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Tag: Vision

  • Creality Official Nebula Camera, Night Vision, 24-Hour Remote Monitoring, WiFi Connection, Auto Generate Time-Lapse Video, Compatible Sonic Pad/Nebula Pad/Ender-3 V3 KE/CR-10 SE/Halot Mage Pro

    Creality Official Nebula Camera, Night Vision, 24-Hour Remote Monitoring, WiFi Connection, Auto Generate Time-Lapse Video, Compatible Sonic Pad/Nebula Pad/Ender-3 V3 KE/CR-10 SE/Halot Mage Pro


    Price: $32.99
    (as of Dec 25,2024 11:35:00 UTC – Details)



    Creality Nebula Camera
    【Time-lapse Filming】
    【Real-time Monitoring】
    【Spaghetti Detection】
    【Manual focus for HD Quality】
    【Responsible after-sales service & Lifetime Technical Support】


    Introducing the Creality Official Nebula Camera!

    Keep an eye on your space day and night with the Creality Official Nebula Camera. Featuring night vision capabilities, 24-hour remote monitoring, and a WiFi connection, you can easily monitor your surroundings from anywhere at any time.

    But that’s not all – the Nebula Camera also has the ability to auto generate time-lapse videos, allowing you to capture and share moments with ease. Plus, it is compatible with Sonic Pad, Nebula Pad, Ender-3 V3 KE, CR-10 SE, and Halot Mage Pro, giving you even more flexibility in how you use this innovative camera.

    Don’t miss out on the convenience and peace of mind that the Creality Official Nebula Camera can provide. Get yours today and start monitoring your space like never before! #Creality #NebulaCamera #NightVision #RemoteMonitoring #TimeLapseVideo #WiFiConnection #Innovation
    #Creality #Official #Nebula #Camera #Night #Vision #24Hour #Remote #Monitoring #WiFi #Connection #Auto #Generate #TimeLapse #Video #Compatible #Sonic #PadNebula #PadEnder3 #KECR10 #SEHalot #Mage #Pro, Remote Monitoring

  • Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning

    Computer Vision with Maker Tech: Detecting People With a Raspberry Pi, a Thermal Camera, and Machine Learning


    Price: $23.38
    (as of Dec 25,2024 11:34:43 UTC – Details)




    ASIN ‏ : ‎ B08WHT34V2
    Publisher ‏ : ‎ Apress; 1st ed. edition (February 10, 2021)
    Publication date ‏ : ‎ February 10, 2021
    Language ‏ : ‎ English
    File size ‏ : ‎ 7283 KB
    Text-to-Speech ‏ : ‎ Enabled
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 250 pages
    Page numbers source ISBN ‏ : ‎ 1484268202


    In this post, we will explore how to use Maker Tech to create a computer vision system that can detect people using a Raspberry Pi, a thermal camera, and machine learning.

    Computer vision is a rapidly growing field that involves teaching computers to interpret and understand visual information, much like the human eye does. By combining the power of machine learning with affordable hardware like the Raspberry Pi and thermal cameras, we can create intelligent systems that can be used for a variety of applications, from security to healthcare.

    To get started with this project, you will need a Raspberry Pi, a thermal camera module, and access to machine learning tools like TensorFlow or OpenCV. The Raspberry Pi is a small, affordable computer that is perfect for running computer vision applications. The thermal camera module will allow us to capture thermal images, which can be used to detect the presence of people based on their body heat.

    Once you have all the necessary hardware and software, you can begin training your machine learning model to recognize people in thermal images. This will involve collecting a dataset of thermal images containing people and using it to train a neural network to classify these images.

    Once your model is trained, you can deploy it on your Raspberry Pi and connect it to your thermal camera. The system will then be able to detect the presence of people in real-time, making it a powerful tool for applications like security monitoring, crowd counting, and even healthcare monitoring.

