ILT202411111111111111111111111111111.pdf
0 likes18 views
This document summarizes a project to develop a home surveillance vehicle using Arduino. The vehicle uses an Arduino MEGA, camera module, motors and WiFi to provide remote monitoring. OpenPose deep learning is used to recognize poses and detect falls. The model was trained on a dataset of 5,200 images split between training and testing. It achieved 96% accuracy at distinguishing between falls, walking and sitting. The system aims to assist elderly home monitoring and address safety issues.
1 of 20
Download to read offline
Ad
Recommended
ROAD POTHOLE DETECTION USING YOLOV4 DARKNET
ROAD POTHOLE DETECTION USING YOLOV4 DARKNETIRJET Journal
油
This document presents research on detecting potholes using the YOLOv4 object detection model in the Darknet framework. It begins with an introduction to the importance of road maintenance and automated pothole detection. It then describes the implementation process, which involves storing and preprocessing the dataset, training the YOLOv4 model, generating weights, and allowing users to upload images for detection. Case studies demonstrate the model successfully detecting potholes in test images. The document concludes that this method provides a cost-effective solution for government agencies to identify and repair potholes, improving road safety.Advance Intelligent Video Surveillance System Using OpenCV
Advance Intelligent Video Surveillance System Using OpenCVIRJET Journal
油
This document describes the development of an intelligent video surveillance system using OpenCV. The proposed system aims to reduce electricity usage and storage needs by only recording video when human presence is detected, as opposed to continuous recording. It utilizes a camera initialized through OpenCV to capture video frames. The frames are converted to grayscale and analyzed using a Haar cascade classifier to detect human faces. If a face is detected, recording begins. If no motion is detected for several seconds, recording will stop. The recorded videos are stored locally. This approach is well-suited for locations with intermittent human presence, where continuous recording is unnecessary. It allows for more efficient use of resources than traditional CCTV.Intelligent System For Face Mask Detection
Intelligent System For Face Mask DetectionIRJET Journal
油
This document presents research on developing an intelligent system to detect whether people are wearing face masks or not using deep learning techniques. The system uses a convolutional neural network called MobileNetV2 trained on a dataset of 480 masked and unmasked face images. Data augmentation is used to increase the size of the dataset. OpenCV is used for face detection. The system achieves 99% accuracy on the test dataset and can classify images and video frames in real-time. Applications discussed include use in airports, hospitals, offices and by law enforcement to monitor compliance with mask mandates and prevent the spread of COVID-19.fdfdsfs sfsfsfsffdfdsfdfsfsfsfsfsdfdsfsdfdsfsdfdsf
fdfdsfs sfsfsfsffdfdsfdfsfsfsfsfsdfdsfsdfdsfsdfdsfkrisnasingh0322
油
The document outlines a project aimed at developing a smart speed violation detection and challan system that integrates mobile application technology with a digital wallet for improved traffic management and road safety. Key features include real-time speed violation detection using computer vision, automated challan generation, and user notifications, alongside a user-friendly platform for managing fines. The project leverages advanced machine learning and image processing techniques to enhance the efficiency of traffic enforcement while addressing the limitations of traditional systems.POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHM
POTHOLE DETECTION SYSTEM USING YOLO v4 ALGORITHMIRJET Journal
油
This document describes a pothole detection system that uses the YOLO v4 object detection algorithm. The system uses a camera to capture live video and extracts images from the video stream. These images are fed into a pretrained YOLO v4 model that detects and highlights any potholes in real-time with bounding boxes. The model provides accuracy percentages for each detected pothole. A graphical user interface allows users to start and stop the detection process. An evaluation of the YOLO v4 model found it achieved 85-90% accuracy in real-time pothole detection, outperforming an earlier version that used a CNN model. Sample output images from the system demonstrate potholes being correctly detected andML for blind people.pptx
ML for blind people.pptxJAYKUMARKABRA
油
The document presents a project proposal for implementing computer vision machine learning algorithms to detect objects, particularly to aid visually impaired individuals. It emphasizes the importance of vision in human perception and reviews existing literature on assistive technologies utilizing object detection. The project aims to leverage trained machine learning models to provide audio descriptions of detected objects through an integrated system, enhancing independence for users.Object Detection and Localization for Visually Impaired People using CNN
Object Detection and Localization for Visually Impaired People using CNNIRJET Journal
油
The document presents a system to help visually impaired people by using CNNs (Convolutional Neural Networks) for object detection and localization based on camera images. The system aims to achieve over 95% accuracy in identifying objects captured by the camera and conveying this information to users through voice messages. It discusses existing assistive systems that use techniques like CNNs, speech recognition and custom object detection. The proposed system is intended to enable real-time object recognition and localization using a CNN model to improve awareness of the indoor environment for visually impaired individuals. Test results showed the CNN program for object recognition was implemented effectively.STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML.docx
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML.docxspub1985
油
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML.docxSTRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docx
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docxspub1985
油
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docxPROJECT LIGTAS PRESENTATION.pptx
PROJECT LIGTAS PRESENTATION.pptxJessaSiares
油
This project aims to create a vehicle accident alert system using sensors and communication devices. Road accidents are a major cause of death, especially for young people. In the Philippines, car and motorcycle accidents account for most vehicle collisions. The proposed system uses an Arduino, accelerometer, tilt sensor, vibration sensor, GPS and GSM modules to detect if a vehicle has been in an accident. If an accident is detected, the system will send an alert with the vehicle's location to emergency services to facilitate rescue. The goal is to help in remote or rural areas where accidents may not immediately be reported. The study will test the system's design, sensors' accuracy, and effectiveness in identifying locations and alerting authorities after a crash occurs.IRJET- Object Detection and Recognition for Blind Assistance
IRJET- Object Detection and Recognition for Blind AssistanceIRJET Journal
油
1. The document proposes a system using object and color recognition and convolutional neural networks to enhance the capabilities of visually impaired people.
