Trans-Global Solutions, Web App

ABOUT PROJECT
Trans-Global Solutions

Category
Transportation Services

TImelines
8 Months – Current

Services We Offered.

  • User Research
  • User Interface Design
  • Workflows
  • Wireframing
  • Prototype
  • Devops
  • SLA
  • Development
  • AI Services

Table of Contents

    Trans Global Solution Logo

    ABOUT PROJECT

    Trans Global Solutions (TGS) is a leading transportation and infrastructure provider specializing in railroad operations, construction, and site development for both public and private sector clients. As part of its commitment to environmental responsibility, TGS joined Operation Clean Sweep—an initiative focused on minimizing plastic pollution, particularly in ocean ecosystems. This project aimed to automate the detection of unsecured hopper car caps, a key contributor to plastic leakage, using AI-powered video analytics.

    Project Objectives

    TGS aimed to replace manual inspections with a scalable, automated system for detecting unsecured caps on plastic hopper cars in real time. The objective was to boost safety, compliance, and inspection efficiency through automation.   Key objectives included:
    • Monitoring multiple camera feeds simultaneously and logging inspection data accurately 
    • Issuing instant alerts to prevent potential spills and safety risks 
    • Reducing manual effort while strengthening environmental compliance

    Problem Statement

    TGS faced operational challenges with its existing inspection process, which required personnel to manually monitor three camera feeds at the CPIP entrance. This approach was not only time-intensive but also left room for human error. Given the volume of train traffic and the critical importance of preventing plastic leakage, the company urgently needed a reliable, automated system to ensure timely detection of unsecured hopper caps and enable rapid corrective actions. 

    Possible solution

    Liquid Technologies partnered with TGS to develop a custom AI-powered video analytics application named Vidan. The system was designed to detect and classify open or unsecured hopper caps in real time, integrating seamlessly with TGS’s on-premise MS-SQL database for structured data storage. Each incident was logged with details such as equipment ID, time, alert type, and location. Instant alerts enabled TGS teams to act quickly, reducing the dependency on manual oversight and streamlining operational workflows across the inspection process.

    Our Process

    The design process section is a crucial part of your UI/UX case study. It showcases your problem-solving methodology and the steps taken to arrive at the final design solution

    Style Guide

    Audit Flows

    A comprehensive audit mechanism was implemented to track data accuracy, inspection reliability, and compliance with environmental protocols, ensuring transparency and maintaining operational integrity at every step.

    Low-Fidelity Prototypes

    Business Intelligence Dashboard Wireframes

    Workflow Automation Interface

    Conclusion

    Through its collaboration with Liquid Technologies, TGS successfully transitioned from manual inspections to a highly efficient, AI-powered video analytics system. The Vidan platform significantly improved environmental safety by enabling timely responses to unsecured hopper caps while optimizing internal resource allocation and strengthening regulatory compliance. This project showcased Liquid Technologies’ commitment to delivering practical, intelligent solutions that drive sustainable operations, long-term environmental impact, and measurable business value. 

    As other projects and development opportunities arise, we’re confident we can turn to Liquid Technologies to help us.

    Ryan Westmeyer

    Director of Systems and Technologies

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