    By combining the power of Maker Tech with computer vision and machine learning, you can create intelligent systems that can revolutionize the way we interact with the world around us. Give it a try and see what amazing things you can create with your Raspberry Pi, thermal camera, and machine learning skills!
    #Computer #Vision #Maker #Tech #Detecting #People #Raspberry #Thermal #Camera #Machine #Learning

  • Image Classification Using Python and Techniques of Computer Vision and Machine Learning: (Second Edition, Intermediate Version)

    Image Classification Using Python and Techniques of Computer Vision and Machine Learning: (Second Edition, Intermediate Version)


    Price: $9.95
    (as of Dec 25,2024 11:14:20 UTC – Details)




    ASIN ‏ : ‎ B0B1L5WJR1
    Publisher ‏ : ‎ M.J. Magic Publishing; 2nd edition (May 16, 2022)
    Publication date ‏ : ‎ May 16, 2022
    Language ‏ : ‎ English
    File size ‏ : ‎ 3834 KB
    Simultaneous device usage ‏ : ‎ Unlimited
    Text-to-Speech ‏ : ‎ Not enabled
    Enhanced typesetting ‏ : ‎ Not Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 134 pages
    Format ‏ : ‎ Print Replica


    Are you ready to take your image classification skills to the next level? In the second edition of our series on Image Classification Using Python and Techniques of Computer Vision and Machine Learning, we will dive deeper into intermediate concepts and techniques.

    In this intermediate version, we will cover advanced topics such as convolutional neural networks (CNNs), transfer learning, data augmentation, and fine-tuning pre-trained models. You will learn how to build more complex and accurate image classification models that can handle a wider range of tasks and datasets.

    Whether you are a student, a researcher, or a professional looking to enhance your skills in computer vision and machine learning, this course is for you. Join us on this exciting journey as we explore the fascinating world of image classification and take your skills to the next level.

    Stay tuned for updates on the release date and how you can enroll in this second edition of our series. Let’s continue our quest to master the art of image classification together! #ImageClassification #ComputerVision #MachineLearning #Python #IntermediateVersion
    #Image #Classification #Python #Techniques #Computer #Vision #Machine #Learning #Edition #Intermediate #Version

  • Babysense Add-On Camera Prisma Video Baby Monitor, Remote Pan Tilt Zoom, Two-Way Talk-Back Audio, Long Range, Night Vision, RGB Night Light, Lullabies, Temperature Monitoring

    Babysense Add-On Camera Prisma Video Baby Monitor, Remote Pan Tilt Zoom, Two-Way Talk-Back Audio, Long Range, Night Vision, RGB Night Light, Lullabies, Temperature Monitoring


    Price: $69.99
    (as of Dec 25,2024 11:11:07 UTC – Details)



    FOR PARENTS WANTING TO MONITOR MULTIPLE ROOMS OR CHILDREN– Add-on Babysense Camera. Can be used with the Babysense Prisma Monitor ONLY (not suitable for ANY OTHER MODEL!!!). – Allows pairing up to 4 cameras to your Prisma Parent Unit. – Includes camera unit power adapter.

    Additional Camera Unit for your Babysense Prisma Video Monitor (not suitable for ANY OTHER MODEL!!!)
    Multi-Camera Expandability – Pair up to four cameras to your Prisma Monitor For parents wanting to monitor multiple rooms or children
    Allows monitoring all paired cameras from one Parent Unit (Parent Unit is supplied separately when purchasing the complete Prisma Video Baby Monitor system)
    720p HD Camera with Remote Pan & Tilt, Tabletop or Wall Mounting Options. Supplied with wall mount screw set.
    Requires Babysense Prisma Video Baby Monitor (Not Supplied)


    Are you looking for a reliable and advanced baby monitor to keep an eye on your little one? Look no further than the Babysense Add-On Camera Prisma Video Baby Monitor! This high-tech monitor features remote pan, tilt, and zoom capabilities, so you can adjust the camera to get the perfect view of your baby’s crib.

    With two-way talk-back audio, you can soothe your baby with your voice from anywhere in your home. The long-range capabilities of this monitor ensure that you can stay connected to your baby no matter where you are in your house.

    The Babysense Add-On Camera also features night vision, so you can keep an eye on your baby even in the dark. The RGB night light provides a soft glow in your baby’s room, and the built-in lullabies can help soothe your little one to sleep.

