Opencv Detect Circles In Video

OpenCV can also be used for detecting different types of shapes automatically from the image. OpenMP on OS X. To identify circles, ellipses or in general any shape in which the pixels are connected we use the SimpleBlobDetector() function of OpenCV. Now you have created and configured a new Java project it is time to test it. A good example for Harris Corner Detection is provided in OpenCV Documentation. The technique followed is similar to the one used to detect lines, as discussed in this article. How to detect simple geometric shapes using OpenCV up vote 31 down vote favorite 44 I have this project where I need (on iOS) to detect simple geometric shapes inside an image. All samples were updated to use new `nvxio::SyncTimer` class. This project requires a webcam to serve as Intel Galileo’s “eyes” to capture pictures and videos and apply algorithms using OpenCV. Looks like HTML5 Video tag did not work you can download the video here. Tutorial 2: OpenCV for Android Setup: Tutorial 3: Client-Server Communication for Android Projects: EE368 samples repository The code samples used in the tutorials and the projects showcased below can be found on the EE368 GitHub repository. Motion Detection and Video Interaction with OpenCV. This won’t be 100%, there will be residual noise, but you want to be able to detect the pips, as circles, which you count using OpenCV’s HoughCircles method. , 5 to 10 km) over a large region of the Earth's surface along the orbital track of the satellite, mark the time of occurrence of the lightning, and measure the radiant energy. You can define all parameters e. So the requirements in short:. Today we'll see how we can detect circles (or balls) in an image. In the line tracking process. What is the best algorithm for rectangle detection? Hey all, I want to detect and track rectangle pattern. You can vote up the examples you like. Reboot your Raspberry Pi. Our task is to detect and recognize. Tired of opening the refrigerator only to find that your favourite snack is missing? Get video evidence of sneaky fridge thieves sent to your phone, with Adrian Rosebeck’s Raspberry Pi security camera project. Great question. Learn Computer Vision using OpenCV in Python, using the latest 2018 concepts, and implement 12 awesome projects! In this course, you will discover the power of OpenCV in Python, and obtain the skills to dramatically increase your career prospects as a Computer Vision developer. By using below code we will be able to detect circle, rectangle, triangle, square and stars from the image. Last week we learned how to compute the center of a contour using OpenCV. Today we'll see how we can detect circles (or balls) in an image. This script makes use of OpenCV python. 0 to detect circles through a Webcam, USB Camera or a GoPro. Video I/O - an easy-to-use interface to video capturing and video codecs. py [--pause] []--pause - Start with playback paused at the first video frame. circle_storage – In C function this is a memory storage that will contain the output sequence of found circles. Install OpenCV 4 on Raspberry Pi for C++ and Python development Posted on September 17, 2019 by Paul. To identify circles, ellipses or in general any shape in which the pixels are connected we use the SimpleBlobDetector() function of OpenCV. where define the center position (gree point) and is the radius, which allows us to completely define a circle, as it can be seen below:. detecting and counting fingertips using your webcam, in frames of a video stream or in still images using my npm…. To identify circles, ellipses or in general any shape in which the pixels are connected we use the SimpleBlobDetector() function of OpenCV. we will learn how to detect lines and circles in an image. Dependencies. This program is able to detect circles in images. Hi I'm trying to detect eye pupil by : process the frame with VideoCapture function Convert it into Gray Scale Image. org/2007/12/opencv-detect-circles-with-hough. Blur the image by GaussianBlur opencv api. You can operate the HSV (Hue, Saturation, Value) sliders to isolate the colour you want to detect in the image. Robert authored OpenCV2 Computer Vision Application Programming Cookbook in 2011 and co-authored Object Oriented Software Development published by McGraw Hill in 2001. c++ program to detect circle in image using opencv. The code is compatible with both OpenCV 2 and 3 versions. Detecting Circles in Images using OpenCV and Hough Circles. Template Matching. However i keep getting inconsistency and worse, sometimes unnecessary circles also in the loop. Now we are almost done. Pedestrian detection is an important component of many Advanced Driver Assistance Solutions (ADAS). Bhaumik Vaidya is an experienced computer vision engineer and mentor. these pattern I want to set on object which moving and captured using webcam. What is a Blob ? A Blob is a group of connected pixels in an image that share some common property ( E. Basicly what i do is to get the video frame and simply place it where i used to have my source from a simple "imread(. Circles, corresponding to the larger accumulator values, will be returned first. import cv2 import numpy as np Firstly, let us import the required dependencies, opencv and numpy. We pass in the image we want to detect circles as the first argument, the circle detection method as the second argument (currently, the cv2. 