INTERNET OF THINGS-BASED ANIMAL MONITORING AND NOTIFICATION SYSTEM USING TELEGRAM BOT AND CLOUD SERVER
DOI:
https://doi.org/10.33480/nfvxfq55Keywords:
Cloud Server, ESP32-CAM, Internet of Things, Telegram Bot, YOLOv8Abstract
Damage to agricultural land caused by livestock disturbance remains a common problem in agricultural areas in Sumbawa Regency. Manual monitoring makes it difficult for farmers to supervise remote agricultural areas continuously and in real time. This study implements an Internet of Things-based animal monitoring and notification system using ESP32-CAM, a Passive Infrared sensor, Telegram Bot, and a Virtual Private Server (VPS). When motion is detected, the ESP32-CAM captures an image and transmits it to the VPS through HTTP. The VPS performs object detection using a YOLOv8 model and sends the detection result and captured image to the user through Telegram Bot. The system also activates a local alarm through a relay so that the warning mechanism can operate when Internet communication is unavailable. The research stages include problem identification, literature review, system design, hardware and software implementation, testing, and analysis. Experimental results show that image transmission, server-side YOLOv8 inference, Telegram notification, and local alarm functions operate successfully. The measured end-to-end notification delay is approximately 5–10 seconds, depending on network conditions. The proposed architecture demonstrates the feasibility of combining edge image acquisition, cloud-based inference, and remote notification for agricultural field monitoring.
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