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Tag: Vision

  • Rekor Edge Pro 1080p Security Camera with Edge AI-Based License Plate Recognition (LPR/ANPR), Vehicle Model/Make/Color, 850nm IR Night Vision, IP67, PoE, Greater Than 98% License Plate Recognition

    Rekor Edge Pro 1080p Security Camera with Edge AI-Based License Plate Recognition (LPR/ANPR), Vehicle Model/Make/Color, 850nm IR Night Vision, IP67, PoE, Greater Than 98% License Plate Recognition


    Price: $999.99
    (as of Dec 24,2024 06:40:22 UTC – Details)


    Discover unparalleled performance with the Rekor Edge Pro’s industry-leading on-device AI, delivering highly accurate license plate and vehicle recognition. The Rekor Edge Pro offers law enforcement quality expectations and military-grade encryption. With a powerful range that captures a distance of 75 ft and a speed of 70 mph*, you can trust it to precisely capture crucial details. *Actual performance will vary based on proper calibration and site selection.
    Designed to operate seamlessly in nearly all conditions, it’s your ultimate surveillance solution. Built to withstand outdoor elements, it boasts an IP67 & NEMA4 rating, guaranteeing durability. Upgrade your surveillance setup with our state-of-the-art Surveillance Camera today. 3rd-party providers have tested the Edge Pro, and it continues to rank #1 thanks to its best-in-class AI software.


    Introducing the Rekor Edge Pro 1080p Security Camera with Edge AI-Based License Plate Recognition (LPR/ANPR)!

    Are you looking for a top-of-the-line security camera that can accurately and efficiently recognize license plates, vehicle make/model/color, and even provide 850nm IR night vision? Look no further than the Rekor Edge Pro!

    With a greater than 98% license plate recognition rate, this camera is perfect for businesses, parking lots, gated communities, and more. The edge AI technology ensures that all processing is done directly on the camera, reducing latency and improving overall performance.

    Not only does the Rekor Edge Pro provide exceptional license plate recognition, but it also boasts IP67 weatherproof rating, Power over Ethernet (PoE) for easy installation, and advanced features like vehicle make/model/color recognition.

    Don’t compromise on your security needs. Invest in the Rekor Edge Pro and experience the next level of surveillance technology.
    #Rekor #Edge #Pro #1080p #Security #Camera #Edge #AIBased #License #Plate #Recognition #LPRANPR #Vehicle #ModelMakeColor #850nm #Night #Vision #IP67 #PoE #Greater #License #Plate #Recognition

  • for Raspberry Pi 4 Camera Day & Night Vision Camera Adjustable-Focus Module 5MP OV5647 Sensor Webcam Video 1080p with 2 Infrared IR LED Light HD Webcam for Raspberry pi 3 B+/3B/2B/4B

    for Raspberry Pi 4 Camera Day & Night Vision Camera Adjustable-Focus Module 5MP OV5647 Sensor Webcam Video 1080p with 2 Infrared IR LED Light HD Webcam for Raspberry pi 3 B+/3B/2B/4B


    Price: $13.99
    (as of Dec 24,2024 06:40:07 UTC – Details)



    Description:
    This product is for RPi Camera Module, Supports Night Vision,This camera can Adjustable-Focus. Supports all revisions for RPi 5 megapixel OV5647 sensor.

    Features:
    for RPi Night Vision Camera, supports all revisions for RPi 5 megapixel OV5647 sensor.

    Specifications:
    COMS size : 1/4 inch
    Aperture (F) : 1.8
    Focal Length : 3.6MM (adjustable)
    Diagonal : 75.7 degree
    Sensor best resolution : 1080p
    4 screw holes
    Used for attachment
    Provides 3.3V power output
    Supports connecting infrared LED and/or fill flash LED
    Dimension : 25mm * 24mm