2. The system uses a camera mounted on glasses to capture images which are then preprocessed, compressed, and used to train a classifier model to recognize common objects.
3. The proposed hardware implementation uses a Raspberry Pi for its small size and open source software support, including TensorFlow for training convolutional neural network models.IRJET - Autonomous Navigation System using Deep Learning
IRJET - Autonomous Navigation System using Deep LearningIRJET Journal
油
The document describes a proposed methodology for creating an autonomous navigation system using deep learning. Key aspects of the proposed methodology include:
1. Using the Unity real-time 3D rendering platform to build a simulated virtual environment for training an autonomous vehicle.
2. Employing artificial intelligence techniques like convolutional neural networks to create the "brain" of the autonomous system and train a model using data collected from the simulated environment.
3. Training the model to perform tasks like identifying lane lines, classifying images, and replicating human driving behaviors to enable the autonomous vehicle to navigate the virtual environment.IMPLEMENTATION OF IDS (INTRUDER DETECTION SYSTEM)
IMPLEMENTATION OF IDS (INTRUDER DETECTION SYSTEM)IRJET Journal
油
This document describes the implementation of an intruder detection system using a Raspberry Pi, motion detection, facial recognition, and a buzzer system. The system collects face data from homeowners to train a model using CNN techniques. When motion is detected, a picture is taken and facial recognition is run on the Raspberry Pi. If an intruder is identified, the homeowner receives a notification and can choose to sound the buzzer. The system was tested on homeowners and non-homeowners with an average detection time of 5.90 seconds and accuracy of 96.8%. Future work includes integrating an alert box for the homeowner to control the buzzer directly.AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSOR
AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSORIRJET Journal
油
This document describes an automatic attendance system using a Raspberry Pi processor with an ultrasonic sensor and face recognition. The system uses a Raspberry Pi 3B+, ultrasonic sensor, camera, and the Haar Cascade algorithm for face detection and recognition. Students' faces are detected and identified in real-time and their attendance marked electronically. The ultrasonic sensor also helps maintain social distancing during the COVID-19 pandemic by measuring distance between individuals. The system aims to simplify attendance marking and reduce time spent compared to traditional manual systems.A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNING
A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNINGIRJET Journal
油
The document describes a study on detecting kidney stones using image processing and deep learning techniques. The researchers preprocessed CT and MRI scan images of kidney stones using techniques like gray level co-occurrence matrix for feature extraction. They then trained a convolutional neural network (CNN) model on the images to classify kidney stones. The CNN model consisted of convolution, ReLU, pooling and fully connected layers. The trained model could accurately detect and classify kidney stones in input images. The researchers concluded that combining image processing and deep learning was an effective method for automated kidney stone detection.Final yr proj ppt
Final yr proj pptDikshya Rath
油
This document provides an overview of a project to develop a machine-to-machine communication device for medical applications and disaster management. It discusses:
1) The literature review on existing M2M systems for medical consultation, smart metering, and context awareness.
2) The proposed system which would measure a person's pulse/heart rate or temperature and send the data over LAN to a monitoring device to analyze for threshold levels and prevent intoxicated driving.
3) The implementation progress including running image processing on a Raspberry Pi over LAN, testing GPIO input/output, and establishing communication between the Pi and laptop.Artificial Intelligence based CCTV accident detection and nearby patrol alert...
Artificial Intelligence based CCTV accident detection and nearby patrol alert...IRJET Journal
油
1. The document describes an artificial intelligence system that uses CCTV footage to detect vehicle accidents and alert nearby patrols.
2. It uses a convolutional neural network model trained on accident video data to analyze live CCTV feeds and identify if an accident has occurred.