3 Using OpenCV with Eclipse (plugin CDT). I need the candidate to work on an Image Processing based smart park management system, which I would send car park footages and he/she would write a script/algorithm to detect occupied and free slots and updating the data in an Android. Therefor it uses the hough algorithm CvHoughCircles from the OpenCV library. 7-6 The performance of such algorithms as Classifier::detectMultiScale and opencv_traincascade can be optimized via the installation of additional packages, and then enabling them when rebuilding OpenCV with various build flags. Image Processing (imgproc module) In this section you will learn about the image processing (manipulation) functions inside OpenCV. 1 Installation in Linux. YOLO Object Detection. Simulations show that this method can satisfy the distance measurement. I am also looking for a cheap video camera(up to 40$) that I can hook up to the Arduino. Book Description. 2 Using OpenCV with gcc and CMake. The smaller it is, the more false circles may be detected. Introduction to OpenCV The OpenCV Tutorials, Release 2. Canny() function Apply HoughCircles function. detect corner rotation angle opencv , opencv detect face , opencv detect face video frames , opencv edge detect , opencv detect object , opencv detect cars , opencv face detect video , detect bottle opencv , detect objects opencv , opencv face eye detect , detect facial features opencv , opencv detect eyes open , opencv form face detect. This uses OpenCV 3. What is a Blob ? A Blob is a group of connected pixels in an image that share some common property ( E. I will not cover the actual OpenCV code – it’s mostly just sample code, and the scope of this tutorial is purely to introduce you to a way of making OpenCV and Unity communicate in an optimized way. If one wishes to use this on an Image or Saved Video, it can also be done with a little Modification. In this video tutorial we're going to see how to detect shapes of geometric figures (like rectangles, triangles and circles) in a live video. Robotic vision: Recognizing shapes, objects and people We can also apply a Hough transform to detect a more complicated shape - circles: you can use the video feed from a camera or, for. Detecting Barcodes in Images with Python and OpenCV. Capture video from a connected webcam, then use the Caffe deep learning framework to classify whatever is in front of the camera. 1; 2; 3; 4; 5 » Partitioning the LIS/OTD Lightning Climatological Dataset Lightning Climatological Dataset. Blur the image by GaussianBlur opencv api. Only bid if you have good skills with opencv and have been finished similar project before. Introduction to OpenCV The OpenCV Tutorials, Release 2. GoCV comes with various useful command line utilities, that are also examples of how to use the package. The windows should appear on the desktop like in the above image. virtual void detect (InputArray src, OutputArray circles, Stream & stream = Stream::Null ()) = 0 Finds circles in a grayscale image using the Hough transform. Bhaumik Vaidya is an experienced computer vision engineer and mentor. In this video, we use a Raspberry Pi Zero W and a Raspberry Pi camera to make a smart security camera! The camera uses object detection (with OpenCV) to send you an email whenever it sees an intruder. The implementation was done using Python and OpenCV and it involved Single Shot Multi-Box (SSD) Deep Learning algorithm, optical flow and morphology etc. Open Source Computer Vision Library. Tired of opening the refrigerator only to find that your favourite snack is missing? Get video evidence of sneaky fridge thieves sent to your phone, with Adrian Rosebeck’s Raspberry Pi security camera project. Learn about the important classes and functions of OpenCV with complete working examples applied to real images; Who This Book Is For. we can use the circle Hough Transform to detect the circles. Our task is to detect and recognize. The documentation quite cleary states that input should be "8-bit, single-channel, grayscale input image", so why are you calling it with something else? - Dan Mašek Aug 22 '17 at 16:12. Learn to detect lines in an image. Therefor it uses the hough algorithm CvHoughCircles from the OpenCV library. So we will have an introduction to OpenCV, the features, the version, and all the other details, we will. Find the contours…. Orange Box Ceo 4,736,739 views. Some information about how algorithm works and its e Install OpenCV 2. Introduction to OpenCV The OpenCV Tutorials, Release 2. The paper explaining this algorithm can be found here; and the related video, here. It also runs a webcam so you can view live video from the camera when you are away. In this article, I will show you how to install OpenCV 4 with Python and C++ support on Raspberry Pi. I have been experimenting with OpenCV to use webcam as a control device. You can operate the HSV (Hue, Saturation, Value) sliders to isolate the colour you want to detect in the image. OpenCV C++ tutorial along with basic Augmented reality codes and examples. It works in a very similar fashion to HoughLines, but where minLineLength and maxLineGap were the parameters to discard or retain lines, HoughCircles has a minimum distance between the circles’ centers and the minimum and maximum radius of the circles. we will learn how to detect lines and circles in an image. In order to determine the distance from our camera to a known object or marker, we are going to utilize triangle similarity. How to share a compiled iOS app ipa with your users for testing using Dropbox or your website. image and video processing. 