Design Development and Evaluation of Electronic Broom for Household Cleaning

Cleanliness is a very vital aspect of our life, of which household cleaning plays an important role. With the increasing demand for automated cleaning solutions, electronic bots have become an attractive option for many households. These bots are designed to navigate and clean various surfaces, minimizing the need for human intervention. However, traditional electronic bots have limitations, such as inaccurate dust detection and obstacles avoidance. To address these limitations, the proposed model demonstrates the development of an electronic bot that can be controlled manually as well as automatically through the use of an android application. It has been integrated with computer vision for dust prediction using Gray Level Co-occurrence Matrix (GLCM) algorithm and an ultrasonic sensor for obstacle avoidance. The bot uses a combination of suction and mopping mechanisms to clean surfaces. The proposed bot aims to improve the efficiency and convenience of household cleaning while reducing the physical effort required from the user, and ensuring that the cleaning is optimized based on the amount of dust present on the floor.