oaxino Posted April 6 Report Share Posted April 6 Building Fire & Smoke Detection With Opencv, Keras, And CnnPublished 4/2024MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHzLanguage: English | Size: 1.37 GB | Duration: 2h 15mLearn how to build fire and smoke detection systems using OpenCV, Keras, and Convolutional Neural NetworksWhat you'll learnLearn how to build fire detection system using OpenCVLearn how to train fire detection model using Keras and Convolutional Neural NetworkLearn how to build smoke detection system using OpenCVLearn how to train smoke detection system using Keras and Convolutional Neural NetworkLearn how to create alarm using gTTSLearn how to integrate alarm to fire & smoke detection systems and make it ring whenever fire or smoke is detectedLearn the basic fundamentals of fire and smoke detection system, such as getting to know its use cases, technical limitation, and technologies that will be usedLearn how fire and smoke detection systems work. This section will cover data collection, data preprocessing, model training, model deployment, output detectionLearn how to open webcam using OpenCVLearn how to play video using OpenCVLearn how to find and download fire and smoke dataset from KaggleLearn how to conduct performance testing on fire and smoke detection systemsRequirementsNo previous experience in object detection is requiredBasic knowledge in PythonDescriptionWelcome to Building Fire & Smoke Detection with OpenCV course. This is a comprehensive project based course where you will learn step by step on how to build a fire and smoke detection system using OpenCV, Keras, and convolutional neural networks. The detection system will also be equipped with an alarm that will ring whenever fire or smoke is detected. This course is a perfect combination between object detection and computer vision, making it an ideal opportunity to practice your programming skills by building projects with real world applications. In the introduction session, you will learn the basic fundamentals of a fire and smoke detection system, such as getting to know its use cases, technologies that will be used, and some technical challenges. Then, in the next session, you will learn how fire and smoke detection systems work. This section will cover data collection, preprocessing, model training, model deployment, and fire or smoke detection. Before starting the project, we will download fire and smoke datasets from Kaggle, the data will contain hundreds or even thousands of images where fire or smoke present, we will use those data to train our detection model. Once everything is ready, we will enter the project section. In the first section, you will be guided step by step on how to build a fire detection system using OpenCV and Keras. Then, in the second project section, you will build a smoke detection system using OpenCV and convolutional neural networks. Once those detection systems have been built, we will also create a notification system to alert people whenever fire or smoke is detected, to make it even more complete, we will integrate an alarm system that will go off as soon as fire or smoke is detected. Even more exciting, we will use a text to speech library to create customized sound for the alarm. Finally, at the end of the course, we will be conducting testing on the fire and smoke detection system. There will be two testing objectives that we will be mainly focusing on, those are performance testing where we will evaluate the efficiency and accuracy of the fire and smoke detection system under different conditions and alarm testing where we will assess the reliability and effectiveness of the alarm system in promptly alerting users to potential fire or smoke incidents.First of all, before getting into the course, we need to ask ourselves this question: why should we build a fire and smoke detection system? Well, here is my answer: Fire and smoke detection systems are critical for safeguarding lives and property, as they provide early warnings of potential hazards, allowing for timely evacuation and intervention. Additionally, these systems can help mitigate the devastating effects of fires by enabling prompt response and containment measures. Moreover, in environments where human monitoring is impractical or hazardous, such as industrial facilities or remote areas, automated fire and smoke detection systems are indispensable for ensuring safety and security. Furthermore, by developing our own fire and smoke detection system, we gain valuable insights into the underlying principles of computer vision and machine learning, empowering us to tackle a wide range of real-world challenges in this field.Below are things that we can expect to learn from this course:Learn the basic fundamentals of fire and smoke detection system, such as getting to know its use cases, technical limitations, and technologies that will be usedLearn how fire and smoke detection systems work. This section will cover data collection, data preprocessing, data labelling, model training, model deployment, and output detectionLearn how to open webcam using OpenCVLearn how to play video using OpenCVLearn how to find and download fire and smoke dataset from KaggleLearn how to build fire detection system using OpenCVLearn how to train fire detection model using Keras and Convolutional Neural NetworkLearn how to build smoke detection system using OpenCVLearn how to train smoke detection system using Keras and Convolutional Neural NetworkLearn how to create alarm using gTTSLearn how to integrate alarm to fire & smoke detection systems and make it ring whenever fire or smoke is detectedLearn how to conduct performance testing on fire and smoke detection systemsOverviewSection 1: IntroductionLecture 1 Introduction to the CourseLecture 2 Table of ContentsLecture 3 Whom This Course is Intended for?Section 2: Tools, IDE, and DatasetsLecture 4 Tools, IDE, and DatasetsSection 3: Introduction to Fire & Smoke Detection SystemsLecture 5 Introduction to Fire & Smoke Detection SystemsSection 4: How Fire & Smoke Detection Systems Work?Lecture 6 How Fire & Smoke Detection Systems Work?Section 5: Installing OpenCV, Numpy, and KerasLecture 7 Installing OpenCV, Numpy, and KerasSection 6: Opening Webcam Using OpenCVLecture 8 Opening Webcam Using OpenCVSection 7: Playing Video Using OpenCVLecture 9 Playing Video Using OpenCVSection 8: Finding & Downloading Fire Dataset From KaggleLecture 10 Finding & Downloading Fire Dataset From KaggleSection 9: Training Fire Detection Model with Keras & Convolutional Neural NetworkLecture 11 Training Fire Detection Model with Keras & Convolutional Neural NetworkSection 10: Building Fire Detection System with OpenCVLecture 12 Building Fire Detection System with OpenCVSection 11: Testing Fire Detection SystemLecture 13 Testing Fire Detection SystemSection 12: Finding & Downloading Smoke Dataset From KaggleLecture 14 Finding & Downloading Smoke Dataset From KaggleSection 13: Training Smoke Detection Model with Keras & Convolutional Neural NetworkLecture 15 Training Smoke Detection Model with Keras & Convolutional Neural NetworkSection 14: Building Smoke Detection System with OpenCVLecture 16 Building Smoke Detection System with OpenCVSection 15: Testing Smoke Detection SystemLecture 17 Testing Smoke Detection SystemSection 16: Creating Alarm with gTTSLecture 18 Creating Alarm with gTTSSection 17: Integrating Alarm to Fire Detection SystemLecture 19 Integrating Alarm to Fire Detection SystemSection 18: Integrating Alarm to Smoke Detection SystemLecture 20 Integrating Alarm to Smoke Detection SystemSection 19: Conclusion & SummaryLecture 21 Conclusion & SummaryPeople who are interested in building fire and smoke detection systems using OpenCV, Keras, and Convolutional Neural Network,People who are interested in creating alarm using gTTS and integrate it to the fire and smoke detection systemsScreenshotsrapidgator.net:https://rapidgator.net/file/a15096367ffbc280b924fc3e6f99b439/voqhn.Building.Fire..Smoke.Detection.With.Opencv.Keras.And.Cnn.part1.rar.htmlhttps://rapidgator.net/file/ee4e65dc94e65a2b9b6bbe49ff2fa870/voqhn.Building.Fire..Smoke.Detection.With.Opencv.Keras.And.Cnn.part2.rar.htmlnitroflare.com:https://nitroflare.com/view/962F9C3086FA930/voqhn.Building.Fire..Smoke.Detection.With.Opencv.Keras.And.Cnn.part1.rarhttps://nitroflare.com/view/2CA9B471C6B709B/voqhn.Building.Fire..Smoke.Detection.With.Opencv.Keras.And.Cnn.part2.rar Link to comment Share on other sites More sharing options...
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