INTELLIGENT PET RECOGNITION AND FEEDING SYSTEM USING IMAGE PROCESSING TECHNIQUES
Keywords:
Artificial Intelligence (AI), Machine Learning (ML), Image Processing, Pet Feeding System, Convolutional Neural Network (CNN), Pet Recognition, Automated Feeding.Abstract
The increasing integration of AI and ML into daily life has created new opportunities for sophisticated pet care solutions. This project presents an automated and customizable pet feeding system using image processing technology. The device employs image recognition algorithms and a camera module to recognize certain dogs and dispense the appropriate amount of food based on their individual nutritional requirements. Particularly in households with several dogs, this prevents food theft or excessive consumption. The system utilizes image processing techniques and machine learning classification models, such as convolutional neural networks, for accurate pet identification. The feeding mechanism engages to mechanically dispense food upon the recognitionand verification of a pet. This contactless approach to pet care enhances hygiene, efficiency, and functionality. We record feeding schedules and behaviors, together with any acquired images, to track pet feeding times. Integrating the system with a web application may improve accessibility. This will enable users to remotely modify feeding schedules, get notifications, and track feeding records. The ideal approach for pet health management and efficient feeding is an intelligent, automated, and tailored system.
