Year: 2024
Type: article
Abstract: Home automation using computer vision technology is an emerging field that aims to provide seamless and intelligent control of various home appliances and systems. This technology leverages the power of computer vision algorithms to identify and track objects, gestures, and movements, and then use this information to automate various tasks in the home environment. By integrating computer vision technology with home automation systems, homeowners can enjoy the benefits of a more intuitive and personalized home environment. Some of the potential applications of this technology include smart lighting, climate control, security, and entertainment systems. In this abstract, we will explore the key components of home automation using computer vision technology, the benefits and challenges associated with this technology, and some of the promising applications that are currently being developed. In this project we are going to work on home automation using computer vision technique. Normally home automation is controlled by using wireless devices, mobile phone and voice commands which indicated that a user is involved whil0.e accessing devices. In our project we are using facial detection system to check for the presence of human in a particular are and making the devices to operate without and command form the user. Key Words: Computer Vision, Haar Cascade Classifier, Face detection
DOI: 10.55041/ijsrem39461
Authors: Rahul Shyam, Dr. Swarnendu Kumar Chakraborty
Institution: National Institute of Technology Arunachal Pradesh
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4405031924