    With temperature monitoring, you can ensure that your baby’s room is always at a comfortable temperature. This monitor truly has everything you need to keep your baby safe and sound. Don’t wait, get the Babysense Add-On Camera Prisma Video Baby Monitor today!
    #Babysense #AddOn #Camera #Prisma #Video #Baby #Monitor #Remote #Pan #Tilt #Zoom #TwoWay #TalkBack #Audio #Long #Range #Night #Vision #RGB #Night #Light #Lullabies #Temperature #Monitoring, Remote Monitoring

  • Babysense Add On Camera Video Baby Monitor MaxView, Remote Pan Tilt Zoom, Two-Way Talk-Back Audio, Long Range, Night Vision, RGB Night Light, Lullabies, Temperature Monitoring

    Babysense Add On Camera Video Baby Monitor MaxView, Remote Pan Tilt Zoom, Two-Way Talk-Back Audio, Long Range, Night Vision, RGB Night Light, Lullabies, Temperature Monitoring


    Price: $74.99
    (as of Dec 25,2024 11:01:20 UTC – Details)



    FOR PARENTS WANTING TO MONITOR MULTIPLE ROOMS OR CHILDREN– Add-on Babysense Camera can be used with the Babysense MaxView Monitor ONLY (not suitable for ANY OTHER MODEL!!!). – Allows pairing up to 4 cameras to your MaxView Parent Unit. – Includes camera unit power adapter.

    Additional Camera Unit for your Babysense Video Monitor MaxView (not suitable for ANY OTHER MODEL!!!)
    Multi-Camera Expandability – Pair up to four cameras to your MaxView Monitor For parents wanting to monitor multiple rooms or children
    Allows monitoring all paired cameras from one Parent Unit (Parent Unit is supplied separately when purchasing the complete MaxView Video Baby Monitor system)
    Motorized Camera with Remote Pan & Tilt, Tabletop or Wall Mounting Options. Supplied with wall mount screw set.
    Requires MaxView Video Baby Monitor (Not Supplied)


    Introducing the Babysense Add On Camera Video Baby Monitor MaxView!

    Keep an eye on your little one with ease thanks to this innovative baby monitor. The Babysense MaxView features remote pan, tilt, and zoom capabilities, allowing you to adjust the camera to get the perfect view of your baby. Plus, with two-way talk-back audio, you can soothe your baby with your voice from anywhere in the house.

    Not only does this monitor offer long-range coverage, but it also boasts night vision for clear viewing in low light conditions. The built-in RGB night light creates a soothing ambiance in your baby’s room, while lullabies help lull them to sleep.

    Keep track of your baby’s room temperature with the temperature monitoring feature, ensuring they are always comfortable and safe. Trust Babysense to provide reliable and convenient monitoring for your little one. Order your Babysense MaxView today! #babymonitor #babysense #parenting #babygear
    #Babysense #Add #Camera #Video #Baby #Monitor #MaxView #Remote #Pan #Tilt #Zoom #TwoWay #TalkBack #Audio #Long #Range #Night #Vision #RGB #Night #Light #Lullabies #Temperature #Monitoring, Remote Monitoring

  • Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

    Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications


    Price: $54.99 – $28.93
    (as of Dec 25,2024 10:58:57 UTC – Details)




    Publisher ‏ : ‎ Packt Publishing (January 2, 2018)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 486 pages
    ISBN-10 ‏ : ‎ 178847239X
    ISBN-13 ‏ : ‎ 978-1788472395
    Item Weight ‏ : ‎ 1.83 pounds
    Dimensions ‏ : ‎ 7.5 x 0.98 x 9.25 inches


    Computer Vision with OpenCV 3 and Qt5: Build visually appealing, multithreaded, cross-platform computer vision applications

    In today’s digital age, computer vision has become an increasingly important field with a wide range of applications, from facial recognition to object detection. OpenCV, a popular open-source computer vision library, provides powerful tools and algorithms for image processing and computer vision tasks.

    In this post, we will explore how to use OpenCV 3 and Qt5 to build visually appealing, multithreaded, cross-platform computer vision applications. By combining the powerful features of OpenCV with the flexibility and ease of use of Qt5, we can create advanced applications that harness the full potential of computer vision technology.