0 Computer Vision with Java is a practical tutorial guide that explains fundamental tasks from computer vision while focusing on Java development. In this tutorial, you’ll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python. Bhaumik Vaidya is an experienced computer vision engineer and mentor. You can read more about it here. Traffic sign detection and recognition using OpenCV Abstract: The aim of the project is to detect and recognize traffic signs in video sequences recorded by an onboard vehicle camera. The purpose of detecting corners is to track things like motion, do 3D modeling, and recognize objects, shapes, and characters. A Digital Image Processing Approach to Circle Detection in Real Time. Computer vision and object recognition is an extremely difficult problem. The above image is color image. Your votes will be used in our system to get more good examples. Orange Box Ceo 4,736,739 views. Introduction to OpenCV The OpenCV Tutorials, Release 2. these pattern I want to set on object which moving and captured using webcam. cvtColor (full_image, cv2. Here, we are going to call all shapes as a blob. Circle-And-Line-Detection. The image is thresholded and the largest contour is found. A circle is represented mathematically as where is the center of the circle, and is the radius of the circle. Implementation. Things to know: The code will only compile in Linux environment. Android Java (OpenCV) function to detect which circles (OMR) are filled in mobile captured image I need to develop an android app which can capture images of forms (OMR sheet) and can detect which circles are filled in the form. All you need is basic knowledge of Java, with no prior understanding of computer vision required, as this book will give you clear explanations and examples of the basics. HoughCircles (image_gray, cv2. You can read more about it here. Building a Raspberry Pi security camera with OpenCV Learn how to build a IoT + Raspberry Pi security camera using OpenCV and computer …. By applying object detection, you'll not only be able to determine what is in an image, but also where a given object resides! We'll. Apply the Hough Transform to find the circles. Draw rectangles around objects with a mouse to track them. … some other helper modules, such as FLANN and Google test wrappers, Python bindings, and others. The red boxes are dlib's face detector and the circles are from OpenCV's face detector. In this tutorial, you'll learn how to use the YOLO object detector to detect objects in both images and video streams using Deep Learning, OpenCV, and Python. I'm using opencv houghcircle function to detect circles. See below for the gist: Hey Adrian, Love your blog. Demonstrates basic object tracking using OpenCV. Please use any video in youtube. 1; 2; 3; 4; 5 » Partitioning the LIS/OTD Lightning Climatological Dataset Lightning Climatological Dataset. ColorMap(startcolor, endcolor, startmap, endmap)¶. Download with Google Download with Facebook or download. I’ve always found reading someone else’s codebase an excellent learning tool. How to share a compiled iOS app ipa with your users for testing using Dropbox or your website. The paper explaining this algorithm can be found here; and the related video, here. So the requirements in short:. Parameters:. About This Video. Also I can detect circles around the potentiometers. OpenCV supplies algorithms for: image processing, feature detection, object detection, machine-learning, and video analysis. See the same OpenCV posting for details, which includes a section for Visual Studio 2010 considerations. Welcome to a corner detection with OpenCV and Python tutorial. Modern Pathshala. This project requires a webcam to serve as Intel Galileo’s “eyes” to capture pictures and videos and apply algorithms using OpenCV. The windows should appear on the desktop like in the above image. How to share a compiled iOS app ipa with your users for testing using Dropbox or your website. OpenCV can also be used for detecting different types of shapes automatically from the image. A Digital Image Processing Approach to Circle Detection in Real Time. In the image above, the dark connected regions are blobs, and the goal of blob detection is to identify and mark these regions. OpenCV C++ Program for Face Detection This program uses the OpenCV library to detect faces in a live stream from