    Package Including
    1 x Camera
    2 x Fill light
    1 x 15-pin FFC
    All-day Image: it’s built-in ir-cut camera, automatically switches day and night mode for better and clearer image. This can avoid image color cast, which is easier for beginners to use,Adjustable is for focus.
    Widely Used: Supports connecting infrared LED and/or fill flash LED. This Camera Night Vision Camera also support to for RPi 4 3B/3B/RPi 2B B+.
    5 Megapixel: For RPi camera module uses the dedicated CSI interface, via the CSI bus, A higher bandwidth Link which carries 5 megapixels data from the camera back to the processor.
    1080P HD Webcam: The IR video Camera is support of 2592 x 1944 pixel static images, and supports 1080 P @ 30 FPS, 720 P @ 60 FPS and support octoprint 640 x480 P 60/90 video Recording, with 5MP Ov5647 1080P webcam sensor.
    Attention: Normal problems: 1.The computer doesn’t recognize the camera; The LED lights doesn’t work (including one on and one off); The camera doesn’t work after a period of use. Solution: Tighten the bolts of the LED and camera, then restart it. 2.The LED lights always turn on no matter if the camera is turned on or not. Solution: Connect the power supply to GPIO, then the LED light will be on only when the camera is turned on.


    “Introducing the Raspberry Pi 4 Camera: Day & Night Vision Module with Adjustable Focus and Infrared LED Light for Crystal Clear Video Recording!”
    #Raspberry #Camera #Day #Night #Vision #Camera #AdjustableFocus #Module #5MP #OV5647 #Sensor #Webcam #Video #1080p #Infrared #LED #Light #Webcam #Raspberry #B3B2B4B,with 5mp webcam

  • Computer Vision: Principles, Algorithms, Applications, Learning

    Computer Vision: Principles, Algorithms, Applications, Learning


    Price: $110.00 – $99.07
    (as of Dec 24,2024 06:10:03 UTC – Details)



    Computer vision is a rapidly growing field that combines computer science, artificial intelligence, and image processing to enable machines to interpret and understand visual information from the world around them. In this post, we will explore the principles, algorithms, applications, and learning methods that are key to the development of computer vision technology.

    Principles of Computer Vision:
    Computer vision is based on the idea of teaching machines to see and understand the visual world in a similar way to humans. This involves the use of algorithms that can process and analyze visual data, such as images and videos, to extract meaningful information. Key principles of computer vision include image processing, object detection, image recognition, and image segmentation.

    Algorithms in Computer Vision:
    There are a variety of algorithms that are commonly used in computer vision, including convolutional neural networks (CNNs), deep learning, and machine learning. These algorithms are designed to process and analyze visual data to perform tasks such as object detection, image classification, and image segmentation. By using these algorithms, machines can learn to recognize and interpret visual information with a high level of accuracy and efficiency.

    Applications of Computer Vision:
    Computer vision has a wide range of applications across different industries, including healthcare, automotive, security, and entertainment. Some common applications of computer vision technology include facial recognition, autonomous vehicles, medical imaging, and augmented reality. By leveraging the power of computer vision, businesses can improve efficiency, enhance safety, and create new and innovative products and services.

    Learning Computer Vision:
    To become proficient in computer vision, it is essential to have a strong background in mathematics, programming, and machine learning. There are many resources available for learning computer vision, including online courses, books, and tutorials. By gaining a solid understanding of the principles, algorithms, and applications of computer vision, individuals can develop the skills needed to work in this exciting and rapidly evolving field.

    In conclusion, computer vision is a fascinating and rapidly growing field that has the potential to revolutionize the way we interact with technology. By understanding the principles, algorithms, applications, and learning methods of computer vision, individuals can unlock new opportunities and make significant contributions to this exciting field.
    #Computer #Vision #Principles #Algorithms #Applications #Learning

  • USB Camera 5Megapixels Autofocus USB Webcam 1944P 60 Degree No Distortion Lens Lightbrun PC Camera Module Plug and Play for Computer Jetson Nano Laptop Raspberry Pi Machine Vision Industrial

    USB Camera 5Megapixels Autofocus USB Webcam 1944P 60 Degree No Distortion Lens Lightbrun PC Camera Module Plug and Play for Computer Jetson Nano Laptop Raspberry Pi Machine Vision Industrial


    Price: $50.99
    (as of Dec 24,2024 06:04:37 UTC – Details)


    From the brand

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    IFWATER USB Camera

    IFWATER usb camera module

    IFWATER usb camera module

    IFWATER brand started in 2018, IFWATER is a professional manufacturer of surveillance system.

    IFWATER with its own unique R&D team as the basic, oriented by dedicated sales team,

    IFWATER already developed into a prefessional video products company integrate with developing, production, sales and also service all together.

    We are looking forward your choice, we fought together,open up a new future of video surveillance industry.

