Real-Time Cement Bag Counter for Industrial Conveyor Systems

Project Description:

CemTrack AI is a real-time computer vision solution built to monitor and count cement bags on conveyor belts using object detection and line-crossing logic. Leveraging YOLO-based deep learning models, the system identifies and labels individual cement bags, tracks them as they move, and increases a count each time a bag crosses a predefined virtual line. Designed for industrial environments, this solution ensures accurate inventory tracking and operational transparency with minimal human intervention.

Core Objectives:

• Automate cement bag counting using AI.

• Minimize manual labor and human error in production reporting.

• Enable live tracking of industrial conveyor systems for productivity monitoring.

• Generate accurate timestamps and visual logs for quality audits.

Key Features:

• 🎥 Real-time object detection and tracking.

• 🔁 Persistent bag ID tracking using object IDs.

• 📏 Virtual line logic to ensure precise crossing-based counting.

• 🧾 On-screen visualizations including labeled IDs, detection boxes, and total count.

• 🕓 Timestamp overlay for audit and monitoring.

• 💾 Optional: Save annotated video footage for documentation.

Technologies Used:

• YOLO – for object detection and tracking.

• OpenCV – for video processing, frame handling, and overlay graphics.

• Python – backend scripting and logic.

Use Cases:

• ✅ Cement manufacturing and packaging plants.

• ✅ Real-time inventory logging in bulk packaging systems.

• ✅ Conveyor belt monitoring in mining, grain, or fertilizer industries.

• ✅ Automating audit compliance in large-scale industrial units.

Customize Enhancements:

• 📊 Export count logs to CSV or industrial database systems (e.g., SAP, ERP).

• 🔔 Add real-time alert system for conveyor errors or missed bags.

• 🌐 Remote monitoring dashboard integration.

• 🧠 Incorporate defect detection (e.g., torn or misaligned bags).

• 📱 Deploy as an edge solution on Jetson Nano or Raspberry Pi for compact setups.

Conclusion:

CemTrack AI enhances operational efficiency in cement plants by automating a labor-intensive process using AI-driven video analytics. With robust YOLO performance and scalable architecture, this system is designed to integrate into existing camera infrastructure for smarter industrial monitoring.