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Our Work · IoT

AI Vehicle Classification

Real-time vehicle classification from standard IP cameras

Overview

Project at a Glance

Industry
  • Industrial IoT, Automation & Connected Operations
Services
  • Computer Vision Development
  • Real-Time Video Analytics
  • Tolling & Audit Support
Region

Pakistan

Key Highlights
  • Simple IP Cameras

    Low hardware overhead

  • Pakistan

    Client Region

  • Broad Categories

    Motorbikes → Trucks

Capabilities

Key Features

Identifying what limits automated vehicle classification in practice, and solving each with camera-based computer vision.

Real-Time Classification

01 / 05

Classifies vehicles directly from live IP-camera feeds.

The challenge

Classification Lagged Behind the Traffic

Batch review of recorded footage cannot support workflows that need a decision while the vehicle is still at the point of capture.

Key Challenges & Solutions

Problems we solve

The operational hurdles that stood between the business and its goals.

  1. Batch review of recorded footage cannot support workflows that need a decision while the vehicle is still at the point of capture.

    Our Solution

    Real-Time Classification

    Classifies vehicles directly from live IP-camera feeds.

Solutions built for IoT

  • AI
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Technology

Technology Stack

A modern, scalable technology stack built for performance, security and long-term growth.

  • AWS
  • Azure
  • GCP
  • Python
  • Go
  • Node.js
  • PyTorch
  • TensorFlow
  • AWS
  • Azure
  • GCP
  • Python
  • Go
  • Node.js
  • PyTorch
  • TensorFlow
End Results

Measurable results, delivered

What the system delivers camera-based vehicle classification layer.

Scoreboard
  • Simple IP Cameras

    Low hardware overhead

  • Pakistan

    Client Region

  • Broad Categories

    Motorbikes → Trucks

Impact Path01 / 05
Outcome 01

Classified vehicles in real time directly from live IP-camera feeds.

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