IMAGE PROCESSING

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

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

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

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

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

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

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

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

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

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

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

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

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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Attack detection (binary classification) and Attack classification (multiclass classification)

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

The rise of Internet of Things (IoT) devices has great connectivity and automation across various domains, but it has also exposed networks to a broad range of cyber threats. This project proposes an attack detection system specifically designed for Internet of Things (IoT) devices, using machine learning algorithms to analyze network traffic patterns and identify

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Weapon Detection System using Python | Intelligent Video Surveillance System using Machine Learning

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

Violence Detection System using Machine Learning Abnormal Activity Detection and Alert System in ATM, It is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences

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Human Activity Recognition using TensorFlow | OpenCV | Computer Vision | Deep Learning

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

Abnormal Activity Recognition Based on Deep Learning Abnormal Activity Detection is a crucial monitoring which is used to record anomalous human behavior without human efforts, the model has the ability to automatically take input video and live surveillance suspicious activity. The main objective is to automatically identify and mark occurrences that need human attention using

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Human Activity Recognition using Deep Learning | Violence Detection using Machine Learning

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

Abnormal Activity Detection using Deep Learning Suspicious Activity Detection in videos is a fascinating area of computer vision that aims to automatically identify unusual or anomalous events from video footage. By leveraging machine learning algorithms and computer vision techniques, it becomes possible to develop systems that can detect abnormal activities, such as fighting, robbery, abuse,

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