3. If an accident is detected, an alert is sent to a web application which notifies patrol services while also displaying the date, time, and location of the accident from the CCTV footage.SATURDAY PRESENTATION.pptx
SATURDAY PRESENTATION.pptxJessaSiares
油
This document describes a proposed computer-based vehicle monitoring and accident alert system using sensors and Bluetooth modules. Road accidents are a major cause of death, often due to human error. The system aims to help address this problem by monitoring vehicle activity and movements using an Arduino microcontroller, accelerometer, tilt sensor, vibration sensor and Bluetooth module. When an accident is detected, the system will send an alert with the location to registered mobile numbers. The document outlines the hardware, software, methodology and significance of the proposed system for organizations like the police and community. It provides conceptual diagrams and details the steps to make the device and program it to help reduce road accidents.X-Ray Based Quick Covid-19 Detection Using Raspberry-pi
X-Ray Based Quick Covid-19 Detection Using Raspberry-piIRJET Journal
油
This document summarizes a study that developed an X-ray-based method for quickly detecting COVID-19 using machine learning on a Raspberry Pi. The researchers collected a dataset of chest X-ray images including images of COVID-19, viral pneumonia, and normal cases. They trained a convolutional neural network model using transfer learning with the Inception V3 architecture to classify images as COVID-19, viral pneumonia, or normal with over 98% accuracy. The goal was to create a faster and more accessible method for COVID-19 detection compared to existing testing methods.Accident detection system project report.pdf
Accident detection system project report.pdfKamal Acharya
油
The document outlines an internship report on an accident detection system project aimed at improving emergency response times to road accidents using technology. It details the use of a piezoelectric sensor for accident detection, along with GSM and GPS modules to notify emergency contacts and provide location information. The project emphasizes the potential to save lives by reducing the delay in emergency medical response due to timely alerts from the system.Toddler monitoring system in vehicle using single shot detector-mobilenet and...
Toddler monitoring system in vehicle using single shot detector-mobilenet and...IAESIJAI
油
This research presents a toddler monitoring system for vehicles that utilizes deep learning algorithms, specifically SSD-Mobilenet and SSD-Inception, to detect the presence of toddlers and assess their seatbelt status for improved safety. The system achieves real-time monitoring with an accuracy of up to 82.98% and operates effectively on an NVIDIA Jetson Nano. Future enhancements include improving system accuracy by increasing the database diversity and collaboration with vehicle manufacturers.Smart Home for Senior Citizens
Smart Home for Senior CitizensIRJET Journal
油
This document describes a smart home system designed for senior citizens. It has three main components: 1) A facial recognition door lock system using a Raspberry Pi camera to only unlock for recognized faces, 2) An home automation system using an ESP8266 module to remotely control appliances via a mobile app, 3) A fire and gas detection system with sensors connected to an Arduino to detect hazards and trigger alarms. The system aims to improve security, convenience and safety for elderly residents living alone.INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...
INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...IRJET Journal
油
This document describes a proposed system to assist visually impaired individuals using object detection. The system uses YOLO (You Only Look Once) deep learning for fast and reliable object detection in images captured by a webcam in real-time. Detected objects are identified and conveyed to the user via text-to-speech. This allows visually impaired users to navigate indoor and outdoor environments with information about surrounding objects. The proposed system aims to address challenges faced by existing assistive technologies through improved accuracy and real-time performance of object recognition compared to other methods.AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEMIRJET Journal
油
This document describes the development of an Android-based campus information system application. The application allows students and staff at an engineering college to access information like attendance, marks, notifications, and search campus buildings and locations. It uses the Firebase database to securely store and manage user and college data. The application aims to simplify accessing campus information and make it easier to navigate the campus. It replaces the need for paper records and provides a centralized information system for the college. Key features of the application include attendance tracking, result viewing, notifications, and an on-campus search and navigation system. The application is meant to benefit the college community by streamlining access to important information through a mobile app.MINOR PROJECT-1[1].pptxb jwjeye6swhqhwhwe
MINOR PROJECT-1[1].pptxb jwjeye6swhqhwhwesunnyphotography601
油
The document outlines a project for a smart attendance system that utilizes facial recognition technology to automate and digitize the process of recording student attendance. It describes the project's objectives, methodology, tools used, and proposes a solution aimed at enhancing efficiency and reducing errors associated with traditional manual attendance systems. The system is designed to function effectively in varying lighting conditions and aims to improve the accuracy of attendance marking over time.Smart Traffic System using Machine Learning
Smart Traffic System using Machine LearningIRJET Journal
油
This document proposes a smart traffic system using machine learning to automatically manage traffic. Video cameras would capture live traffic footage which is processed using YOLO and AlexNet machine learning models to detect vehicles and determine traffic density in real-time. The system would then dynamically adjust traffic light timings based on the current traffic conditions to efficiently clear congestion and prioritize emergency vehicles by opening routes for ambulances. This smart traffic control approach aims to develop more efficient traffic management without human intervention to address issues like congestion from improper light timings or festivals that increase traffic volumes.Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecdrazelitouali
油
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition OecdMore Related Content
Similar to ILT202411111111111111111111111111111.pdf (20)
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docx
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docxspub1985
油
STRATAGIES FOR DETECTING DATA POISONING IN DISTRIBUTED ML (1).docxPROJECT LIGTAS PRESENTATION.pptx
PROJECT LIGTAS PRESENTATION.pptxJessaSiares
油
This project aims to create a vehicle accident alert system using sensors and communication devices. Road accidents are a major cause of death, especially for young people. In the Philippines, car and motorcycle accidents account for most vehicle collisions. The proposed system uses an Arduino, accelerometer, tilt sensor, vibration sensor, GPS and GSM modules to detect if a vehicle has been in an accident. If an accident is detected, the system will send an alert with the vehicle's location to emergency services to facilitate rescue. The goal is to help in remote or rural areas where accidents may not immediately be reported. The study will test the system's design, sensors' accuracy, and effectiveness in identifying locations and alerting authorities after a crash occurs.IRJET- Object Detection and Recognition for Blind Assistance
IRJET- Object Detection and Recognition for Blind AssistanceIRJET Journal
油
1. The document proposes a system using object and color recognition and convolutional neural networks to enhance the capabilities of visually impaired people.
