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Pet Cat Activity Monitoring and Stray Cat Detection Using YOLO — AI & Machine Learning project by YenkoDev

Pet Cat Activity Monitoring and Stray Cat Detection Using YOLO

Software as a Service

No

Category

AI & Machine Learning

Clients

Mapua University

Techstack

YOLOv8Raspberry PiESP32ArduinoPyQt5SIM800L

Purpose

This Mapua University project aimed to build a cloud-accessible cat management system that detects and classifies cats with YOLOv8, characterizes movement from accelerometer data, and keeps pet records with vaccination scheduling for timely healthcare.

Description

A YOLOv8 model running on Raspberry Pi detects, classifies, and tracks cats, distinguishing registered pets from strays. An ESP32 with an accelerometer captures movement activity, an Arduino with a SIM800L module handles alerts over GSM, and a PyQt5 interface ties the system together. Pet profiles, health records, and real-time activity data live in a cloud-hosted database, with built-in vaccination scheduling and health monitoring accessible through the interface.

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