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Web cam using in pycharm. смотреть последние обновления за сегодня на .
In this tutorial you will learn 1. how to use webcam with python. 2. web cam using in pycharm. 3. live video streaming with web cam in python / pycharm.
Way 1: import cv2 cam = cv2.VideoCapture(0) while True: b, img = cam.read() if b: cv2.imshow("Window", img) cv2.waitKey(1) else: print("The camera is not working!") #if I use cam = cv2.VideoCapture(1) will show this message # because I doesn't have second camera, doesn t exist break cam.release() cv2.destroyAllWindows() Way 2: Close window pressing q taste import cv2 cam = cv2.VideoCapture(0) # if you have 1 camera, use 0 but if you have more then use 1 for second # camera, 2 for third etc. while True: b, img = cam.read() cv2.imshow("Window", img) # name for window if cv2.waitKey(1) ord('q'): # if press q, will close window camera break cam.release() cv2.destroyAllWindows()
Welcome to the OpenCV Basics series. In this series, we'll be going through all the basics of OpenCV from the ground up. In this video you'll learn how to: 1. Access your webcam using OpenCV and cv2.VideoCapture 2. Take Photos with your Webcam or USB device using Python 3. Produce a real time webcam feed using Python and OpenCV Get the code: 🤍 Links Documentation: 🤍 Python Tutorials: 🤍 Download Samples from here: 🤍 Chapters: 0:00 - Start 0:36 - Explainer 1:29 - Tutorial Kickoff 2:02 - Whiteboard 5:43 - Import Dependencies 6:58 - Connect to a Webcam 9:14 - The Camera I use for Computer Vision 9:36 - Finding Your Video Capture Device 12:17 - Take a Photo with OpenCV 15:06 - Accesss Video from Your Webcam Oh, and don't forget to connect with me! LinkedIn: 🤍 Facebook: 🤍 GitHub: 🤍 Patreon: 🤍 Join the Discussion on Discord: 🤍 Happy coding! Nick P.s. Let me know how you go and drop a comment if you need a hand!
using cv2 module we can do changes in images and video
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Hello guys, My name is Rohit Kumar Thakur and In this video, I am gonna show you how to capture a video footage using webcam with the help of Python Programming. Well, it's not that much difficult. You just have to follow the video. All the important stuffs are commented out in this python program video. If I miss something then let me know in the comment section My social Links: Instagram: 🤍 Twitter: 🤍 website: 🤍 Music Source: NCS Tags: python for beginners, python, python full course, python tutorial, python programming, python projects, learn python, python tutorial for beginners, python full course in Hindi, python course, python for beginners in Hindi, learn python programming for beginners, python programming, python programming for beginners, what is python programming, python advanced programming, object-oriented programming in python, basic python programming for beginners, python programming full course, python object-oriented programming, advanced python programming, introduction to python programming, dynamic programming python, python project, python project with source code, project in python, python project step by step, Tkinter python project, python project ideas, cool python project, project on python, python project tutorial, python GUI project, python project for beginners, python tkinter project, mini project in python, project using python, small python project, simple python project, how to operate webcam using python in windows, how to open webcam using python in windows and Linux #python #python3 #programming #code #github
Video shows how to collect webcam data in python for image processing and machine learning work. Python basics tutorial covering how to connect to a webcam in python, how to configure a webcam in python and how to make a basic openCV video interface. Perfect for people doing image processing using python, or getting started with the basics of image processing, or just wanting to do an easy timelapse. For more ideas on how to use your python webcam or on how to get started in python image processing, consider checking out our other videos. Github link for the code used in this tutorial: 🤍
