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Phasuwut

Full Stack · AI Engineer · Thailand

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© 2026 Phasuwut Chunnapiya

[email protected]

Real-Time Smart Home Surveillance System for Parcel Delivery and Fence-Climbing Intrusion Detection

Extended smart home monitoring with segmentation, tracking, and instant intrusion alerts. This project demonstrates practical execution from architecture and implementation to measurable delivery outcomes.

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Personal ProjectsYear 2026

Project Overview

Objective

Extended smart home monitoring with segmentation, tracking, and instant intrusion alerts.

Stack

YOLOv9-segByteTrackTelegram Bot API

Delivery highlights

  • Developed a real-time smart home surveillance system using YOLOv9-seg for instance segmentation and ByteTrack for multi-object tracking to monitor parcel deliveries and detect fenceclimbing intrusions. The system tracks detected objects across video frames and analyzes their movement relative to predefined boundary lines (e.g., fence areas). When a tracked object crosses the boundary, the system automatically triggers a Telegram alert notification, enabling homeowners to receive immediate real-time warnings and respond quickly to potential security events
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Related Projects

3 items

Parcel and Person Multi-Object Tracking

Personal ProjectsYear: 2026

Built multi-object tracking system for parcels and people with persistent IDs.

Electric Vehicle Charger Socket Detection and Tracking

Personal ProjectsYear: 2025

Built detection plus tracking pipeline for EV sockets with persistent IDs.

Parcel and Person Instant Segmentation

Personal ProjectsYear: 2026

Built parcel/person segmentation benchmark with unified dataset and fair model comparison.