Please use this identifier to cite or link to this item: https://elibrary.khec.edu.np:8080/handle/123456789/410
Title: HOME LOAD AUTOMATION AND DOOR SECURITY USING AI
Authors: Arjun Tamang (740407)
Ashish Pradhananga (740408)
Dipendra Bahadur Bogati (740413)
Shreeti Poudel (740449)
Advisor: Er. Dinesh Ghemosu
Keywords: Door Security, ESP-8266, Face recognition, Gesture recognition, Haar Cascade, MQTT Protocol, Raspberry-Pi 4
Issue Date: Aug-2022
College Name: Khwopa Engineering College
Level: Bachelor's Degree
Degree: BE Electronics & communication Engineering
Department Name: Department of Electronics & communication Engineering
Abstract: or a real time video. The pi-camera will take the image of the user and forward it to raspberry pi for comparing the captured image with the image in its database. If the image matches then the raspberry pi sends the electromagnetic signal which will unlock the door. And if it doesn’t match then, then it sends an alert message along with the photo of the user to owner through Gmail. With the remote access control system, you can control the electronic appliances like light, fan, etc. from your smartphone over internet through ESP-8266 and allow entry for other users. Smartphone’s application based control will require an internet connection. Likewise, the home load automation is based on the gesture recognition. One can control the load simply by giving the pre-set gesture as a command in the code. After recognizing the gesture, the raspberry pi sends the signal to ESP-8266 by MQTT Protocol. This project is designed keeping in the mind the complete door security and home load automation. Keywords: Door Security, ESP-8266, Face recognition
URI: https://elibrary.khec.edu.np/handle/123456789/410
Appears in Collections:Electronics & communication Engineering Report

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