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    5Megapixels USB Camera: IFWEATER 5 megapixels usb camera module with 1/4″ CMOS OV5640 image sensor, high definition is 2592×1944 usb camera, 1944 Mjpeg 30FPS usb camera is able to ensure your videos are always sharp and crystal clear.
    Autofocus 60 Degree Lens: This usb camera module with 60 degree autofocus lens, that offers an exceptional user experience with its powerful autofocus feature, which ensures sharp, clear images every time.
    Super Mini Size: 38x38mm / 32x32mm small outline and thin profile for embedded applications, compact lightburn laser camera for all kinds of machine vision, video conference, teaching system, such as indoor surveillance and monitoring.
    USB2.0 Free Driver Plug and Play: 1944P usb camera is very easy to use. Just plug and play. No additional driver required. This usb camera fits for multi operations with Windows XP/ Vista /Win7/Win8, Linux with UVC (above linux -2.6.26) , MAC-OSX 10.4.8 or later, Android 4.0 or above with UVC.
    Wide Applications: 1944P usb camera module suitable for multi-angles placement needs for pc computer,laptop, desktop, desk and even other flat surfaces. Great for industrial embedded project, online class, live streaming. Wide compatible with Windows, Linux, Mac and Android systems.


    Introducing our latest USB Camera – a high-quality 5 Megapixels Autofocus USB Webcam with a 1944P resolution and a 60-degree no distortion lens. This Lightbrun PC Camera Module is perfect for use with computers, Jetson Nano, laptops, Raspberry Pi, and machine vision industrial applications.

    With its plug and play functionality, setting up this USB Camera is quick and easy. The Autofocus feature ensures sharp and clear images, while the 60-degree lens provides a wide field of view without any distortion.

    Whether you’re using it for video conferencing, live streaming, or industrial machine vision applications, this USB Camera delivers exceptional performance and reliability. Upgrade your imaging capabilities with our USB Camera today!
    #USB #Camera #5Megapixels #Autofocus #USB #Webcam #1944P #Degree #Distortion #Lens #Lightbrun #Camera #Module #Plug #Play #Computer #Jetson #Nano #Laptop #Raspberry #Machine #Vision #Industrial,with 5mp webcam

  • Computer Vision: A Modern Approach (2nd Edition)

    Computer Vision: A Modern Approach (2nd Edition)


    Price: $33.72
    (as of Dec 24,2024 05:24:34 UTC – Details)




    Publisher ‏ : ‎ Pearson India; 2nd edition (January 1, 2011)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 792 pages
    ISBN-10 ‏ : ‎ 9332550115
    ISBN-13 ‏ : ‎ 978-9332550117
    Reading age ‏ : ‎ 15 years and up
    Item Weight ‏ : ‎ 2.06 pounds
    Dimensions ‏ : ‎ 7.99 x 10 x 1.85 inches


    Computer Vision: A Modern Approach (2nd Edition)

    In this post, we will explore the second edition of the highly acclaimed book “Computer Vision: A Modern Approach” by David Forsyth and Jean Ponce. This comprehensive guide covers the fundamental concepts and techniques in computer vision, providing a solid foundation for understanding and implementing advanced computer vision applications.

    The second edition of this book has been updated to reflect the latest advancements in computer vision research and technology. It covers a wide range of topics, including image formation, feature detection, image segmentation, object recognition, and image retrieval. The book also explores advanced topics such as 3D vision, motion analysis, and deep learning for computer vision.

    Whether you are a student, researcher, or practitioner in the field of computer vision, this book is an essential resource for gaining a deep understanding of the underlying principles and algorithms. With its clear explanations, practical examples, and insightful discussions, “Computer Vision: A Modern Approach” will help you master the complexities of computer vision and apply them to real-world problems.

    Overall, the second edition of “Computer Vision: A Modern Approach” is a must-have reference for anyone interested in exploring the fascinating world of computer vision. Get your hands on a copy today and embark on a journey to unlock the full potential of this dynamic and rapidly evolving field.
    #Computer #Vision #Modern #Approach #2nd #Edition

  • A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures

    A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures



    A Guide to Convolutional Neural Networks for Computer Vision (Synthesis Lectures

    Price : 39.44

    Ends on : N/A

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    Convolutional Neural Networks (CNNs) have revolutionized the field of computer vision, enabling machines to recognize patterns and objects in images with impressive accuracy. In this guide, we will provide a comprehensive overview of CNNs for computer vision, explaining their architecture, training process, and applications.