Welcome to this Python OpenCV tutorial. In this video, I'll be talking about cameras and video capture within OpenCV. Specifically, I'll be showing you how we can load our webcam, how we can view that in live time, and how we can manipulate the image from the camera feed. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Relevant Documentation: 🤍 📝Code For This Series: 🤍 🔍 Playlist: 🤍 ⭐️ Timestamps ⭐️ 00:00 | Introduction 00:50 | Displaying video capture device 07:11 | Mirroring video multiple times ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Images within OpenCV - Image Manipulation OpenCV - Image Fundamentals OpenCV - Python - Computer vision - Cameras and video capture ⭐️ Hashtags ⭐️ #OpenCV #Python #CameraCapture
Webcam image capture using opencv in python under 7 minutes Code: 🤍 For install Opencv in windows, open cmd and write: pip install opencv-python In this video I will show how to make a webcam image capture using opencv in python.Opencv is a most popular library for face recognition system.OpenCV (Open source computer vision) is a library of programming functions mainly aimed at real-time computer vision.[1] Originally developed by Intel, it was later supported by Willow Garage then Itseez (which was later acquired by Intel[2]). The library is cross-platform and free for use under the open-source BSD license. OpenCV supports some models from deep learning frameworks like TensorFlow, Torch, PyTorch (after converting to an ONNX model) and Caffe according to a defined list of supported layers.[3]. It promotes OpenVisionCapsules. [4], which is a portable format, compatible with all other formats. Today we are use opencv and python for our project. Please subscribe my channel for more video... Buy a mouse from BDShop: 🤍 Buy wirless mouse and keybordfrom BDShop: 🤍 Related tag:opencv,python,opencv python,image processing,opencv tutorial,opencv python tutorial,image processing using python,opencv python tutorial for beginners,python (programming language),detect color in image opencv python,opencv (software),capture webcam python,capture video python,how to detect red color in opencv python,detect color opencv python,capture video in opencv,motion detector using python,opencv,opencv (software),opencv tutorial,opencv python,python opencv,opencv windows,python,how to install opencv,opencv python tutorial,opencv 3,opencv2,opencv 4.0,ros opencv,opencv api,opencv nedir,opencv usage,opencv cmake,setup opencv,opencv setup,video opencv,opencv basic,what is opencv,opencv basics,install opencv,opencv library,opencv install,opencv kurulum,opencv samples,contour opencv,opencv examples,opencv dersleri. Me in facebook: 🤍 #Opencv #Python #Image_capture Music in this video Track: Cartoon, Daniel Levi - On & On [NCS Release] Music provided by NoCopyrightSounds. Watch: 🤍 Free Download / Stream:🤍
In this step by step tutorial I'll show you how to steam live video feed from your mobile phone camera - straight into your Python code. For this we will use an Android app named "Ip Webcam", and we will combine it with the most popular computer vision library - open CV! I will show you how to access your camera feed on your computer and how to display it in your Python file. You will also learn a few basic transformations to videos, in case you'd like to manipulate the filters and general appearance of your stream. Keep in mind that we will use this incredible functionality in our upcoming 🥝 KivyMD GUI Mobile project 🥝 so please pay extra attention to the first few steps! 😉 ⭐ TIME STAMPS ⭐ 00:00 - introduction 00:14 - install Ip Webcam 00:32 - render live camera feed in browser 01:13 - broadcast live mobile camera feed with Open CV 04:46 - convert video to greyscale 05:31 - mirror/flip video horizontally 06:25 - thanks for watching! 📜 OpenCV Documentation (Python): 📜 🤍 🧐 My Image Processing with Pillow (PIL) Tutorial 🧐 🤍 * Thank you Flat Icon for the lovely icons on the thumbnail! 🤩 🤍flaticon.com
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#GUI #qtdesigner #python I have connect webcam with my GUI with the help of show button, capture webcam scene and save it in a specific folder. I use label for displaying webcam Image , Push buttons for capturing Image and text Browser for instructions.
