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

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

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

Sign Language to Text Conversion Project using Python Sign Language Detection and Sentence Suggestion leverage neural networks to interpret and understand sign language gestures. This application translates sign language into text or speech, facilitating communication between individuals with hearing impairments and those who do not know sign language. The neural networks’ proficiency in recognizing diverse

Sign Language to Text Conversion using Machine L earning Sign To Text is a Python project that aims to translate sign language gestures into text using computer vision and deep learning. The project uses three different models: ResNet50, InceptionV3, and VGG16, which are trained on a dataset of 29 classes of American Sign Language (ASL)

Sign Language Recognition Using Python and OpenCV Text to Sign Conversion using Machine Learning, this project will take text input or audio inputs and suggest key words in sentence and make sign language animation in output. This project developed using python programming language and tkinter is used for graphical user interface. Example: if user write