2. The system uses a camera mounted on glasses to capture images which are then preprocessed, compressed, and used to train a classifier model to recognize common objects.
3. The proposed hardware implementation uses a Raspberry Pi for its small size and open source software support, including TensorFlow for training convolutional neural network models.IRJET - Autonomous Navigation System using Deep Learning
IRJET - Autonomous Navigation System using Deep LearningIRJET Journal
油
The document describes a proposed methodology for creating an autonomous navigation system using deep learning. Key aspects of the proposed methodology include:
1. Using the Unity real-time 3D rendering platform to build a simulated virtual environment for training an autonomous vehicle.
2. Employing artificial intelligence techniques like convolutional neural networks to create the "brain" of the autonomous system and train a model using data collected from the simulated environment.
3. Training the model to perform tasks like identifying lane lines, classifying images, and replicating human driving behaviors to enable the autonomous vehicle to navigate the virtual environment.IMPLEMENTATION OF IDS (INTRUDER DETECTION SYSTEM)
IMPLEMENTATION OF IDS (INTRUDER DETECTION SYSTEM)IRJET Journal
油
This document describes the implementation of an intruder detection system using a Raspberry Pi, motion detection, facial recognition, and a buzzer system. The system collects face data from homeowners to train a model using CNN techniques. When motion is detected, a picture is taken and facial recognition is run on the Raspberry Pi. If an intruder is identified, the homeowner receives a notification and can choose to sound the buzzer. The system was tested on homeowners and non-homeowners with an average detection time of 5.90 seconds and accuracy of 96.8%. Future work includes integrating an alert box for the homeowner to control the buzzer directly.AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSOR
AUTOMATIC ATTENDANCE SYSTEM MANAGEMENT USING RASPBERRY PI WITH ULTRASONIC SENSORIRJET Journal
油
This document describes an automatic attendance system using a Raspberry Pi processor with an ultrasonic sensor and face recognition. The system uses a Raspberry Pi 3B+, ultrasonic sensor, camera, and the Haar Cascade algorithm for face detection and recognition. Students' faces are detected and identified in real-time and their attendance marked electronically. The ultrasonic sensor also helps maintain social distancing during the COVID-19 pandemic by measuring distance between individuals. The system aims to simplify attendance marking and reduce time spent compared to traditional manual systems.A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNING
A SURVEY ON KIDNEY STONE DETECTION USING IMAGE PROCESSING AND DEEP LEARNINGIRJET Journal
油
The document describes a study on detecting kidney stones using image processing and deep learning techniques. The researchers preprocessed CT and MRI scan images of kidney stones using techniques like gray level co-occurrence matrix for feature extraction. They then trained a convolutional neural network (CNN) model on the images to classify kidney stones. The CNN model consisted of convolution, ReLU, pooling and fully connected layers. The trained model could accurately detect and classify kidney stones in input images. The researchers concluded that combining image processing and deep learning was an effective method for automated kidney stone detection.Final yr proj ppt
Final yr proj pptDikshya Rath
油
This document provides an overview of a project to develop a machine-to-machine communication device for medical applications and disaster management. It discusses:
1) The literature review on existing M2M systems for medical consultation, smart metering, and context awareness.
2) The proposed system which would measure a person's pulse/heart rate or temperature and send the data over LAN to a monitoring device to analyze for threshold levels and prevent intoxicated driving.
3) The implementation progress including running image processing on a Raspberry Pi over LAN, testing GPIO input/output, and establishing communication between the Pi and laptop.Artificial Intelligence based CCTV accident detection and nearby patrol alert...
Artificial Intelligence based CCTV accident detection and nearby patrol alert...IRJET Journal
油
1. The document describes an artificial intelligence system that uses CCTV footage to detect vehicle accidents and alert nearby patrols.
2. It uses a convolutional neural network model trained on accident video data to analyze live CCTV feeds and identify if an accident has occurred.
