Accident Detection System using Machine Learning In this blog, we will explain about accident detection and alert system with animal detection on road, this system will detect accidents on highways or small streets accident with may be any vehicle or animal so this system will identify road accidents. so in that project user have to […]
Suspicious Activity Detection using Machine Learning Abnormal activity recognition and its detection becomes a major task in surveillance videos. From the context of security purposes, that it becomes more challenging to identify the suspicious events or activities in video surveillance. Surveillance closely observes, monitors and identify the behaviour of any object like people, suspicious thing
Human Activity Recognition using TensorFlow | Human Pose Detection. Read More »
Suspicious Activity Detection using Machine Learning In security systems anomaly activity detection is one among them. Surveillance cameras have been setup widely for video analysis due to increasing demand for security. Video footages are captured and stored in memory devices. Several places or organization have installed CCTV Cameras for continuous monitoring for surveillance. It is
Suspicious Activity Detection using 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 Machine
Abnormal Activity Detection using Deep Learning | Final Year Major Project for CSE Read More »
Lung Cancer Detection using CT Scan Images The Lung Cancer Detection project utilizes neural networks to analyze medical imaging data for the early identification of lung cancer. By processing CT scans or X-rays, the system assists healthcare professionals in detecting abnormalities and potential cancerous nodules. The neural networks enhance diagnostic accuracy, enabling timely intervention and
Lung Cancer Detection using Machine Learning Read More »
Accident Detection and Alert System using Python Accurate and timely accident detection can significantly reduce emergency response times, potentially saving lives and reducing the severity of injuries. Traditional methods for accident detection often rely on human eyewitnesses or manual monitoring of surveillance cameras, which can be slow and unreliable. In contrast, ML techniques have powerful
Accident Detection and Alert System using Machine Learning Read More »
Sign Language to Text Conversion with Voice Output The Sign language is a visual language used by the people with the speech and hearing disabilities for communication in their daily conversation activities. It is completely an optical communication language through its native grammar, be unlike fundamentally from that of oral languages. In this research paper,
American Sign Language to Text Conversion with Voice Output Read More »
Underwater Object and Fish Detection using Machine Learning Underwater Object Detection using Deep Learning, This project will detect and identify the objects that is present in underwater like oceans or river. It will detect object like metal thing or fish so this process will make easy for underwater searching any object that will clearly classify
Underwater Object Detection using Deep Learning Read More »
Object Detection and Recognition with Voice Output In this Post, we will show you a project i.e., Object Detection and Recognition with Voice Output, User have to upload input video and machine learning model will preprocess that video and it will detect and recognize that particular object. After detection of object it will provide voice
Real Time Object Detection with Voice Output Read More »
People Counting using Yolo Python In this Post, we will show People Detection and Counting Project, This project is developed using Python Programming Language and Tkinter is used for creating Graphical User Interface. User can gave input of image, video and live streaming option and predict output. For Input Image option, user have to gave
People Detection and Tracking using Yolo Read More »