This video will teach you how to work with videos and webcams using OpenCV and Python. It opens up the possibility for lots of projects like smart doorbells, photobooths, and more. This is the fourth video of a series on OpenCV for Python. Follow along with this playlist: 🤍 The code is available on GitHub: 🤍 Subscribe for more Python tutorials :) 🤍 Amazon Links: MY CAMERA: 🤍 MY MICROPHONE: 🤍 MY LIGHTING: 🤍 FREE Amazon Prime: 🤍 FREE Audible Plus: 🤍 RASPBERRY PI 4: 🤍 RASPBERRY PI PICO START KIT: 🤍 RASPBERRY PI CAMERA V2: 🤍 ELECTRONICS COMPONENT STARTER KIT: 🤍 ASSORTED SENSOR KIT: 🤍 USB SPEAKER: 🤍 USB 1080P WEBCAM: 🤍 I may earn commission if you purchase from the links above TIMESTAMPS: 0:00 Intro 0:40 Showing video 4:32 Writing video List of FourCC video codes: 🤍 10:40 Happy coding
In this video our talented team member Muhammad Zeeshan will teach you how to open you webcam by using python's IDE Pycharm which will be very effective for you AI project e.g Face Recognition Program. Face Recognition Program video will be uploaded soon. Facebook: 🤍
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Get the Source Code of Application here: 🤍 #python #opencv #pythonproject Welcome Folks My name is Gautam and Welcome to Coding Shiksha a Place for All Programmers. You can learn Web Development and Programming Tutorials. Donate to Our Youtube Channel at : 🤍 Subscribe for more Videos: 🤍 Watch next – [Popular Videos on the Channel] [Login with Google Account using Javascript] 🤍 [What is AJAX and How it Works | Short Tutorial for Beginners] 🤍 [Javascript Fetch Api Example] 🤍 [jsPDF Tutorial | PDF Library in Javascript] 🤍 [Youtube Data API V3 App in 1 Hour] 🤍 [AngularJS CRUD Application] 🤍 [Uploading Files using Google Drive Api] 🤍 Recommended Playlist – [Build a CRUD Applicaiton in VUE and Firebase] 🤍 [MongoDB Tutorial for Absolute Beginners] 🤍 [Building a Playlist Search App using Youtube Data Api v3] 🤍 [Secure Login System in PHP & MYSQL] 🤍 [Real Time Chatting App in Socket.io and Express] 🤍 Let’s connect: Facebook Page – 🤍 Official Website – 🤍
Hey Guys, Today in this video we will learn how we can build a simple camera app using Python. Module Needed to Build Camera App in Python: 1. cv2 2. Tkinter 3. PIL 4. DateTime Python provides various libraries for image and video processing. One of them is OpenCV. OpenCV is a vast library that helps in providing various functions for image and video operations. With OpenCV, we can capture a video from the camera. It lets you create a video capture object which is helpful to capture videos through a webcam and then you may perform desired operations on that video. And also we have used the Tkinter module to create the GUI of the application. Source Code: 🤍 Related Questions: How to build camera app, camera app in python, capture image using webcam in python, webcam camera application python, python camera software, Camera GUI using python and open CV Tags: #Camera #BuildCamera #PythonCamera * Like👍 Share✔Comment👇🏻Subscribe❤❤❤❤ Visit OUR website 🤍 Do Let us know if you have any problems in the comment section below. Thanks for Watching = See you with the next Video.
Learn how you can create some live face detection in Python in less than 20 minutes. We will be using opencv-python, face_recognition, dlib, and some other cool packages! Source code: 🤍
How to access webcam camera using opencv python is shown #opencv #python
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in this video you will see the program through which you can access your mobile camera with the program in computer. whatever your mobile camera see that will also seen on the computer screen modules want: = opencv-python source code: 🤍
Hello Guys, Hope you will be benefited from this series. I am going to integrate the final project of this series into JARVIS. So, please stay connected. JARVIS : 🤍 If you have not subscribed to the channel please hit the subscribe button and press the bell icon. You can connect with me on social messaging apps also. Telegram : 🤍 Jai Hind #OpenCV #FaceRecognition #JARVIS
In this video, we will learn the following topics ►Webcam Properties ►Webcam Resolution ►Adjusting Webcam Resolution The link to the github repository for the code examples is as follows, ► 🤍 I teach Programming, Electronics, Science, and Mathematics on Udemy. 🤍udemy.com/user/AshwinPajankar #OpenCV #Python #Webcam Credits: Music: 🤍 Music: 🤍
This video is a simple, very short tutorial on how to connect your android phone camera to OpenCV. This may be very helpful for those who are planning to create some image processing applications which will use an android camera as the medium. I will be using Python 3.8 on a windows 10 machine. Without further ado let’s start the tutorial. Before we start make sure to install the following libraries: ● opencv-python ● numpy To install using pip, just type the following: ● pip install opencv-python ● pip install numpy Steps: Step 1: Next is to download and install the IP Webcam application on your mobile phones. This will be used to make communication between your android phone and PC. Step 2: After installing the app make sure that your phone and PC are connected to the same network. Run the app on your phone and click Start server. Tip: scroll down, it’s at the very bottom. Step 3: After this, your camera will open up with an IP address at the bottom. Eg: https://192.168.43.1:8080 Step 4: Of course use the URL shown in your IP Webcam interface, replace it then run the code. In just a few moments a cv window will show and will do its magic. To close the window just press any key. That’s basically how to connect android phones to your Python application. Good luck and I hope you the very best on your projects. Source Code & Link: 🤍 #Accessphonecamerausingpython, #Ipwebcam, #Hackingsmartphonecamera, #Pythonhacking, #Livevideostreamingusingpython, #Livestreamingusingpython, #Videostreamingusingpython * For More Videos: ● Face Recognition based Attendance System 🤍 ● Vehicle Detection And Counting Using Python 🤍 ● Real-Time Face recognition 🤍 ●Smile Detector Using python 🤍 ●Face and Eye detection Using python 🤍 ●Fire detection using python. 🤍 ●Bird Detection Using python 🤍 ●Student Management system 🤍 ● Python Tutorial In Detail 🤍 ● Data Visualisation Running Graph 🤍 ● Computer Hacks and Tricks 🤍 * Follow Me Here For More Help or Queries Facebook - 🤍 Instagram - 🤍 * SUBSCRIBE NOW for weekly videos on Python Tutorial, Computer Hacks and Tricks, Data Visualisation, Technology, and Many More.
