AI-Powered Truck & Bag Monitoring Automation System

Sector Logistics / Warehouse Operations / Computer Vision

Technologies ANPR, OCR, Object Detection, Real-Time Data Processing

Project Overview

Industrial facilities handling bulk materials such as cement, grains, fertilizer, raw materials, or other bagged products often depend on manual processes to record truck movements and count bags during loading and unloading.

We developed an AI-powered truck and material monitoring solution that uses cameras and computer vision to automatically identify incoming and outgoing trucks, recognize their number plates, detect bags/boris, and calculate the quantity of material moving through the facility. The captured information is automatically transferred into the central application/ERP system, creating a digital record of truck number, material quantity, movement type, date, time, and transaction status.

Industry Problems

Challenges in Truck & Material Movement Management

Manual Truck Number Recording

Security or warehouse teams had to manually note truck registration numbers when vehicles entered or exited the facility, creating additional operational effort.

Manual Bag/Bori Counting

Workers had to manually count bags during loading and unloading activities, making the process repetitive and vulnerable to counting mistakes.

Time-Consuming Gate Operations

Recording truck details, checking material quantities, and maintaining movement records manually slowed down the overall loading and unloading process.

Risk of Human Errors

Manual number-plate recording and bag counting could result in incorrect truck numbers, incorrect quantities, duplicate entries, or missing records.

Lack of Real-Time Monitoring

Management had limited visibility into which truck had arrived, how much material was loaded or unloaded, and whether the transaction had been completed.

Difficult Transaction Tracking

Connecting the truck number with the actual quantity of material moved required manual reconciliation between gate records, warehouse records, and material documents.

Our Solutions

How AI Automation Transformed Truck & Material Monitoring

AI-Based Truck Detection

We implemented camera-based computer vision to automatically detect trucks approaching the designated entry or exit area.

Utilizes camera-based computer vision for robust, real-time truck detection at checkpoints.
Automatically initiates the identification and monitoring workflow upon a truck's arrival.

Accurately extracts truck registration numbers from the live camera feed.
Automatically links the recognized number plate with the truck's movement transaction.

Automatic Number Plate Recognition

The system uses ANPR/OCR technology to identify and read the truck's registration number from the camera feed.

Automated Truck Entry & Exit Recording

Once the truck number is recognized, the system automatically creates a digital movement record.

Records entry/exit dates, times, gates, and material types seamlessly.
Eliminates the need for gate operators to manually enter basic truck information.

Identifies individual bags accurately as they move through a predefined monitoring zone.
Uses advanced object tracking to capture real-time loading and unloading activity.

AI-Based Bag / Bori Detection

The camera continuously monitors the loading or unloading area and uses computer vision to detect individual bags/boris.

Automated Bag Counting

The AI model counts bags automatically as they cross the defined camera detection area.

Provides an accurate, automated count of materials being moved.
Links the precise calculated quantity with the corresponding truck transaction immediately.

Uses configured zones and movement direction to separate loading and unloading data.
Creates a highly clear, truck-wise digital record of material quantities moving in and out.

Inward & Outward Material Monitoring

The system can distinguish between incoming and outgoing material movement based on the camera location, movement direction, or configured entry/exit zones.

Truck & Material Data Integration

The detected truck number and bag quantity are combined into a single transaction record.

Consolidates truck identities, entry times, and material quantities flawlessly.
Allows warehouse teams to efficiently track material movement against specific vehicles.

Pushes data automatically to an existing ERP or central application structure.
Maintains accurate master records, history logs, and transaction timestamps seamlessly.

Real-Time Application / ERP Update

Once the AI system captures the required information, the data is automatically transferred to the organization's application or ERP system.

Quantity Verification & Exception Monitoring

The automation can also be configured to compare expected and detected quantities.

Automatically calculates the difference between expected bills and AI-counted bags.
Triggers alerts for manual verification whenever a discrepancy or exception is found.

Displays key metrics like trucks inside the facility, total bags received, and completed transactions.
Provides managers with complete visibility into camera events and active quantity mismatches.

Centralized Monitoring Dashboard

Management can view truck and material activity from a centralized dashboard.

Impact

Automated Truck Identification: Automatically recognized truck registration numbers using camera-based ANPR and OCR.
Automated Bag Counting: Reduced dependence on manual counting by using AI-based object detection and tracking.
Reduced Manual Data Entry: Automatically captured truck and material movement information and transferred it into the application.
Improved Operational Efficiency: Reduced repetitive work during truck entry, loading, unloading, and exit processes.
Reduced Counting Errors: Minimized the risk of manual bag-counting and truck-number recording mistakes.
Real-Time Material Visibility: Provided better visibility into incoming and outgoing material quantities.
Truck-Wise Transaction Tracking: Connected truck registration numbers with material quantities and movement records.
Faster Gate & Warehouse Operations: Automated identification and recording helped streamline vehicle and material processing.
Centralized Data Management: Maintained truck, quantity, timestamp, and movement information in a structured digital system.
Better Auditability: Camera events and transaction records provide a traceable history of material movement.

FAQs

It is an AI-based computer vision solution that automatically detects trucks, reads their number plates, counts bags/boris during loading and unloading, and transfers the captured information into a centralized application or ERP system.

A camera captures the approaching vehicle and the ANPR/OCR engine detects and reads the registration number from the truck's number plate.

Yes. Computer vision detects and tracks individual bags/boris and counts them as they pass through the configured monitoring area.

Yes. The detected bag quantity can be automatically associated with the truck's recognized registration number, creating a complete truck-wise material transaction.

Yes. The AI-generated information can be integrated with an existing ERP, warehouse management system, or custom business application through APIs or other data-integration mechanisms.