar-cascade Classifier Algorithm

2020 ◽  
pp. 229-231
Author(s):  
Jenifa G ◽  
Yuvaraj N ◽  
SriPreethaa K R
Keyword(s):  
Machine Learning ◽  
Face Recognition ◽  
Monitoring System ◽  
Face Detection ◽  
Security System ◽  
Machine Learning Algorithms ◽  
Advanced Technology ◽  
Cascade Classifier ◽  
Home Security ◽  
Haar Cascade

Home security system plays a predominant role in the modern era. The purpose of the security systems is to protect the members of the family from intruders. The main idea behind this system is to provide security for residential areas. In today’s world securing our home takes a major role in the society. Surveillance from home to huge industries, plays a significant role in the fulfilment of our security. There are many machine learning algorithms for home security system but Haar-cascade classifier algorithm gives a better result when compared with other machine learning algorithm This system implements a face recognition and face detection using Haar-cascade classifier algorithm, OpenCV libraries are used for training and testing of the face detection process. In future, face recognition will be everywhere in the world. Face recognition is creating a magic in every field with its advanced technology. Visitor/Intruder monitoring system using Machine Learning is used to monitor the person and find whether the person is a known or unknown person from the captured picture. Here LBPH (Local Binary Pattern Histogram) Face Recognizer is used. After capturing the image, it is compared with the available dataset then their respective name and picture is sent to the specified email to alert the owner.

scholarly journals Comprehensive Analysis of Machine Learning Algorithms for Face Detection

2019 ◽  
Vol 8 (10) ◽  
pp. 2479-2482
Keyword(s):  
Machine Learning ◽  
Face Detection ◽  
Processing Speed ◽  
Deep Neural Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Cascade Classifier ◽  
Histogram Of Oriented Gradient ◽  
Haar Cascade ◽  
Common Application

Face detection is the most common application used in security system, cameras, fun face filter apps, etc. many techniques and algorithms are introduced by developers for face detection in real time but all techniques or algorithms does not give best results while applying on all ranges of processors. In this, three machine learning algorithms i.e. Histogram of Oriented Gradient, Haar cascade classifier and deep neural networks implemented on different processors for verifying processing speed of each algorithm on the different processor.

scholarly journals Vibration Guided Automatic Vision for Enhanced Security

2019 ◽  
Vol 9 (2S) ◽  
pp. 301-306
Keyword(s):  
Neural Network ◽  
Face Recognition ◽  
Face Detection ◽  
Security System ◽  
Single Shot ◽  
Human Intervention ◽  
Alert System ◽  
Security Systems ◽  
Home Security ◽  
Shot Detection

The existing security systems are secure but are not smart enough to handle arbitrary scenarios leading to many false triggers of the alert system. Furthermore, these systems require constant human intervention which isdifficult to achieve.They are also vulnerable as they contain many loopholesand the sensors used are easily manipulatable. The proposed system tries to solve this problem in an efficient and a smart way by the use of sensors, AI and IoT which makes the system robust and resistant againstattacks. The system implements advanced face detection via Single Shot Detection and face recognition via Inception Neural Network for recognition of object in a fast and accurate way. This helps the system act according to the situation, thus preventing any damage to theregion which implements this system. In this work the proposed system is implemented and tested as a Home Security System. The system can also be extended to work in other areas like banks, data hubs, museums etc.The overall accuracy of the system was recorded to be 97.95%.

scholarly journals Face Recognition using Haar Cascade Classifier

2021 ◽  
Vol 7 (01) ◽  
pp. 85-87
Author(s):  
Arnav Madan
Keyword(s):  
Machine Learning ◽  
Face Recognition ◽  
High Efficiency ◽  
Learning Technology ◽  
Cascade Classifier ◽  
Haar Cascade ◽  
Security Application

With development of machine learning technology many applications have been revolutionized which earlier usedto utilize high amoun to fresources. Face recognition is a crucial security application. Though this paper we present this application using optimized amount of resources and high efficiency.

scholarly journals Sistem Keamanan Pintu dan Jendela Rumah Berbasih IoT

2020 ◽  
Vol 5 (2) ◽  
pp. 266
Author(s):  
Wahyuni Kurniasih ◽  
Abdul Rakhman ◽  
Irma Salamah
Keyword(s):  
Monitoring System ◽  
Smartphone Application ◽  
The State ◽  
Security System ◽  
Raspberry Pi ◽  
Security Monitoring ◽  
Home Security ◽  
Security Monitoring System ◽  
At Home

The house is the most valuable asset, therefore security at home is also very important. Therefore a home security system is created that combines a microcontroller with an Android smartphone application. The microcontroller used is the Raspberry Pi which is equipped with a camera as a home security monitoring system and various sensors as detectors such as magnetic, PIR sensors and solenoids as automatic door locks. So if the sensors that are installed detect something at home, then the homeowner will immediately get a notification sent by the database to the smartphone application, and the homeowner can monitor the state of the house right then through photos and videos recorded by cameras that have been installed at home.

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