Software Copyrights

This software calculates objective standard work times by analyzing process-level energy consumption data collected during manufacturing operations. Instead of relying only on manual estimates, it uses measurable production signals to evaluate how long a task should take under consistent operating conditions, making it useful for productivity analysis, process benchmarking, and more data-driven factory management.

This program processes large batches of plant images to measure canopy area and classify growth stages using image segmentation and rule-based analysis. It is designed to support agricultural and biological research workflows where many samples must be analyzed consistently, helping researchers reduce manual measurement time while improving the repeatability of plant growth evaluation.

This software stores, organizes, and summarizes plant area analysis results, then exports them into standardized reporting formats for research and documentation. It was built to support agricultural data workflows by making it easier to track measurements over time, prepare formal reports, and maintain a structured record of experimental results for later comparison and review.

This advanced AI system integrates real-time object detection, multi-object tracking, motion prediction, and occlusion recovery into a single workflow. It is intended for environments where objects move dynamically and may become partially hidden, allowing the system to maintain more stable tracking performance and improve the reliability of real-time monitoring, video analysis, and intelligent surveillance applications.

This document classification software combines fuzzy string matching with OCR-based validation to handle noisy, inconsistent, or partially incomplete records. It was developed to improve automated document sorting in situations where exact text matching is not reliable, helping systems identify the most likely document category even when scanned text quality, formatting, or spelling varies across inputs.