webcam or in a video file stored in the local machine. A common problem in geometry class is to have you calculate the area of a circle based on provided information. Motion Detection and Video Interaction with OpenCV. The implementation was done using Python and OpenCV and it involved Single Shot Multi-Box (SSD) Deep Learning algorithm, optical flow and morphology etc. I will be using python, opencv and numpy to detect and count the number of red dots in the image shown below. OpenCV is a highly optimized library with focus on real-time applications. This uses OpenCV 3. Then a friend asked to help him develop an Algorithm which can detect a circle from a FPV Camera fitted to a RC Plane and adjust the alignment of the. Edge detection. method – Detection method to use. Apply the Hough Transform to find the circles. In order to determine the distance from our camera to a known object or marker, we are going to utilize triangle similarity. Things to know: The code will only compile in Linux environment. Image Transforms in OpenCV. g grayscale value ). circle_storage – In C function this is a memory storage that will contain the output sequence of found circles. At this point it will be enough to check if there are any circles. This tutorial explains simple blob detection using OpenCV. 7-6 The performance of such algorithms as Classifier::detectMultiScale and opencv_traincascade can be optimized via the installation of additional packages, and then enabling them when rebuilding OpenCV with various build flags. hi, many thanks for your explainantion :-) now i can use cvHoughCircles without any problem. GitHub Gist: instantly share code, notes, and snippets. Detecting Circles With OpenCV and Python: Inspiration :-The Idea for this came when I was tinkering with OpenCV and it's various functions. It has 11 objects of different shapes. I need POC as soon as possible. All about histograms in OpenCV. You will learn how to detect specific image features such as lines, circles or corners. Opencv provides Hough circle Detection algorithm which can be used to detect circles. Usage: mosse. Using the MATLAB calibration tool to perform stereo calibration of the camera, combined with OpenCV for stereo rectification and stereo matching, the disparity value is obtained, and the distance from the target to the camera is calculated by disparity. Detecting Barcodes in Images with Python and OpenCV. The HoughCircles function in OpenCV has the following parameters which can be altered according to the image. OpenCV C++ tutorial along with basic Augmented reality codes and examples. Hi I'm trying to detect eye pupil by : process the frame with VideoCapture function Convert it into Gray Scale Image. I will not cover the actual OpenCV code – it’s mostly just sample code, and the scope of this tutorial is purely to introduce you to a way of making OpenCV and Unity communicate in an optimized way. Find Canny Edges using cv2. OpenCV also has a function used to detect circles, called HoughCircles. The Open Source Computer Vision Library (OpenCV) offers freely available programming tools to handle visual input such as images, video files, or motion data captured by a camcorder. I know the Arduino is not powerful enough to handle complex image processing but I only need simple processing. I used Python and OpenCV to find lines in a real time video. image and video processing. Hough Circle Transform. tien nguyen. Today we'll see how we can detect circles (or balls) in an image. In this section, we learn about what features means in terms of OpenCV and what are the elements of good features in an image which may include edges, corners etc. NASA Technical Reports Server (NTRS) Lambert, Winnie. The edges in an image are the points for which there is a sharp change of color. HoughCircles (image_gray, cv2. So OpenCV uses more trickier method, Hough Gradient Method which uses the gradient information of edges. You need to know the formula for finding the area of a circle, A=\pi r^2. For sake of efficiency, OpenCV implements a detection method slightly trickier than the standard Hough Transform: The Hough gradient method. At this point it will be enough to check if there are any circles. I have previously used OpenCV for my masters’ thesis for detecting motion of people. See the same OpenCV posting for details, which includes a section for Visual Studio 2010 considerations. A good example for Harris Corner Detection is provided in OpenCV Documentation. It contains numerous ready-to-use functions for a wide range of applications. For bonus points you can detect the dice using contours too if you wish. Learn about the important classes and functions of OpenCV with complete working examples applied to real images; Who This Book Is For. The Hough Line Transform is a transform used to detect straight lines. OpenCV and Python versions: This example will run on Python 2. How to detect ellipses in image without using fitEllipse() in opencv? I am trying to detect elliptical kernels, in OpenCV using C++. In the line detection case, a line was defined by two parameters \((r, \theta)\). 