IMAGE PROCESSING

AI based Smart Online Exam Proctoring System using Python | Machine Learning Projects

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Online Exam Proctoring System based on Artificial Intelligence Exam Proctoring System using Artificial Intelligence, In this system it is integrated with face emotion recognition model where it will identify the person facial emotion, Fer-2013 dataset is used for detection of person emotion, it contains large number of person images dataset with different emotions like Angry, […]

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Exam Evaluation System in Computer Vision | Automatic Subjective Answer Checker using Python

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Exam Assesment System using Python An exam assessment system using Python helps teachers grade tests quickly and accurately. With Python, teachers can input the answers and rules for grading, and the program checks students’ answers against those rules. It makes grading easier and ensures fairness. Python’s tools help with tasks like reading text and analyzing

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Drug Addicted Person Detection using Machine Learning | Face Recognition using OpenCV Python

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Drug Addiction Prediction Using Machine Learning Drug Addicted Person Detection from Face Recognition using Machine Learning, this project interface is website based. When user run the python script it will generate URL user have to copy that particular URL and paste in any browser so that it will open web page where it will provide

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Diabetic Retinopathy Prediction using Machine Learning | Python Projects for Final Year Students

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Diabetic Retinopathy Detection using Deep Learning Retinal diseases such as diabetic retinopathy, glaucoma, and age-related macular degeneration are leading causes of blindness worldwide. Early detection and treatment of these diseases are crucial for preventing vision loss. This project aims to develop an automated retinal disease detection system using machine learning algorithms to analyze fundus images

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Currency Detection using Image Processing | Indian Currency Recognition using Image Processing

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Indian Currency Recognition using Machine Learning Currency Detection and Recognition using Image Processing A Currency Detection and Recognition System (CDRS) is a technology that enables machines or computer systems to automatically identify and distinguish different types of currencies. This system is particularly useful in various applications, such as automated teller machines (ATMs), currency exchange counters,

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Crowd Density Estimation using Machine Learning | Machine Learning Projects for Final Year

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Crowd Density Estimation using Deep Learning Crowd Counting and Density Based Estimation refers to counting the number of people with density estimation present in certain area. Day to day population density increases and it does complexity of the calculations. Advancement in Deep Convolution Neural Network (CNN) and it largely depend on dataset. The population is

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Crowd Counting | Object Tracking and Counting using YOLO Python

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Crowd Counting using Deep Learning Crowd Counting System using Machine Learning, this system will count the total number of person inside the frame, it will create a rectangular box and first it will detect the person and count the number of person from that particular boundary box. If the user tries to count manually then

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Crowd Counting using YOLO Python | Engineering Projects for CSE Students

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People Counting using OpenCV Python People Counting is a technique to count the number of people or objects in particular picture. There are many use cases for counting the number of people from crowd image or video, like if there is covid disease spread so we can stop from large crowd gathering from any particular

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Satellite Imagery Clouds Cover Removal in ArcGIS | Removing Cloud Cover from Satellite Imagery

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Cloud Removal from Satellite Images using Image Processing, Project developed using web interface, user have to first upload of cloudy satellite image then you have to click on submit button, after submitting then it will load the model, this process will take time because we are processing and using GAN Network that takes heavy computational

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Blood Cancer Detection using Machine Learning | Image Processing Projects

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Blood Cancer Detection using Deep Learning Blood Cancer Detection using Neural Networks introduces a diagnostic tool that aids in the early detection of blood cancer through medical imaging analysis. By training on diverse datasets, the neural network can identify abnormalities in blood cell morphology, providing timely and accurate insights for medical professionals. This application enhances

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