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One key area for development is improving connectivity reliability to ensure consistent operation even during internet disruptions. The food feeder subsystem contains functions such as instant and remote food dispensing and food consumption monitoring. To address these challenges, we aim to develop an automatic pet feeder that uses internet of things (iot) technology and deep learning (dl) techniques
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The device is designed to dispense appropriate food portions, enhancing pet nutrition management and overall health. In the present project, we apply the iot technology to implement an integrated system including pet food feeder, water dispenser, and litter box, which are the three most fundamental. It is crucial to integrate technologies that enable continuous data monitoring
The primary electronic components of the dispenser include an esp32 microcontroller, an ultrasonic sensor, and a load cell
The main objective is to offer owners a reliable solution for feeding their pets. The smart cage integrates arduino technology for automated feeding, temperature and humidity regulation, water monitoring with a ph sensor, and an automatic pvc door with servo motors and ultrasonic sensors to detect pet presence.
