Things I have built (Last updated: 2024-06-01)
This project focuses on developing a vision-based system for analyzing and monitoring the end bending in a large rolling process at Steel factory. The system will employ advanced video capture and processing techniques to ensure precise monitoring and quality control.
This project develops a vision-based system for automated product inspection on a conveyor belt. The system utilizes a camera to capture images of products as they move along the conveyor. These images are then compared to user-defined configuration images.
This C# and PostgreSQL project in WPF framework enhances factory safety by facilitating communication between maintenance engineers and managers for access permissions to machine areas, ensuring a secure working environment.
The TC-net Data Server, a Windows application crafted in C# and PostgreSQL, employs multithreading and asynchronous programming to facilitate real-time data collection and storage in a time series database, ensuring high-volume data handling with superior performance and reliability.
This project is a Windows application developed in C#, Python, and SQL Server. It provides real-time monitoring and tracking for efficient management of customer goods in warehouses. The system also enhances warehouse safety with CCTV monitoring and object detection features.
This AI-driven project analyzes CCTV to detect hazards and unauthorized presence in real-time, setting up danger zones and triggering instant alarms. It integrates with surveillance systems and factory PLCs to automatically control machinery during emergencies.
This project involved developing a WPF application for reading large amount of tag data from OPC UA and writing to InfluxDB (time series database), and a TypeScript Grafana extension for real-time and historical data monitoring.
CCTV Recorder, built using C# on WPF, collects factory video for AI training. It features video controls like Zoom, Rotate, and Record, and allows CCTV configuration for recording purposes.
Rebar Tracking is a Python application with tkinter as its GUI framework, using PostgreSQL for database management. This project designed to monitor and track rebar movement direction and count in a steel factory, offering real-time updates and capturing the transportation path of rebar within the facility.