3. If an accident is detected, an alert is sent to a web application which notifies patrol services while also displaying the date, time, and location of the accident from the CCTV footage.SATURDAY PRESENTATION.pptx
SATURDAY PRESENTATION.pptxJessaSiares
油
This document describes a proposed computer-based vehicle monitoring and accident alert system using sensors and Bluetooth modules. Road accidents are a major cause of death, often due to human error. The system aims to help address this problem by monitoring vehicle activity and movements using an Arduino microcontroller, accelerometer, tilt sensor, vibration sensor and Bluetooth module. When an accident is detected, the system will send an alert with the location to registered mobile numbers. The document outlines the hardware, software, methodology and significance of the proposed system for organizations like the police and community. It provides conceptual diagrams and details the steps to make the device and program it to help reduce road accidents.X-Ray Based Quick Covid-19 Detection Using Raspberry-pi
X-Ray Based Quick Covid-19 Detection Using Raspberry-piIRJET Journal
油
This document summarizes a study that developed an X-ray-based method for quickly detecting COVID-19 using machine learning on a Raspberry Pi. The researchers collected a dataset of chest X-ray images including images of COVID-19, viral pneumonia, and normal cases. They trained a convolutional neural network model using transfer learning with the Inception V3 architecture to classify images as COVID-19, viral pneumonia, or normal with over 98% accuracy. The goal was to create a faster and more accessible method for COVID-19 detection compared to existing testing methods.Accident detection system project report.pdf
Accident detection system project report.pdfKamal Acharya
油
The document outlines an internship report on an accident detection system project aimed at improving emergency response times to road accidents using technology. It details the use of a piezoelectric sensor for accident detection, along with GSM and GPS modules to notify emergency contacts and provide location information. The project emphasizes the potential to save lives by reducing the delay in emergency medical response due to timely alerts from the system.Toddler monitoring system in vehicle using single shot detector-mobilenet and...
Toddler monitoring system in vehicle using single shot detector-mobilenet and...IAESIJAI
油
This research presents a toddler monitoring system for vehicles that utilizes deep learning algorithms, specifically SSD-Mobilenet and SSD-Inception, to detect the presence of toddlers and assess their seatbelt status for improved safety. The system achieves real-time monitoring with an accuracy of up to 82.98% and operates effectively on an NVIDIA Jetson Nano. Future enhancements include improving system accuracy by increasing the database diversity and collaboration with vehicle manufacturers.Smart Home for Senior Citizens
Smart Home for Senior CitizensIRJET Journal
油
This document describes a smart home system designed for senior citizens. It has three main components: 1) A facial recognition door lock system using a Raspberry Pi camera to only unlock for recognized faces, 2) An home automation system using an ESP8266 module to remotely control appliances via a mobile app, 3) A fire and gas detection system with sensors connected to an Arduino to detect hazards and trigger alarms. The system aims to improve security, convenience and safety for elderly residents living alone.INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...
INDOOR AND OUTDOOR NAVIGATION ASSISTANCE SYSTEM FOR VISUALLY IMPAIRED PEOPLE ...IRJET Journal
油
This document describes a proposed system to assist visually impaired individuals using object detection. The system uses YOLO (You Only Look Once) deep learning for fast and reliable object detection in images captured by a webcam in real-time. Detected objects are identified and conveyed to the user via text-to-speech. This allows visually impaired users to navigate indoor and outdoor environments with information about surrounding objects. The proposed system aims to address challenges faced by existing assistive technologies through improved accuracy and real-time performance of object recognition compared to other methods.AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEM
AN ANDROID APPLICATION FOR CAMPUS INFORMATION SYSTEMIRJET Journal
油
This document describes the development of an Android-based campus information system application. The application allows students and staff at an engineering college to access information like attendance, marks, notifications, and search campus buildings and locations. It uses the Firebase database to securely store and manage user and college data. The application aims to simplify accessing campus information and make it easier to navigate the campus. It replaces the need for paper records and provides a centralized information system for the college. Key features of the application include attendance tracking, result viewing, notifications, and an on-campus search and navigation system. The application is meant to benefit the college community by streamlining access to important information through a mobile app.MINOR PROJECT-1[1].pptxb jwjeye6swhqhwhwe
MINOR PROJECT-1[1].pptxb jwjeye6swhqhwhwesunnyphotography601
油
The document outlines a project for a smart attendance system that utilizes facial recognition technology to automate and digitize the process of recording student attendance. It describes the project's objectives, methodology, tools used, and proposes a solution aimed at enhancing efficiency and reducing errors associated with traditional manual attendance systems. The system is designed to function effectively in varying lighting conditions and aims to improve the accuracy of attendance marking over time.Smart Traffic System using Machine Learning
Smart Traffic System using Machine LearningIRJET Journal
油
This document proposes a smart traffic system using machine learning to automatically manage traffic. Video cameras would capture live traffic footage which is processed using YOLO and AlexNet machine learning models to detect vehicles and determine traffic density in real-time. The system would then dynamically adjust traffic light timings based on the current traffic conditions to efficiently clear congestion and prioritize emergency vehicles by opening routes for ambulances. This smart traffic control approach aims to develop more efficient traffic management without human intervention to address issues like congestion from improper light timings or festivals that increase traffic volumes.Recently uploaded (20)
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecdrazelitouali
油
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition Oecd
Energy Balances Of Oecd Countries 2011 Iea Statistics 1st Edition OecdGEOGRAPHY-Study Material [ Class 10th] .pdf
GEOGRAPHY-Study Material [ Class 10th] .pdfSHERAZ AHMAD LONE
油
"Geography Study Material for Class 10th" provides a comprehensive and easy-to-understand resource for key topics like Resources & Development, Water Resources, Agriculture, Minerals & Energy, Manufacturing Industries, and Lifelines of the National Economy. Designed as per the latest NCERT/JKBOSE syllabus, it includes notes, maps, diagrams, and MODEL question Paper to help students excel in exams. Whether revising for exams or strengthening conceptual clarity, this material ensures effective learning and high scores. Perfect for last-minute revisions and structured study sessions.ROLE PLAY: FIRST AID -CPR & RECOVERY POSITION.pptx
ROLE PLAY: FIRST AID -CPR & RECOVERY POSITION.pptxBelicia R.S
油
Role play : First Aid- CPR, Recovery position and Hand hygiene.