In this video i will show you how you can convert your mobile camera into wifi webcam and then use it for face recognition using opencv time stamp 00:00 : Intro 00:33 : python tutorial for face detection : 🤍 01:07 : android apps needed to convert android phone camera into wifi webcam 02:06 : interface that will give full access of you mobile camera from laptop, how to control mobile camera from laptop 03:40 : changes made in opencv program to grab video from mobile camera .open() method in opencv some methods used in video for face recognition or grabbing video from mobile : cv2.CascadeClassifier() cv2.VideoCapture() .open() .read() cv2.cvtColor() cv2.COLOR_BGR2GRAY scaleFactor minNeighbors cv2.rectangle() cv2.imshow() cv2.waitKey() .release() cv2.destroyAllWindows() tags : #opencv #ip_webcam #i_know_python
for more detailed explanation and code visit: 🤍 For Queries Visit my Forums: 🤍 As many of you requested I uploaded this tutorial to show you how you can use ip webcam in opencv and use your mobile as wireless webcam for your cool projects Keywords: Webcam IP con OpenCV Python Tutorial Webcam IP avec OpenCV Python Tutorial IP Webcam mit OpenCV Python Tutorial
Simple hands on tutorial on how to capture video stream from a webcam and store it as a video file using python and opencv. Source code: 🤍 OpenCV Tutorials playlist: 🤍 Support the channel: 🤍
In this video, we're going to create one super quick python project that is able to do the process of text detection with the help of Open cv, pillow & Pytesseract libraries Pytesseract download link: 🤍 * For Collab,Sponsors & Projects : queriesakpython🤍yahoo.com * Keep support me to get 25K subscribers ❤ *Ask your Doubts on Instagram: arun.codes * Ask your Doubts on Twitter: 🤍 *Discord community: 🤍 * Telegram: 🤍 (1.5K subscribers ) * Github: 🤍 * Blog: 🤍 ( Source code with explanations ) * If You get impressed with my work Then Buy me a cup of coffee: 🤍 * Music by: chill. by sakura Hz 🤍 Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: 🤍 Music promoted by Audio Library 🤍 * Thanks ..! All the videos, songs, images, and graphics used in the video belong to their respective owners and I or this channel does not claim any right over them. Copyright Disclaimer under section 107 of the Copyright Act of 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.”
In this video, we will learn the following topics ►Webcams ►Capturing still images using webcam and OpenCV Link to the Webcam Product page 🤍 We can download lsusb.exe from the following link 🤍 The link to the github repository for the code examples is as follows, ► 🤍 I teach Programming, Electronics, Science, and Mathematics on Udemy. 🤍udemy.com/user/AshwinPajankar #OpenCV #Python #Webcam Credits: Music: 🤍 Music: 🤍
This video explain on how to capture image using web camera and save the image in any storage location using python 3 and opencv programming language.
