Products
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License Plate Detection & Recognition
Overview: This project focuses on detecting vehicle license plates and recognizing them using Optical Character Recognition (OCR). The system uses the YOLOv8l model for real-time license plate detection and extracts the plate’s information from images. The goal is to convert…
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Detect Car Direction
Overview: This project focuses on detecting and counting cars moving in different directions (north, south, east, west) using computer vision. The YOLOv8l model is used to process images of size 640×640, with the ability to detect up to 10 different…
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Car detection & tracking with Speed
Overview: This project focuses on tracking vehicles and calculating their speed using the YOLOv8 model. With a dataset of 4680 images, the system tracks cars and trucks, calculating speed based on distance and time as vehicles cross designated lines on…
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Car detection & tracking with counting
Overview: This project focuses on detecting, tracking, and counting vehicles as they enter and exit a designated zone using the YOLOv8l model. The system operates in real time to identify vehicles and track their movement through specified lines to determine…
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Car detection & tracking (DeepSort)
Overview: This project aims to track and count cars using the Deep Sort algorithm integrated with the YOLOv8l model. The system detects and tracks vehicles in real time, allowing for accurate counting across multiple vehicle classes. It was trained on…
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Object Blurring
Overview: This project demonstrates object blurring in computer vision, using the YOLOv8l model to detect and blur specific objects within images. It was trained on a dataset of 4680 images across 10 vehicle classes (e.g., cars, trucks) to apply blur…
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FaceDetection & GenderClassification
Overview: This project focuses on detecting faces and classifying gender using the YOLOv8l model. With a dataset of 1369 images, the system classifies faces into two categories: male and female. The goal is to accurately detect and recognize gender in…
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TrafficLights Detection & Recognition
Overview: This project involves detecting and recognizing traffic light colors using computer vision techniques. It leverages the YOLOv8l model, trained on 999 images to classify traffic lights into three categories: red, yellow, and green. The project aims to deliver accurate…
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Car segmentation & tracking (DeepSort)
Overview: This project focuses on car segmentation and tracking using the YOLOv8l model and the Deep Sort algorithm. It processes images to segment and count vehicles, using a dataset of 4680 images. The system is designed to track cars across…
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Helmet Segmentation
Overview: This project focuses on helmet detection and segmentation using computer vision. It uses the YOLOv8l model trained on 145 images to detect whether helmets are being worn in real-time. The system aims to improve workplace safety by automatically checking…
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Crack Segmentation
Overview: The Crack Segmentation project is aimed at detecting road potholes using computer vision to improve road conditions. The system is built using YOLOv8l, and it processes a dataset of 1551 images to identify cracks, contributing to road maintenance and…
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Object segmentation
Overview: The Object Segmentation project aims to detect cars using YOLOv8m, a powerful object detection model. The system processes images at 640×640 resolution and is trained to detect and segment vehicles, including cars and trucks, across 10 different classes. The…
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Protective equipment detection
Overview: This project focuses on detecting protective equipment such as helmets and jackets using the YOLOv8m model. It processes 3235 images and classifies seven different protective equipment types to enhance safety in environments like construction sites. The model run 90…
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Car detection
Overview: This project aims to detect cars and other vehicles using YOLOv8m, a real-time object detection model. The model processes 240 images and identifies up to 10 vehicle classes, including cars and trucks. With 50 training epochs and a 70/20/10…
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Pothole detection
Overview: This pothole detection project utilizes YOLOv8m to identify and classify potholes in road conditions. The model processes a dataset of 665 images to accurately detect potholes and help improve road maintenance and safety. After 50 training epochs with rotation…
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Bike Sales Report (Main Dashboard)
Overview: The Bike Sales Report is a dynamic PowerBI dashboard designed for a bicycle sales company. It provides detailed insights into sales, profits, orders, and return rates, offering an interactive experience for users to explore data trends and comparisons. Screenshots…
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Bike Sales Report (Product Detail)
Overview: The Bike Sales Report (Product Detail) provides detailed insights into individual product performance within a bicycle sales company. From the main dashboard, users can navigate directly to the Product Detail page to view in-depth metrics, including sales, profits, and…
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Bike Sales Report (Customer Detail)
Overview: The Bike Sales Report (Customer Detail) in PowerBI provides insights into customer behavior and contributions to sales. It highlights key metrics such as the number of customers, sales per person, orders by category, and customer rankings. This section gives…
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Bike Sales Report (Map)
Overview: The Bike Sales Report (Map) in PowerBI provides a geographic representation of bicycle sales data. The map uses bubble sizes to indicate the volume of orders, making it easy for users to visually assess the contribution of each country…
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Bike Sales Report (Decomposition Tree)
Overview: The Bike Sales Report (Decomposition Tree) in PowerBI visually breaks down the contributions of various factors to overall bicycle sales. This tree structure helps users analyze how different elements like product categories, customer segments, and regions impact sales figures.…
Portfolio 