Scene 1: Three friends are shopping in a mall
Scene 2: One of the friend becomes victim to electric shock.
Scene 3: Arrival of a first aider
Steps:
Safety First
Evaluate the victims condition
Call for help
Perform CPR- Secure an open airway, Chest compression, Recuse breaths.
Put the victim in Recovery position if unconscious and breathing normally.
Assisting Individuals and Families to Promote and Maintain Health Unit 7 | ...
Assisting Individuals and Families to Promote and Maintain Health Unit 7 | ...RAKESH SAJJAN
油
This PowerPoint presentation is based on Unit 7 Assisting Individuals and Families to Promote and Maintain Their Health, a core topic in Community Health Nursing I for 5th Semester B.Sc Nursing students, as per the Indian Nursing Council (INC) guidelines.
The unit emphasizes the nurses role in family-centered care, early detection of health problems, health promotion, and appropriate referrals, especially in the context of home visits and community outreach. It also strengthens the students understanding of nursing responsibilities in real-life community settings.
Key Topics Covered in the Presentation:
Introduction to family health care: needs, principles, and objectives
Assessment of health needs of individuals, families, and groups
Observation and documentation during home visits and field assessments
Identifying risk factors: environmental, behavioral, genetic, and social
Conducting growth and development monitoring in infants and children
Recording and observing:
Milestones of development
Menstrual health and reproductive cycle
Temperature, blood pressure, and vital signs
General physical appearance and personal hygiene
Social assessment: understanding family dynamics, occupation, income, living conditions
Health education and counseling for individuals and families
Guidelines for early detection and referral of communicable and non-communicable diseases
Maintenance of family health records and individual health cards
Assisting families with:
Maternal and child care
Elderly and chronic disease management
Hygiene and nutrition guidance
Utilization of community resources referral linkages, support services, and local health programs
Role of nurse in coordinating care, advocating for vulnerable individuals, and empowering families
Promoting self-care and family participation in disease prevention and health maintenance
This presentation is highly useful for:
Nursing students preparing for internal exams, university theory papers, or community postings
Health educators conducting family teaching sessions
Students conducting fieldwork and project work during community postings
Public health nurses and outreach workers dealing with preventive, promotive, and rehabilitative care
Its structured in a step-by-step format, featuring tables, case examples, and simplified explanations tailored for easy understanding and classroom delivery.Unit- 4 Biostatistics & Research Methodology.pdf
Unit- 4 Biostatistics & Research Methodology.pdfKRUTIKA CHANNE
油
Blocking and confounding (when a third variable, or confounder, influences both the exposure and the outcome) system for Two-level factorials (a type of experimental design where each factor (independent variable) is investigated at only two levels, typically denoted as "high" and "low" or "+1" and "-1")
Regression modeling (statistical model that estimates the relationship between one dependent variable and one or more independent variables using a line): Hypothesis testing in Simple and Multiple regression models
Introduction to Practical components of Industrial and Clinical Trials Problems: Statistical Analysis Using Excel, SPSS, MINITAB速鏝, DESIGN OF EXPERIMENTS, R - Online Statistical Software to Industrial and Clinical trial approachSustainable Innovation with Immersive Learning
Sustainable Innovation with Immersive LearningLeonel Morgado
油
Prof. Leonel and Prof. Dennis approached educational uses, practices, and strategies of using immersion as a lens to interpret, design, and planning educational activities in a sustainable way. Rather than one-off gimmicks, the intent is to enable instructors (and institutions) to be able to include them in their regular activities, including the ability to evaluate and redesign them.
Immersion as a phenomenon enables interpreting pedagogical activities in a learning-agnostic way: you take a stance on the learning theory to follow, and leverage immersion to envision and guide your practice.Paper 108 | Thoreaus Influence on Gandhi: The Evolution of Civil Disobedience
Paper 108 | Thoreaus Influence on Gandhi: The Evolution of Civil DisobedienceRajdeep Bavaliya
油
Dive into the powerful journey from Thoreaus 19thcentury essay to Gandhis mass movement, and discover how one mans moral stand became the backbone of nonviolent resistance worldwide. Learn how conscience met strategy to spark revolutions, and why their legacy still inspires todays social justice warriors. Uncover the evolution of civil disobedience. Dont forget to like, share, and follow for more deep dives into the ideas that changed the world.