How to solve camera or webcam not working and opening in opencv python is showed
In this video, we are going to cover how to create a face detection system using OpenCV Python. This video will help you to understand what is OpenCV python, What is face detection, after which will do a hands-on lab demo to create face detection using OpenCV python. ⏺ Face Detection Using Webcam Python - 01:40 What is OpenCV 02:30 What is face detection 06:00 Hands-on lab demo ✅ What is face detection? Face detection, also known as facial detection, is a computer technology that uses artificial intelligence (AI) to find and recognize human faces in digital photographs. Face detection technology can enable real-time surveillance and tracking of people in various industries, such as security, biometrics, law enforcement, entertainment, and personal safety. ✅ What is OpenCV? A collection of Python bindings called OpenCV-Python was created to address issues with computer vision. Python is a general-purpose programming language created by Guido van Rossum that quickly gained popularity, largely due to its ease of use and readable code. The programmer can express concepts in less code without sacrificing readability. Numpy, a highly efficient library for numerical operations with a MATLAB-like syntax, is used by OpenCV-Python. Numpy arrays are translated into and out of all OpenCV array forms. ✅ What is the Face_recognition library? Face recognition and manipulation using Python or the command line. the easiest facial recognition library in the world. built using cutting-edge face recognition technology from dlib. developed using deep learning. 🔥Free Machine Learning Course With Completion Certificate: 🤍 ✅Subscribe to our Channel to learn more about the top Technologies: 🤍 ⏩ Check out the Machine Learning tutorial videos: 🤍 #FaceDetectionUsingWebcamPython #FaceDetection #OpenCV #FaceRecognition #MachineLearningUsingPython #MachineLearningProjects #MLProject #MachineLearning #ML #PythonProjects #MachineLearningTutorial #MLTutorial #SimplilearnMachineLearning #MachineLearningPython #Simplilearn ⏩ Check all the Machine Learning Projects Videos : 🤍 About Simplilearn Machine Learning course: A form of artificial intelligence, Machine Learning is revolutionizing the world of computing as well as all people’s digital interactions. Machine Learning powers such innovative automated technologies as recommendation engines, facial recognition, fraud protection and even self-driving cars.This Machine Learning course prepares engineers, data scientists and other professionals with knowledge and hands-on skills required for certification and job competency in Machine Learning. What skills will you learn from this Machine Learning course? By the end of this Machine Learning course, you will be able to: 1. Master the concepts of supervised, unsupervised and reinforcement learning concepts and modeling. 2. Gain practical mastery over principles, algorithms, and applications of Machine Learning through a hands-on approach which includes working on 28 projects and one capstone project. 3. Acquire thorough knowledge of the mathematical and heuristic aspects of Machine Learning. 4. Understand the concepts and operation of support vector machines, kernel SVM, naive Bayes, decision tree classifier, random forest classifier, logistic regression, K-nearest neighbors, K-means clustering and more. 5. Be able to model a wide variety of robust Machine Learning algorithms including deep learning, clustering, and recommendation systems 👉Learn more at: 🤍 For more updates on courses and tips follow us on: - Facebook: 🤍 - Twitter: 🤍 - LinkedIn: 🤍 - Website: 🤍 Get the Android app: 🤍 Get the iOS app: 🤍 🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688
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I have connect webcam with my GUI with the help of show button, capture webcam scene and save it in a specific folder with unique name. I also used exit button to exit gui and window properly. I use label for displaying webcam Image , Push buttons for capturing Image and text Browser for instructions. This project have some special features like each image will save with unique name of date and time which prevent over writing of images. there is an other exit button which is mostly required when you want to shutdown your window. _ #CaptureImagWithUniqueName #QtDesigner #Python
#facedetection #LiveFaceDetection Hey guys, In this video I've explained how to detect face live using OpenCV library. I hope you'll find it helpful, if you did then make sure you smash the like button, and if you are new to this channel, then consider subscribing and also turn on the notification bell, so that you never miss any further update's. I'll see you in the another video, Until then, stay calm and keep coding. Link : 🤍 code : 🤍
In this video we're going to create a QRcode scanner that takes input from the webcam after that it will take you to the browser to open the hidden data in the QRcode. * For Collab,Sponsors & Projects : queriesakpython🤍yahoo.com * Keep support me to get 25K subscribers ❤ * Source code: 🤍 *Ask your doubts on Twitter : 🤍 * Github: 🤍 *Blog: 🤍 * If You get impressed with my work Then Buy me a cup of coffee: 🤍 * Music by: chill. by sakura Hz 🤍 Creative Commons — Attribution 3.0 Unported — CC BY 3.0 Free Download / Stream: 🤍 Music promoted by Audio Library 🤍 * Thanks ..! All the videos, songs, images, and graphics used in the video belong to their respective owners and I or this channel does not claim any right over them. Copyright Disclaimer under section 107 of the Copyright Act of 1976, allowance is made for “fair use” for purposes such as criticism, comment, news reporting, teaching, scholarship, education, and research. Fair use is a use permitted by copyright statute that might otherwise be infringing.”
