Real Time Object Detection & Recognition using Yolo by JARIN TIAS Meraj

Real Time Object Detection & Recognition using Yolo

JARIN TIAS Meraj

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About this service

Summary

I offer real-time object detection and recognition solutions using the powerful YOLOv8 model, specializing in tasks like handgun detection and car license plate recognition. What sets me apart is my ability to deliver high-accuracy, real-time performance on custom requirements, with fast turnarounds and smooth handover for seamless integration into your existing systems. Whether for security or tracking applications, I ensure reliable, scalable solutions tailored to your needs.

Process

Requirement Gathering: Understand project goals (e.g., handgun detection, license plate recognition).

Model Selection & Customization: Choose YOLOv8 and fine-tune it for specific detection tasks.

Dataset Preparation: Collect and annotate data (e.g., handguns, license plates) for custom training.

Model Training & Testing: Train the model and evaluate its accuracy and performance.

Testing & Validation: Perform extensive testing to ensure high accuracy and smooth functionality.

Handover: Deliver the final solution with documentation and ensure easy integration.

What's included

3 days
Project Title: Real-Time Object Detection and Recognition Using YOLOv8 Project Overview: I developed a real-time object detection and recognition system using YOLOv8 for detecting and identifying objects in live video streams. The system is optimized for fast, accurate processing of various objects, including handguns and car license plates. Key Features: Real-Time Detection: Fast and accurate object detection in live video, running at 30-60 FPS. Custom Recognition: Ability to detect specific objects like handguns and license plates with high precision. Outcome: The system provides seamless and efficient real-time detection and recognition for security and vehicle tracking applications.

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