Please use this identifier to cite or link to this item:
https://elibrary.khec.edu.np:8080/handle/123456789/410
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.advisor | Er. Dinesh Ghemosu | - |
dc.contributor.author | Arjun Tamang (740407) | - |
dc.contributor.author | Ashish Pradhananga (740408) | - |
dc.contributor.author | Dipendra Bahadur Bogati (740413) | - |
dc.contributor.author | Shreeti Poudel (740449) | - |
dc.date.accessioned | 2022-09-13T12:11:15Z | - |
dc.date.available | 2022-09-13T12:11:15Z | - |
dc.date.issued | 2022-08 | - |
dc.identifier.uri | https://elibrary.khec.edu.np/handle/123456789/410 | - |
dc.description.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 | en_US |
dc.language.iso | en | en_US |
dc.subject | Door Security, ESP-8266, Face recognition, Gesture recognition, Haar Cascade, MQTT Protocol, Raspberry-Pi 4 | en_US |
dc.title | HOME LOAD AUTOMATION AND DOOR SECURITY USING AI | en_US |
dc.type | Report | en_US |
local.college.name | Khwopa Engineering College | - |
local.degree.department | Department of Electronics & communication Engineering | - |
local.degree.name | BE Electronics & communication Engineering | - |
local.degree.level | Bachelor's Degree | - |
local.item.accessionnumber | D/1263 | - |
Appears in Collections: | Electronics & communication Engineering Report |
Files in This Item:
File | Description | Size | Format | |
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Home Load Automationand Door Security using AI (Final Year Report).pdf Restricted Access | 2.42 MB | Adobe PDF | View/Open Request a copy |
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