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 […]
Crowd Counting using YOLO Python | Engineering Projects for CSE Students Read More »
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
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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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
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
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
Human Activity Recognition using TensorFlow | OpenCV | Computer Vision | Deep Learning Read More »
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,
Sign Language Recognition using Python and OpenCV Sign Language Detection using Machine Learning, this project developed using python programming language. This machine learning model is trained on large dataset of images with different signs so it can easily identify word sign, character and numbers. User have to first login with username and password. If the
Sign Language Detection OpenCV Python | Machine Learning Projects for Final Year CSE Read More »
American Sign Language Detection with Python and Mediapipe Sign Language to Text Conversion project works on real-time hand gesture detection from laptop webcam. User have to show hand gesture and machine learning model then it will identify the gesture. The Sign language is a visual language used by the people with the speech and hearing
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Sign Language Detection using Machine Learning In this video, we will provide detailed explanation about sign language detection and recognition system project using yolo algorithm, this project will work on image based dataset and real time detection through laptop front camera. first user have to login with username and password, if the credential is correct
