IJARP
SJIF(2020): 5.702

International Journal of Advanced Research and Publications

High Quality Publications & World Wide Indexing!

Automated Home Safety And Surveillance

Volume 5 - Issue 3, March 2022 Edition
[Download Full Paper]

Author(s)
Jitendra Singh Bisht
Keywords
Computer vision, Raspberry pie 4, Sensors, Relay
Abstract
There lies two aspects to my project one is the detection of intruders and accidents other is the alert and automation system. The detection of intruders and accidents lies in the fact that the camera could detect fire, motion and strangers by using Computer vision. Coming to the alert and automation system, I have used some sensors and microcontroller boards for automating various activities in response to prevailing conditions and alerting the user about the undesirable activities.
References
[1] Face Recognition Homepage, http://www.face-rec.org/algorithms/

[2] OpenCV Homepage, http://opencv.willowgarage.com

[3] Computer Vision Papers, http://www.cvpapers.com/

[4] Wikipedia, Active appearance model http://en.wikipedia.org/wiki/Active-appe-arance-model

[5] Arduino Playground - MQ Gas Sensors https://playground.arduino.cc/Main/MQGasSensors.

[6] Chemiresistor. Wikipedia; 2019.

[7] lmewp1908. In-Depth: How MQ2 Gas/Smoke Sensor Works? & Inter- face It with Arduino. Last Minute Engineers, 2018.

[8] EngineersGarage. Insight - Learn the Working of a Gas Sensor https://www.engineersgarage.com/insight/how-gas-sensor-works.

[9] J. Seebamrungsat, S. Praising and P. Riyamongkol, Fire Detection in the Buildings Using Image Processing, 2014.