I will develop a realtime vehicle detection, traffic counting system using ai

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syedfaisal100
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syedfaisal100
Syedfaisalabrar

About this gig

AI-Powered Vehicle Detection & Vehicle Counting System


If you're building a traffic monitoring system, smart city platform, parking analytics tool, or surveillance solution, you need a reliable way to detect and count vehicles in real time.

I develop custom AI-powered vehicle detection and vehicle counting systems using modern computer vision and deep learning models.

The system can automatically detect, track, and count vehicles from CCTV cameras, drone footage, traffic cameras, or recorded videos.


Using advanced deep learning models such as YOLO object detection, the solution delivers accurate and scalable vehicle analytics suitable for real-world deployments.


What This AI System Can Do

The vehicle detection system can identify and count multiple vehicle categories such as:

  • Cars
  • Trucks
  • Buses
  • Motorcycles
  • Vans
  • Delivery vehicles

Key capabilities include:

Real-time vehicle detection from video streams

Automatic vehicle counting using virtual counting lines

Multi-class vehicle recognition

Vehicle tracking across frames

Traffic flow analytics

High-accuracy deep learning detection models

The system can process live camera feeds or recorded videos and produce structured traffic data.

Get to know Syedfaisalabrar

Syedfaisalabrar

AI Engineer LLM Apps, RAG Chatbots, AI Automation, Computer Vision

  • FromPakistan
  • Member sinceOct 2021
  • Avg. response time1 hour
  • Last delivery4 years
  • Languages

    English
I build production-ready AI systems using Large Language Models, Retrieval-Augmented Generation (RAG), and computer vision. I help startups and companies transform AI ideas into scalable products — from AI chatbots and document analysis systems to real-time vision monitoring solutions. Services I Offer LLM & AI Applications RAG chatbots for company documents AI agents and automation systems LLM-powered document analysis AI workflow automation Computer Vision Systems Real-time monitoring systems OCR pipelines for document processing Dockerized ML services cloud deployment on AWS / GCP