A Modern Technique for Unauthorized Human Detection and Intimation


Article PDF :

Veiw Full Text PDF

Article type :

Original Article

Author :

Keerthanna G. S | Praveen Kumar P | Vishnu Prasad K | Ms. S. Sri Heera

Volume :

3

Issue :

3

Abstract :

Technological advancements are inevitable and the field of IoT is no exception. The utilization of the technologies in various sectors is highly employed. Even though we use technology in various sectors, the employment of technology for security purposes is very low. The Existing security in various places only CCTV is used for monitoring and recording. Even there are existing security systems where an alert is sent via an email which requires a stable internet connection. It is unlikely that we expect the user to be always connected to an internet source. In the Proposed system, authorized users faces will be trained and stored in a Database. Initially, when an unknown known person enters in the zone the camera module will capture the intruders face. The captured intruders face will be compared with the trained faces in the database. If the persons face doesnt match, the micro controller will send an alert SMS to the recognized user and also the intruders captured image will be E mailed to the user. The authorized user should acknowledge the SMS message. If he fails to acknowledge the message within a threshold time limit, an alert call will be made to the concerned user. By this the user gets intimated in real time. Keerthanna G. S | Praveen Kumar P | Vishnu Prasad K | Ms. S. Sri Heera "A Modern Technique for Unauthorized Human Detection and Intimation" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-3 , April 2019, URL: https://www.ijtsrd.com/papers/ijtsrd21659.pdf Paper URL: https://www.ijtsrd.com/engineering/computer-engineering/21659/a-modern-technique-for-unauthorized-human-detection-and-intimation/keerthanna-g-s

Keyword :

Facerecognition, ImageProcessing, IoT, Securitysystem
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