IMAGE PROCESSING

Pothole Detection using Image Processing | Python Projects for Final Year Students

COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Real-Time Pothole Detection Using Deep Learning Pothole Detection using Python, In this project user have to upload input video to model that contains pothole and person and model will recognize the size of pothole like height and width of pothole and provide latitude and longitude details with voice feedback where the pothole is like in […]

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Pothole Detection System using Python | Deep Learning Projects

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Detection of Road Pothole using Image Processing Pothole Detection using Machine Learning, this project mainly focuses on pothole that is besides on roads so this ML model will detect that pothole and calculate the height and width of pothole also estimate the longitude and latitude of road where the pothole. Pothole may be in the

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Pothole Detection using Machine Learning | Pothole Detection using YOLO | Computer Vision Projects

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Pothole Detection using Deep Learning In this blog, we implemented Pothole Detection and Classification using Machine Learning, User have to upload input video and model will detect and classify pothole i.e, Left, Right and Centre with output voice and it will also locate the location of video and this model detect the object and recognize

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Blood Cell Classification using Image Processing | Blood Cell Detection and Counting using Python

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Blood Cell Detection and Counting using Python RBC, WBC, Platelets Counting using Image Processing, In this project user have to upload input image from dataset and model first it will detect and classify the type of blood. User can count RBC, WBC, Platelets and store in separate window. Tkinter is used for developing graphical user

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Blood Cell Counting using Image Processing | Python Projects for Resume

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Blood Cell Count using Digital Image Processing Blood Cell Identification using Image Processing, This project will detect blood cell and make a boundary box in that particular cells with different output color so user can easily identify the cell. These contains RBC, WBC, Platelets, etc. User have to gave blood sample image to machine learning

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Helmet Detection using Machine Learning | Image Processing Projects

COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Helmet and Number Plate Detection Source Code Helmet and Number Plate Detection using Machine Learning, this project works on helmet and number plate detection, This Machine Learning model works on image and video and recognize that rider is without helmet or helmet, if rider is not wearing helmet, then it will make red boundary box

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Lung Cancer Prediction using Machine Learning

COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING, OPENCV /

Lung Cancer Prediction using CNN In this blog, we will show project Lung Cancer Prediction using Machine Learning, user have to gave input values to model and it will predict that person have lung cancer or not, machine learning model will predict the output. Model will provide result with two algorithm i.e., SVC Result, KNN

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Object Detection Project using OpenCV Python | Lost and Found Object in Python

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Object Detection using TensorFlow Python In this blog, we will show project named Lost and Found Object user have to upload image and model will find out that particular object and send alert message on mail. Object Detection with YOLO and OpenCV Software Requirements :- Hardware Requirement:- ☎️ Contact Us For More Queries:- 📲 Call/WhatsApp:

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Loitering Detection System using Machine Learning | Human Activity Recognition using Deep Learning

ARTIFICIAL INTELLIGENCE, COMPUTER VISION, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Loitering Detection System using Artificial Intelligence Loitering detection in public spaces is an important challenge for security and safety. Loitering refers to lingering or waiting in a particular area for an extended period of time without any clear purpose. While occasional brief stops may be harmless, prolonged loitering in restricted or sensitive areas can be

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Plant Leaf Disease Detection using CNN | Machine Learning Projects

ARTIFICIAL INTELLIGENCE, DEEP LEARNING, IMAGE PROCESSING, MACHINE LEARNING /

Plant Leaf Disease Detection and Classification using Image Processing The Plant Leaf Disease Detection project employs neural networks to identify diseases affecting plant leaves. By analyzing leaf images, the system accurately detects signs of diseases such as blight, rust, or powdery mildew. This application aids farmers in timely disease management, preventing crop losses and ensuring

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