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In this video, you will learn how to leverage the VideoCapture function in OpenCV to read a live feed from an IP Camera (Or your phone's Camera), Webcam, Video files & Gifs. I’ll also be covering some very useful additional things like getting and setting different video properties (height, width, frame count, fps, etc), manually changing the current frame position to repeatedly display the same video, and capturing different key events. Download Code for this Video: 🤍 Read Blogpost Here: 🤍 Join Computer Vision Course: 🤍 If you want us to create AI and computer vision solutions for you, then reach out to us here: 🤍 - If you enjoyed this video then don't forget to subscribe and like this video. 🎇 Subscribe to this Channel: 🤍 🎇 Subscribe to Bleed AI Blog: 🤍 🎇 Check out our Courses: 🤍 Follow Bleed AI for more 👣 : ◼ Website: 🤍 ◼ Facebook Page: 🤍 ◼ Linkedin: 🤍 ◼ Instagram: 🤍 ◼ Twitter: 🤍 ◼ Patreon: 🤍
Welcome back to another video! In this video, I'm going to show how to create a security camera system using OpenCV. We'll be detecting a face or body in the footage so a webcam or external camera that can connect to your computer is needed. We'll be using that camera through OpenCV and detecting a face or body before recording. 💻 AlgoExpert is the coding interview prep platform that I used to ace my Microsoft and Shopify interviews. Check it out and get a discount on the platform using the code "techwithtim" 🤍 📄 Resources 📄 OpenCV Tutorial Series: 🤍 Code In This Video: 🤍 OpenCV FourCC's: 🤍 OpenCV HaarCascades: 🤍 Fix Pip (Mac): 🤍 Fix Pip (Windows): 🤍 ⭐️ Timestamps ⭐️ 00:00 | Overview 01:15 | OpenCV Setup 02:43 | Displaying Webcam Video 06:35 | Detecting Faces and Bodies 12:46 | Drawing Faces On Video 16:09 | Saving And Recording Video 20:25 | Security Camera Logic ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ 💰 Courses & Merch 💰 💻 The Fundamentals of Programming w/ Python: 🤍 👕 Merchandise: 🤍 🔗 Social Medias 🔗 📸 Instagram: 🤍 📱 Twitter: 🤍 ⭐ Discord: 🤍 📝 LinkedIn: 🤍 🌎 Website: 🤍 📂 GitHub: 🤍 🔊 Podcast: 🤍 🎬 My YouTube Gear 🎬 🎥 Main Camera (EOS Canon 90D): 🤍 🎥 Secondary Camera (Panasonic Lumix G7): 🤍 📹 Main Lens (EFS 24mm f/2.8): 🤍 🕹 Tripod: 🤍 🎤 Main Microphone (Rode NT1): 🤍 🎤 Secondary Microphone (Synco Wireless Lapel System): 🤍 🎤 Third Microphone (Rode NTG4+): 🤍 ☀️ Lights: 🤍 ⌨ Keyboard (Daskeyboard 4Q): 🤍 🖱 Mouse (Logitech MX Master): 🤍 📸 Webcam (Logitech 1080p Pro): 🤍 📢 Speaker (Beats Pill): 🤍 🎧 Headphones (Bose Quiet Comfort 35): 🤍 🌞 Lamp (BenQ E-reading Lamp): 🤍 🌞 Secondary Lamp (BenQ Screenbar Plus): 🤍 💻 Monitor (BenQ EX2780Q): 🤍 💻 Monitor (LG Ultrawide 34WN750): 🤍 🎙 Mic Boom Arm (Rode PSA 1): 🤍 🎚 Audio Interface (Focusrite Scarlet 4i4): 🤍 💸 Donations 💸 💵 One-Time Donations: 🤍 💰 Patreon: 🤍 ◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️◼️ ⭐️ Tags ⭐️ - Tech With Tim - Security - OpenCV - Security Camera - Detecting Faces - Python ⭐️ Hashtags ⭐️ #TechWithTim #SecurityCamera
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![Reading Webcams In Python [Python OpenCV Tutorial]](https://i.ytimg.com/vi/5ohvgg1jyPQ/mqdefault.jpg "Reading Webcams In Python [Python OpenCV Tutorial]")