    1. Introduction to CNNs:
    – CNNs are a type of deep neural network designed specifically for processing visual data, such as images and videos.
    – They are composed of multiple layers, including convolutional layers, pooling layers, and fully connected layers.
    – Convolutional layers apply filters to the input image, extracting features like edges, textures, and shapes.
    – Pooling layers reduce the spatial dimensions of the feature maps, helping to make the network more computationally efficient.

    2. Training CNNs:
    – CNNs are typically trained using a technique called backpropagation, where the network learns to adjust its parameters based on the error between the predicted and actual outputs.
    – Training data is fed into the network, and the weights of each layer are updated iteratively to minimize the loss function.
    – Common optimization algorithms used for training CNNs include Stochastic Gradient Descent (SGD), Adam, and RMSprop.

    3. Applications of CNNs in Computer Vision:
    – CNNs have been successfully applied to a wide range of computer vision tasks, including image classification, object detection, and image segmentation.
    – Image classification involves assigning a label to an input image based on its contents, such as identifying whether it contains a cat or a dog.
    – Object detection aims to locate and classify objects within an image, enabling tasks like autonomous driving and surveillance.
    – Image segmentation involves partitioning an image into different regions or objects, allowing for more detailed analysis and understanding.

    In conclusion, CNNs have become a powerful tool for computer vision, enabling machines to perceive and interpret visual data with human-like accuracy. By understanding the architecture, training process, and applications of CNNs, you can leverage this technology to develop innovative solutions in various domains.
    #Guide #Convolutional #Neural #Networks #Computer #Vision #Synthesis #Lectures

  • Deep Learning: Computer Vision, Python Machine Learning And Neural Networks b…

    Deep Learning: Computer Vision, Python Machine Learning And Neural Networks b…



    Deep Learning: Computer Vision, Python Machine Learning And Neural Networks b…

    Price : 38.61

    Ends on : N/A

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    Deep Learning: Computer Vision, Python Machine Learning And Neural Networks

    In the world of artificial intelligence and machine learning, deep learning has emerged as a powerful tool for solving complex problems. One of the most exciting applications of deep learning is computer vision, which involves teaching computers to understand and interpret visual information.

    Python has quickly become the language of choice for many machine learning practitioners, thanks to its simplicity and versatility. With libraries like TensorFlow, Keras, and PyTorch, developers can easily build and train deep learning models for computer vision tasks.

    Neural networks are the backbone of deep learning algorithms, mimicking the structure and function of the human brain to process information and make decisions. By using neural networks, researchers and developers can create sophisticated computer vision systems that can recognize objects, detect patterns, and even understand natural language.

    In this post, we will explore the intersection of deep learning, computer vision, Python machine learning, and neural networks. We will discuss the latest advancements in the field, showcase some real-world applications, and provide resources for those interested in diving deeper into this exciting area of research.

    Stay tuned for more updates on how deep learning is revolutionizing the way computers see and understand the world around them. Let’s harness the power of Python machine learning and neural networks to unlock the full potential of computer vision technology.
    #Deep #Learning #Computer #Vision #Python #Machine #Learning #Neural #Networks #b.., deep learning

  • Robotics, Vision and Control: Fundamental Algorithms in Python (Springer Tracts in Advanced Robotics, 146)

    Robotics, Vision and Control: Fundamental Algorithms in Python (Springer Tracts in Advanced Robotics, 146)


    Price: $64.99
    (as of Dec 24,2024 04:39:08 UTC – Details)




    Publisher ‏ : ‎ Springer; Third Edition 2023 (August 8, 2023)
    Language ‏ : ‎ English
    Paperback ‏ : ‎ 850 pages
    ISBN-10 ‏ : ‎ 3031064682
    ISBN-13 ‏ : ‎ 978-3031064685
    Item Weight ‏ : ‎ 4.5 pounds
    Dimensions ‏ : ‎ 8.43 x 1.5 x 11.26 inches


    Are you interested in diving into the world of robotics, vision, and control? Look no further than “Robotics, Vision and Control: Fundamental Algorithms in Python” from the Springer Tracts in Advanced Robotics series.

    This comprehensive book covers essential algorithms in Python for robotics, vision, and control, making it an invaluable resource for both students and professionals in the field. With clear explanations and practical examples, you’ll learn how to implement key algorithms for tasks such as robot manipulation, visual perception, and motion planning.

