Intelligent Cat Recognition and Feeding System Based on Raspberry Pi and OpenCV Vision Technology
Year: 2025
Type: article
Abstract: To address the issue of feeding outdoor cats, this study designed an intelligent cat recognition and feeding system. In terms of hardware, it integrates a Raspberry Pi 4B with OpenCV to combine ultrasonic sensor cameras, servos, and pressure sensors, forming a dynamic monitoring, characteristic identification, and precise feeding operation process. In software, OpenCV is used for cat face recognition, and Python scripts are employed to coordinate the work of sensors and actuators. The response time of the system can be controlled to be below 4 seconds. In the accurate recognition and feeding management of stray cats, the effect is quite significant. The adoption of low-cost hardware and lightweight control strategies has endowed an operational approach that is both engineering innovative and socially meaningful, enhancing the efficiency of outdoor stray cat management and facilitating the search for lost pets.
Authors: Dong-Xu Pan, Hao-Lin Ye, Chih-Ying Chuang
Institution: Dongguan University of Technology
Language: English
Topic: IoT-based Smart Home Systems
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: diamond
OpenAlex ID: W4411284377