Intelligent Cat Recognition and Feeding System Based on Raspberry Pi and OpenCV Vision Technology

Dong-Xu Pan, Hao-Lin Ye, Chih-Ying Chuang

Raspberry Pi 4B; cat face recognition; smart feeder; OpenCV

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.

Received: 18 Apr 2025, Receive in revised form: 02 Jun 2025, Accepted: 07 Jun 2025, Available online: 12 Jun 2025

10.22161/ijaers.126.3