0 and Gtkmm 3. OpenCV also has a function for detecting circles, called HoughCircles. OpenCV Color Detection and filtering with python. You will learn how to detect specific image features such as lines, circles or corners. There are predefined functions available in opencv for single scale, you will need to implement the mult. All you need is basic knowledge of Java, with no prior understanding of computer vision required, as this book will give you clear explanations and examples of the basics. This project requires a webcam to serve as Intel Galileo’s “eyes” to capture pictures and videos and apply algorithms using OpenCV. 1 Installation in Linux. It is also used in tracking objects, for example tracking a ball during a football match, tracking movement of a cricket bat, or tracking a person in a video. For this on command prompt run, raspistill -o cam. If you are using Intel Galileo, you will also need an OTG-USB adapter in order to connect the webcam because, unlike Intel Galileo Gen2, Intel Galileo does not have an OTG-USB connector. In this tutorial, let’s see how easy to find all contours in an image with OpenCV APIs. Circles, corresponding to the larger accumulator values, will be returned first. Here’s the full Source. Finding Circles: Finally, using the above circles as candidate circles, vote according to the image. However, that will have to wait. In this article, I will show you how to install OpenCV 4 with Python and C++ support on Raspberry Pi. 3 Using OpenCV with Eclipse (plugin CDT). this is my code so far, but it doesnt detect anything. Hough Line Transform. 53 The OpenCV Tutorials, Release 2. The following techniques are used: 1. 0 which is compatible with CUDA 10. The most recent methods for image matching and object recognition are described, and you'll discover how to process video from files or cameras, as well as how to detect. i grabbed some images from running frame and playing with variables of cvsmooth and cvsobel. Detect faces and people in images using machine learning techniques; OpenCV 3 Computer Vision Application Programming Cookbook Third Edition is appropriate for novice C++ programmers who want to learn how to use the OpenCV library to build computer vision applications. Run the code below with the Python Idle application on either the Raspberry Pi or the Windows desktop. The following are Jave code examples for showing how to use bitmapToMat() of the org. The usage is shown in the code below. This guide is mainly focused on OpenCV 3. In this tutorial, let’s learn how to use Hough line transformation with OpenCV to make line detection in an Image. The maximum voted circle in the accumulator matrix gives us the circle. js on Mac OS X. class SimpleCV. However, that will have to wait. What is the best algorithm for rectangle detection? Hey all, I want to detect and track rectangle pattern. From equation, we can see we have 3 parameters, so we need a 3D accumulator for hough transform, which would be highly ineffective. Open and process video streams from webcams or video files In Detail OpenCV 3. Hi, I want to connect a color video camera to my Arduino and process the data I get (Object recognition by color and such). In this recipe, you will learn how to detect pedestrians using a pre-trained SVM model with HOG features. Sample Image. image and video processing. Implementation. Tutorial 2: OpenCV for Android Setup: Tutorial 3: Client-Server Communication for Android Projects: EE368 samples repository The code samples used in the tutorials and the projects showcased below can be found on the EE368 GitHub repository. I need a Computer Vision programmer with experience in OpenCV for Python, MySQL programming, and Android application. Only bid if you have good skills with opencv and have been finished similar project before. At this point it will be enough to check if there are any circles. Today, we are going to leverage contour properties to actually label and identify shapes in an image, just like in the figure at the top of this post. The Hough Circle Transform works in a roughly analogous way to the Hough Line Transform explained in the previous tutorial. Raspberry Pi - Building SDL 2 on Raspbian. Template Matching. So you can calibrate your camera in BoofCV using the assisted calibration app and then use its results in OpenCV! Your project must include the 'javacv' module:. - Introduced new OpenGL based render for OpenCV video writer back-end on Windows platform. 