    One of the key advantages of using Qt5 for building computer vision applications is its ability to create visually appealing user interfaces. With Qt5’s intuitive design tools and extensive library of widgets, we can easily create interactive and user-friendly interfaces for displaying and interacting with our computer vision algorithms and results.

    Furthermore, Qt5’s support for multithreading allows us to leverage the power of modern multi-core processors to improve the performance of our computer vision applications. By dividing our processing tasks into multiple threads, we can achieve faster and more efficient image processing and analysis, enabling real-time performance for demanding applications.

    Finally, Qt5’s cross-platform capabilities ensure that our computer vision applications can run seamlessly on a variety of operating systems, including Windows, macOS, and Linux. This enables us to reach a wider audience and deploy our applications on a diverse range of devices, from desktop computers to embedded systems.

    In conclusion, by combining the capabilities of OpenCV 3 and Qt5, we can build visually appealing, multithreaded, cross-platform computer vision applications that leverage the power of modern computer vision technology. Whether you are a beginner or an experienced developer, exploring computer vision with OpenCV and Qt5 can open up new possibilities for creating innovative and impactful applications.
    #Computer #Vision #OpenCV #Qt5 #Build #visually #appealing #multithreaded #crossplatform #computer #vision #applications

  • Algorithms for Image Processing and Computer Vision – Paperback – GOOD

    Algorithms for Image Processing and Computer Vision – Paperback – GOOD



    Algorithms for Image Processing and Computer Vision – Paperback – GOOD

    Price : 5.28

    Ends on : N/A

    View on eBay
    Are you interested in learning about algorithms for image processing and computer vision? Look no further! “Algorithms for Image Processing and Computer Vision” is a comprehensive guide that covers the fundamental concepts and techniques used in the field.

    This paperback book provides in-depth explanations of various algorithms and their applications in image processing and computer vision. Whether you are a beginner or an experienced professional, this book is a valuable resource for anyone looking to enhance their knowledge in this exciting field.

    With clear explanations and practical examples, this book will help you understand the underlying principles of image processing and computer vision algorithms. From basic image enhancement techniques to advanced object detection algorithms, this book covers a wide range of topics to help you master the art of image processing and computer vision.

    Don’t miss out on this opportunity to expand your knowledge and skills in image processing and computer vision. Get your hands on a copy of “Algorithms for Image Processing and Computer Vision” today and take your understanding of this fascinating field to the next level!
    #Algorithms #Image #Processing #Computer #Vision #Paperback #GOOD

  • Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects

    Qt 5 and OpenCV 4 Computer Vision Projects: Get up to speed with cross-platform computer vision app development by building seven practical projects


    Price: $31.19
    (as of Dec 25,2024 02:01:44 UTC – Details)




    ASIN ‏ : ‎ B07TFD3CVW
    Publisher ‏ : ‎ Packt Publishing; 1st edition (June 21, 2019)
    Publication date ‏ : ‎ June 21, 2019
    Language ‏ : ‎ English
    File size ‏ : ‎ 19556 KB
    Text-to-Speech ‏ : ‎ Enabled
    Screen Reader ‏ : ‎ Supported
    Enhanced typesetting ‏ : ‎ Enabled
    X-Ray ‏ : ‎ Not Enabled
    Word Wise ‏ : ‎ Not Enabled
    Print length ‏ : ‎ 350 pages


    Are you interested in mastering computer vision app development with Qt 5 and OpenCV 4? Look no further! In this post, we will delve into seven practical projects that will help you get up to speed with cross-platform computer vision app development.

    From face detection and recognition to object tracking and augmented reality, this hands-on guide will walk you through the process of building real-world computer vision applications using Qt 5 and OpenCV 4. Whether you are a beginner or an experienced developer, these projects will provide you with the skills and knowledge needed to create cutting-edge computer vision applications.

