Ladle Vision

♾️ Problem Statement

Hot metal, Steel Ladle, and Scrap pot Tracking by auto-capturing the Ladle number and locations at SMS-1 and SMS-2.

♾️ Solution

• Here is a demonstration video of LadleVision in action:

• LadleVision relies on image processing and computer vision to detect and track ladles.
• Cameras are strategically placed to capture ladle images, and optical character recognition (OCR) identifies ladle numbers.
• A matching algorithm tracks ladles across different camera views, determining their locations. Ladle data, including numbers and positions, is transmitted to a central server in real time.
• This central server performs data analytics, providing insights like circulation times and maintenance predictions, optimizing ladle management.

💡 Features

• Admin Authentication
• Dashboard
• Mapping of Ladles
• Halts Detection
• Notifications
• Maintenance
• Statistics
• Temp. Variation
• Avg. Turnaround Time
• Avg. Circulation Time
• Reports Download

⚙️ Built With

The technologies and tools used are:

• HTML
• CSS
• Javascript
• Python
• NodeJS
• ExpressJS
• Bootstrap

🧑‍💻 Getting Started

Installation

1. Clone the repository

   git clone https://github.com/siddhesh-desai/LadleVision.git

2. Install the dependencies:

   npm i

Some Glimpses of WorkConnect

• Home Page

• Admin Dashboard

• Statistics