M.A. Sem - 2 | Presentation
Presentation Season - 2
Paper - 108: The American Literature
Submitted Date: April 2, 2025
Paper Name: The American Literature
Topic: Thoreaus Influence on Gandhi: The Evolution of Civil Disobedience
[Please copy the link and paste it into any web browser to access the content.]
Video Link: https://youtu.be/HXeq6utg7iQ
For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/thoreau-s-influence-on-gandhi-the-evolution-of-civil-disobedience.html
Please visit this blog to explore additional presentations from this season:
Hashtags:
#CivilDisobedience #ThoreauToGandhi #NonviolentResistance #Satyagraha #Transcendentalism #SocialJustice #HistoryUncovered #GandhiLegacy #ThoreauInfluence #PeacefulProtest
Keyword Tags:
civil disobedience, Thoreau, Gandhi, Satyagraha, nonviolent protest, transcendentalism, moral resistance, Gandhi Thoreau connection, social change, political philosophyPaper 109 | Archetypal Journeys in Interstellar: Exploring Universal Themes...
Paper 109 | Archetypal Journeys in Interstellar: Exploring Universal Themes...Rajdeep Bavaliya
油
Get ready to embark on a cosmic quest as we unpack the archetypal power behind Christopher Nolans Interstellar. Discover how heros journey tropes, mythic symbols like wormholes and tesseracts, and themes of love, sacrifice, and environmental urgency shape this epic odyssey. Whether youre a film theory buff or a casual viewer, youll learn why Coopers journey resonates with timeless mythsand what it means for our own future. Smash that like button, and follow for more deep dives into cinemas greatest stories!
M.A. Sem - 2 | Presentation
Presentation Season - 2
Paper - 109: Literary Theory & Criticism and Indian Aesthetics
Submitted Date: April 5, 2025
Paper Name: Literary Theory & Criticism and Indian Aesthetics
Topic: Archetypal Journeys in Interstellar: Exploring Universal Themes in Nolans Cosmic Odyssey
[Please copy the link and paste it into any web browser to access the content.]
Video Link: https://youtu.be/vHLaLZPHumk
For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/archetypal-journeys-in-interstellar-exploring-universal-themes-in-nolan-s-cosmic-odyssey.html
Please visit this blog to explore additional presentations from this season:
Hashtags:
#ChristopherNolan #Interstellar #NolanFilms #HeroJourney #CosmicOdyssey #FilmTheory #ArchetypalCriticism #SciFiCinema #TimeDilation #EnvironmentalCinema #MythicStorytelling
Keyword Tags:
Interstellar analysis, Christopher Nolan archetypes, heros journey explained, wormhole symbolism, tesseract meaning, myth in sci-fi, cinematic archetypes, environmental themes film, love across time, Nolan film breakdownHow to Create an Event in Odoo 18 - Odoo 18 際際滷s
How to Create an Event in Odoo 18 - Odoo 18 際際滷sCeline George
油
Creating an event in Odoo 18 is a straightforward process that allows you to manage various aspects of your event efficiently.
Odoo 18 Events Module is a powerful tool for organizing and managing events of all sizes, from conferences and workshops to webinars and meetups. THERAPEUTIC COMMUNICATION included definition, characteristics, nurse patient...
THERAPEUTIC COMMUNICATION included definition, characteristics, nurse patient...parmarjuli1412
油
The document provides an overview of therapeutic communication, emphasizing its importance in nursing to address patient needs and establish effective relationships. THERAPEUTIC COMMUNICATION included some topics like introduction of COMMUNICATION, definition, types, process of communication, definition therapeutic communication, goal, techniques of therapeutic communication, non-therapeutic communication, few ways to improved therapeutic communication, characteristics of therapeutic communication, barrier of THERAPEUTIC RELATIONSHIP, introduction of interpersonal relationship, types of IPR, elements/ dynamics of IPR, introduction of therapeutic nurse patient relationship, definition, purpose, elements/characteristics , and phases of therapeutic communication, definition of Johari window, uses, what actually model represent and its areas, THERAPEUTIC IMPASSES and its management in 5th semester Bsc. nursing and 2nd GNM studentsChalukyas of Gujrat, Solanki Dynasty NEP.pptx
Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.
油
This presentation has been made keeping in mind the students of undergraduate and postgraduate level. In this slide try to present the brief history of Chaulukyas of Gujrat up to Kumarpala To keep the facts in a natural form and to display the material in more detail, the help of various books, websites and online medium has been taken. Whatever medium the material or facts have been taken from, an attempt has been made by the presenter to give their reference at the end.