    So, what are you waiting for? Dive into the world of computer vision and start building amazing applications today!
    #OpenCV #Computer #Vision #Projects #speed #crossplatform #computer #vision #app #development #building #practical #projects

  • Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See

    Practical Computer Vision with SimpleCV: The Simple Way to Make Technology See


    Price: $24.99 – $15.59
    (as of Dec 25,2024 01:21:38 UTC – Details)




    Publisher ‏ : ‎ O’Reilly Media; 1st edition (September 11, 2012)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 251 pages
    ISBN-10 ‏ : ‎ 1449320368
    ISBN-13 ‏ : ‎ 978-1449320362
    Item Weight ‏ : ‎ 14.8 ounces
    Dimensions ‏ : ‎ 7 x 0.53 x 9.19 inches

    Customers say

    Customers find the book easy to understand and follow, with a conversational tone. It covers the basics of computer vision systems in simple language. The authors are knowledgeable about the subject and the text is written in an easy-to-understand way.

    AI-generated from the text of customer reviews


    Computer vision is a rapidly growing field that is revolutionizing industries such as healthcare, retail, and manufacturing. With the ability to analyze and interpret visual data, computers can now perform tasks that were once thought to be exclusive to humans.

    One tool that has made computer vision more accessible is SimpleCV. SimpleCV is an open-source framework that simplifies the process of developing computer vision applications. With SimpleCV, you can easily perform tasks such as object detection, image classification, and facial recognition without having to be an expert in computer vision algorithms.

    In our latest post, we will explore the practical applications of SimpleCV and how you can use it to make technology see. Whether you are a beginner looking to get started with computer vision or a seasoned developer looking for a more efficient way to build vision applications, SimpleCV is the simple solution you’ve been looking for.

    Stay tuned for our upcoming post on Practical Computer Vision with SimpleCV and learn how you can harness the power of computer vision to transform your projects and processes.
    #Practical #Computer #Vision #SimpleCV #Simple #Technology

  • Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision

    Explainable AI and User Experience. Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision


    Price: $87.90
    (as of Dec 25,2024 01:03:28 UTC – Details)




    Publisher ‏ : ‎ Grin Verlag (May 7, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 156 pages
    ISBN-10 ‏ : ‎ 3346874192
    ISBN-13 ‏ : ‎ 978-3346874191
    Item Weight ‏ : ‎ 7.5 ounces
    Dimensions ‏ : ‎ 5.83 x 0.36 x 8.27 inches


    Explainable AI and User Experience: Prototyping and Evaluating an UX-Optimized XAI Interface in Computer Vision

    In recent years, there has been a growing interest in developing Explainable AI (XAI) systems that can provide users with insights into how AI algorithms make decisions. This is particularly important in applications like computer vision, where AI systems are used to analyze and interpret visual data.

    One key challenge in designing XAI systems is ensuring that they are user-friendly and intuitive. Users need to be able to easily understand and interact with the explanations provided by the AI system. This is where User Experience (UX) design comes into play.

    In this post, we will explore the process of prototyping and evaluating an UX-optimized XAI interface in the context of computer vision. By focusing on the user’s needs and preferences, we can create a more effective and engaging XAI system.

    The first step in designing an UX-optimized XAI interface is to understand the needs and preferences of the target users. This can be done through user research, such as interviews, surveys, and usability testing. By gathering insights from users, we can identify their expectations and pain points when interacting with XAI systems.

    Next, we can start prototyping the XAI interface, using tools like wireframes and mockups to visualize the layout and functionality of the system. During this stage, it is important to consider the clarity and simplicity of the explanations provided by the AI system. The interface should be designed in a way that helps users easily understand and trust the decisions made by the AI algorithms.

    Once the prototype is ready, we can move on to evaluating the UX of the XAI interface. This can be done through usability testing, where users are asked to perform tasks with the system and provide feedback on their experience. By observing how users interact with the interface, we can identify any usability issues and make improvements to enhance the overall user experience.

    By following this iterative process of prototyping and evaluating, we can create an UX-optimized XAI interface that effectively communicates the decisions made by AI algorithms in computer vision applications. This not only helps users better understand and trust the AI system, but also enhances their overall experience with the technology.
    #Explainable #User #Experience #Prototyping #Evaluating #UXOptimized #XAI #Interface #Computer #Vision