Projects

Project 1

Retail Store Customer Analysis

This project focuses on helping JavaSweet Shopping Mall optimize its customer and rack management by using YOLO (You Only Look Once) for real-time customer and rack analysis. The system provides insights into customer movements, including the count of individuals entering and exiting the mall.

Objectives

Develop a real-time monitoring system for customer entry and exit.
Analyze customer engagement with racks to optimize rack placement and product arrangement.
Enhance the shopping experience through data-driven insights.

Results

Successfully implemented a system to count customers entering and exiting the store.
Provided actionable insights into rack engagement to improve customer satisfaction.
Helped the mall management make data-informed decisions to boost sales and efficiency.

Project 2

AI Quality Project Organization

This project is tailored for the football manufacturing industry, integrating YOLO and classification models to detect and classify defects in football panels. The system automates quality assurance processes, ensuring consistent product quality while improving efficiency.

Objectives

Develop a defect detection system using YOLO for accurate identification of defective panels.
Implement a classification model to categorize panels for sorting.
Integrate the system with hardware for automated defect detection and sorting.

Results

Achieved high precision in detecting defects on football panels.
Automated panel sorting based on quality classification, reducing manual effort.
Improved production line efficiency and ensured higher product quality standards.

Project 3

Labor Behavior Analysis

This project serves the spare parts manufacturing industry by employing computer vision to monitor and analyze labor behavior. The application provides insights into working hours, missed hours, and other labor-related metrics for better workforce management.

Objectives

Use computer vision to monitor and record labor activity during working hours.
Provide detailed analytics on labor working hours, idle time, and absenteeism.
Support management in identifying productivity bottlenecks and improving labor efficiency.

Results

Delivered an accurate system to track and analyze labor working hours.
Helped the organization identify idle time and improve workforce management.
Increased overall productivity by providing actionable insights into labor behavior.

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