Automated Raw Material Tracking System for GPC Infrastructure Pvt. Ltd.

GPC Infrastructure Pvt. Ltd. specializes in infrastructure development services including:

  • Building Construction Services
  • Commercial Construction Projects
  • Residential Construction Projects

The company operates multiple Damar (asphalt/bitumen mix) plants across Banaskantha, Gujarat and manages a large volume of incoming and outgoing raw materials transported via trucks.

Accurate tracking of these materials is critical for operational efficiency and financial transparency.

GPC Infrastructure was facing major operational difficulties in tracking incoming and outgoing raw materials, particularly Damar used in road construction.

The entire tracking system relied on traditional manual processes using Excel sheets, which created several operational challenges.

Key Challenges

Manual Data Entry

Operators manually recorded truck weights and material details in Excel files, making the process slow and inefficient.

Time-Consuming Data Analysis

Because the data was scattered across multiple spreadsheets, generating reports and key operational metrics required additional time and manual effort.

Dependence on Human Operators

A dedicated operator was required to record every truck entry and exit at the weighbridge, increasing labor dependency.

Risk of Human Error

Manual data entry increased the chances of incorrect entries and data inconsistencies.

Risk of Malicious Activity

Because the system depended on manual logging, there were instances where data could be manipulated, leading to possibilities of malicious entries or bribery-related discrepancies.

These operational inefficiencies prompted GPC Infrastructure to search for a more reliable and automated system.


After analyzing the client’s workflow and operational challenges, Zikasha designed a simple yet highly impactful automation solution.

Instead of relying on manual data entry, we introduced a camera-assisted automated truck tracking system integrated with intelligent software processing.

The system automates the entire process of capturing truck data, extracting weight values, and storing the information securely in the cloud.

This solution significantly reduces human intervention while ensuring accuracy, transparency, and operational efficiency.


The implemented system uses a camera-based monitoring system combined with intelligent image processing.

Automated Image Capture

When a truck arrives at the weighbridge, cameras automatically capture multiple images of the vehicle from different angles:

  • Front view
  • Back view
  • Side view
  • Top view

These images provide visual proof of every truck entry and exit.

Automatic Weight Capture

Once the truck stabilizes on the weighbridge, the system captures a final image of the digital weight display.

The captured image is then processed using object text detection (OCR technology) to automatically extract the weight value.

Intelligent Data Processing

The system automatically processes:

  • Truck entry data
  • Incoming raw material loads
  • Outgoing material dispatch

All data is then stored securely in the cloud-based database.


To give the client full operational visibility, we developed a web-based Admin Panel. Admin dashboard allows the business owner and management team to monitor operations in real time.

Key Admin Features

Live Truck Entry Monitoring

Admins can see trucks entering or exiting the weighbridge in real time.

Image-Based Verification

Every truck record includes captured images that serve as proof of the transaction.

Incoming & Outgoing Load Tracking

The system tracks:

  • Daily incoming material loads
  • Daily outgoing material dispatch

Analytics and Operational Insights

Admins can view important operational metrics directly from the dashboard.

Data Import & Export

The system supports easy data import and export, enabling the business to generate reports for internal analysis and compliance purposes.


Automated Truck Monitoring

Camera-based monitoring captures truck movements automatically without requiring manual input.

Image-Based Proof System

Multiple images are captured for each truck entry to ensure full transparency and accountability.

OCR-Based Weight Detection

The system uses object text detection technology to read the weight directly from the weighbridge display.

Cloud Data Storage

All records are securely stored in the cloud, making the system reliable and accessible from anywhere.

Real-Time Operational Dashboard

Management can monitor plant operations through a centralized admin dashboard.

Data Export and Reporting

Admins can export operational data for analysis, reporting, and record keeping.


AreaImpact
Process AutomationThe manual weighbridge logging system was fully automated using camera and OCR technology.
Operational EfficiencyTruck entry and exit tracking became faster and required minimal human intervention.
TransparencyCaptured images provide visual proof for every truck transaction, ensuring data authenticity.
Reduced Fraud RiskThe automated system significantly reduces the chances of malicious data manipulation or bribery.
Real-Time MonitoringBusiness owners can now monitor live truck movements and material loads through the admin panel.
Data AccuracyAutomatic weight detection eliminates manual entry errors.
Centralized Data StorageAll operational data is securely stored in the cloud for easy access and reporting.
Cost-Effective SolutionThe implemented system is simple, affordable, and tailored specifically to the client’s operational needs.

The client responded very positively to the solution and appreciated how the system automated the entire process while improving transparency and control.

The new system helped GPC Infrastructure:

  • Reduce operational complexity
  • Improve data reliability
  • Minimize the risk of manipulation and bribery
  • Monitor material movement with confidence