Yolo: Human Detection-Based Intelligent Home Automation using IOT

As the Internet of Things (IoT) has revolutionized the way we live and interact with the world around us, the need for a fully automated home is greater than ever. Home Automation allows for the control of electronic devices in your home through the internet, eliminating the need for manual intervention, which makes life much more convenient. In this paper, we present a model for implementing home automation (controlling and monitoring remotely). We also incorporate sensors based on the specific automation needs and utilize the YOLO algorithm to increase efficiency by suggesting the best usage schedule based on user patterns. Our proposed approach for intelligent home automation integrates the YOLO object detection algorithm, which is capable of accurately identifying and locating objects in images and videos, with IoT devices. By using YOLO to detect human presence, we can automate tasks such as turning off lights when no one is in the room, adjusting the thermostat based on occupancy and activating security measures when an unauthorized person is detected. We evaluate the performance of our system using a dataset of human images and demonstrate its high accuracy in detecting and classifying human presence. Our results show that the proposed approach has the potential to greatly enhance the efficiency and convenience of home automation.