0 and the latest version of Visual Studio 2017 was released on 18/11/2018, go to Build OpenCV 4. circle_storage – In C function this is a memory storage that will contain the output sequence of found circles. It also runs a webcam so you can view live video from the camera when you are away. In order to determine the distance from our camera to a known object or marker, we are going to utilize triangle similarity. Circle-And-Line-Detection. com/nikgens/a79f03bc37. The usage is shown in the code below. From live video, I need to detect car license plate and save in mysql in real time. Learn how to search for an object in an image using Template Matching. opencv_videoio310. It works in a very similar fashion to HoughLines, but where minLineLength and maxLineGap were the parameters to discard or retain lines, HoughCircles has a minimum distance between the circles’ centers and the minimum and maximum radius of the circles. Learn to detect lines in an image. JavaCV - Red color based thresholding (RGB-A space) in image using OpenCV : Full working java source code Note that the order of colors is BGR-A not RGB-A. Hi everyone, my different codes to detect circles do work well on single images but for my application i would need to apply it to a video frame (image extracted from a videoCapture). This program uses C++ (in VS2010) and the OpenCV library to track motion detected in live web-cam video and allows the user to interact with a set of moving and bouncing circles. Please use any video in youtube. The Hough Line Transform is a transform used to detect straight lines. - Removed deprecated `nvxio::Render::putText` method. The windows should appear on the desktop like in the above image. This project is POC for big project. Sample Image. Circle-Detection-in-Real-Time. As with any other project that uses OpenCV, the cvblobslib VC++ project will also need to be set up so that OpenCV is correctly installed, and it knows where to find the library files, additional includes etc. Learn how to detect lines in an image. Each vector is encoded as a 3-element floating-point vector. It has a very visible texture. Circle detection with OpenCV 3. In this video tutorial we’re going to see how to detect shapes of geometric figures (like rectangles, triangles and circles) in a live video. x version (although most of the tutorials will work with OpenCV 2. From equation, we can see we have 3 parameters, so we need a 3D accumulator for hough transform, which would be highly ineffective. these pattern I want to set on object which moving and captured using webcam. It works in a very similar fashion to HoughLines, but where minLineLength and maxLineGap were the parameters to discard or retain lines, HoughCircles has a minimum distance between the circles’ centers and the minimum and maximum radius of the circles. Orange Box Ceo 4,736,739 views. OpenCV_MotionDetect_Circles. By using below code we will be able to detect circle, rectangle, triangle, square and stars from the image. Learn Computer Vision using OpenCV in Python, using the latest 2018 concepts, and implement 12 awesome projects! In this course, you will discover the power of OpenCV in Python, and obtain the skills to dramatically increase your career prospects as a Computer Vision developer. In this code objects can be segmented using color detection and segmentation. In OpenCV this is implemented as. You will be introduced to the concepts of mathematical morphology and image filtering. Tutorial 2: OpenCV for Android Setup: Tutorial 3: Client-Server Communication for Android Projects: EE368 samples repository The code samples used in the tutorials and the projects showcased below can be found on the EE368 GitHub repository. I can use the hough circles on a still image. Here, we are going to call all shapes as a blob. OpenCV video editing tutorial. In this video tutorial we’re going to see how to detect shapes of geometric figures (like rectangles, triangles and circles) in a live video. So far I have been able to detect the state of ON-OFF switches, using matchTemplate. For this specific project my first aim is to simply capture video and to assess the highest frame rate achievable. OpenCV C++ Program for Face Detection This program uses the OpenCV library to detect faces in a live stream from webcam or in a video file stored in the local machine. Pedestrian detection is also used in video surveillance systems, and many other computer vision applications. Learn how to detect lines in an image. Today, we are going to leverage contour properties to actually label and identify shapes in an image, just like in the figure at the top of this post. The following are Jave code examples for showing how to use bitmapToMat() of the org. Find Canny Edges using cv2. gpu - GPU-accelerated algorithms from different OpenCV modules. OpenCV Color Detection and filtering with python. It has a very visible texture. Videos to help you build computer vision applications that make the most of the popular C++ library, OpenCV 3. Help function in Python and OpenCV with threshold, edges and contours to detect circles on the images Python code: https://gist. Hough Line Transform. cvtColor (full_image, cv2. cpp which is used to track faces and send their location to Unity. A few days ago, I got an email from a PyImageSearch reader asking about circle detection. Grab a frame from webcam, convert to HSV format, use the HSV thresholds for the colored discs to make 4 binary images, erode and dilate to get rid of noise, use HoughCircles to detect the circles in the binary images, so on and so forth. Basic motion detection and tracking with Python and OpenCV. Finding Circles: Finally, using the above circles as candidate circles, vote according to the image. I chose OpenCV to give me flexibility in my recording and playback.