Chaulukya or Solanki was one of the Rajputs born from Agnikul. In the Vadnagar inscription, the origin of this dynasty is told from Brahma's Chauluk or Kamandalu. They ruled in Gujarat from the latter half of the tenth century to the beginning of the thirteenth century. Their capital was in Anahilwad. It is not certain whether it had any relation with the Chalukya dynasty of the south or not. It is worth mentioning that the name of the dynasty of the south was 'Chaluky' while the dynasty of Gujarat has been called 'Chaulukya'. The rulers of this dynasty were the supporters and patrons of Jainism.How to Manage Inventory Movement in Odoo 18 POS
How to Manage Inventory Movement in Odoo 18 POSCeline George
油
Inventory management in the Odoo 18 Point of Sale system is tightly integrated with the inventory module, offering a solution to businesses to manage sales and stock in one united system.Capitol Doctoral Presentation -June 2025.pptx
Capitol Doctoral Presentation -June 2025.pptxCapitolTechU
油
際際滷s from a Capitol Technology University presentation covering doctoral programs offered by the university. All programs are online, and regionally accredited. The presentation covers degree program details, tuition, financial aid and the application process.Chalukyas of Gujrat, Solanki Dynasty NEP.pptx
Chalukyas of Gujrat, Solanki Dynasty NEP.pptxDr. Ravi Shankar Arya Mahila P. G. College, Banaras Hindu University, Varanasi, India.
油
Ad
ILT202411111111111111111111111111111.pdf
- 1. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering Development of a Home Surveillance Vehicle Using Arduino Reporter 鐚 Siao-Dawn Tsai Date : 112.06.02 Author: Chuin-Mu Wang, Shao-Wei Chu , Jiaren Lim,Siao-Dawn Tsai
- 2. NCUT Department of Computer Science and Information Engineering Outline Introduction 1 Method 2 - Model Training - Dataset Preparation and Explaination - Arduino Car - Function List - Vehicle Operation - OpenPoses Technique Model 3 Experiment and Result 4 - Background - Questions - Purposed Conclusions 5 2
- 3. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 3 Introduction
- 4. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering Background 4 In recent years, Taiwan has made significant advancements in healthcare, resulting in longer life expectancy. The population is living longer and a decline in birth rates, leading to a higher proportion of elderly individuals. Advancements in technology have introduced various new applications, such as microprocessors in embedded systems and the utilization of deep learning in image recognition. These technologies not only enhance convenience but also improve quality of life and safety.
- 5. NCUT Department of Computer Science and Information Engineering With the aging population, home care has become increasingly significant, yet the existing healthcare and long-term care services cannot meet the growing demand. Elderly individuals who live alone or lack caregiver support may face the following crises : Accidental falls, Sudden medical emergencies, Home safety issues, etc. Questions 5
- 6. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering Propose 6 Arduino serves as the control center for monitoring vehicles, processing and transmitting diverse data and image information. Develop a system that utilizes deep learning and image recognition to identify accidents and achieve comprehensive monitoring. Leverage the low power consumption, small size, and ease of programming of Arduino to enhance the efficiency and safety of home care.
- 7. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering NCUT Department of Computer Science and Information Engineering Method 7
- 8. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 8 Arduino Car Arduino MEGA for vehicle control and transmission. 3D print the vehicle body using PLA material. Utilize GA12-N20 gear motor for vehicle movement. OV7670 camera module for image acquisition. Integrate ESP Arduino Wi-Fi module.
- 9. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 9 Function List Remote control: Enable remote control of the vehicle's movement to reach the person in need through a mobile phone or computer. Environmental monitoring: Monitor the environmental conditions, such as temperature, humidity, and smoke, to detect abnormalities promptly.
- 10. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering Vehicle Operation 10
- 11. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering OpenPoses Techniques OpenPose comprises a feature extraction network and a keypoint detection network. The feature extraction network utilizes convolutional layers, pooling layers, and batch normalization layers to capture spatial and semantic information from the image. The keypoint detection network consists of keypoint position detection and keypoint correlation detection branches, employing convolutional neural networks to detect keypoints' positions and relationships. 11
- 12. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering NCUT Department of Computer Science and Information Engineering Model 12
- 13. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 13 Model Training End Start OpenPose Train Model Model Picture Label File Dataset Pretraining Weight
- 14. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 14 Dataset Preparation and Explanation The source pictures are taken manually and dataset from online and the amount of pictures is shown in Table. Class 3 Images 5200 Split Ratio鐚Train, Test鐚 7 : 3 Quantity of Images and Classes
- 15. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering NCUT Department of Computer Science and Information Engineering Experiment and Result 15
- 16. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering NCUT Department of Computer Science and Information Engineering Motion Recognition Steps 16
- 17. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 17 Fall Detection
- 18. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering NCUT Department of Computer Science and Information Engineering Conclusions 18
- 19. Multimedia Application Lab NCUT Department of Computer Science and Information Engineering 19 Conclusions This paper proposes to use image recognition to assist the long-term care. Compared with the current mainstream safety devices, it can not only prevent the elders from accidents, but also assist in checking the status of surrounding house area. The model trained in this experiment initially used 5,200 images, which were split into a training set of approximately 3,640 images and a testing set of approximately 1,560 images. The fall, walking, and sitting positions each accounted for one-third of the dataset, and the overall accuracy was 0.96.