    Whether you’re new to the field or looking to expand your knowledge, this book will guide you through the fundamental concepts and techniques needed to succeed in robotics, vision, and control. Don’t miss out on this essential resource – order your copy today!
    #Robotics #Vision #Control #Fundamental #Algorithms #Python #Springer #Tracts #Advanced #Robotics

  • Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Pr – VERY GOOD

    Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Pr – VERY GOOD



    Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Pr – VERY GOOD

    Price : 9.87

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    Computer and Machine Vision, Fourth Edition: Theory, Algorithms, Programming – VERY GOOD

    If you’re looking for a comprehensive and up-to-date resource on computer and machine vision, look no further than the fourth edition of this highly acclaimed book. Packed with theoretical insights, practical algorithms, and hands-on programming exercises, this book is a must-have for anyone interested in the field.

    From image formation and processing to feature extraction and object recognition, this book covers all the essential topics in computer and machine vision. The authors provide clear explanations of complex concepts, making it easy for readers to understand and apply them in real-world scenarios.

    One of the standout features of this book is its focus on programming. With numerous code examples and exercises, readers can enhance their understanding of the algorithms and techniques discussed in the book. Whether you’re a novice or an experienced practitioner, you’ll find plenty of valuable insights and practical tips in this comprehensive guide.

    Overall, Computer and Machine Vision, Fourth Edition is a well-written and informative resource that will help you master the fundamentals of computer vision and machine learning. Whether you’re a student, researcher, or industry professional, this book is sure to become a valuable addition to your library.
    #Computer #Machine #Vision #Fourth #Edition #Theory #Algorithms #GOOD

  • VTech RM2701 2.8″ Accessory Baby Monitor Viewer (Requires RM9751 WiFi Camera to operate) Remote Monitoring, Night Light, Soothing Sounds & Lullabies, Two-way Intercom, Temperature Sensor, Night Vision

    VTech RM2701 2.8″ Accessory Baby Monitor Viewer (Requires RM9751 WiFi Camera to operate) Remote Monitoring, Night Light, Soothing Sounds & Lullabies, Two-way Intercom, Temperature Sensor, Night Vision


    Price: $35.10
    (as of Dec 24,2024 04:25:47 UTC – Details)




    [Pair with RM9751 to monitor locally and remotely] – Requires the RM9751 camera to operate and access camera feed locally on the RM2701 2.8″ monitor or remotely via smartphone / tablet app. You can listen and view on multiple devices, even outside the home. Note: This device will not work without registering to the RM9751 camera.
    [2.8-inch color LCD screen] – Clearly see every little move right from the 2.8″ parent unit. When you check in on your baby, you’ll feel like you’ve never left the room.
    [Control – Soothing sounds & Night light] – Night light from the daisy petals of RM9751 Camera will gently illuminates a dark nursery. Calm your baby easily with 5 soothing sounds and 5 lullabies.
    [Up to 8 Hours of Video streaming] – With 2,600mAh rechargeable battery keep a watch up to 8 hours of video streaming on single charge cycle.
    [Automatic infrared night vision with 8X zoom] – The camera automatically detects dim light, so you can see your baby’s stretches and yawns even in dark rooms. With digital zoom of up to 8X get closer to your baby when required.
    [Temperature Sensor] – Keep your little one cozy. The temperature indicator on the parent unit lets you know when it’s time to adjust the thermostat.
    [Two-way, talk-back intercom] – Sometimes all your baby needs is to hear the sound of your voice. Comfort your infant from any room with the built-in intercom on the RM9751 camera and RM2701 monitor.

    Customers say

    Customers have connectivity issues with the product. They mention it doesn’t connect to cameras and monitors. Opinions differ on its functionality.

    AI-generated from the text of customer reviews


    Introducing the VTech RM2701 2.8″ Accessory Baby Monitor Viewer! This innovative baby monitor accessory is designed to work with the RM9751 WiFi Camera to provide remote monitoring capabilities for parents.

    With a 2.8″ color LCD screen, you can easily keep an eye on your little one from anywhere in the house. The monitor also features a night light, soothing sounds, and lullabies to help your baby drift off to sleep peacefully.

    The two-way intercom allows you to talk to your baby or soothe them with your voice, even when you’re not in the room. The temperature sensor ensures that your baby’s room is always at a comfortable temperature, and the night vision feature allows you to see your baby clearly in low-light conditions.

    Stay connected and keep your baby safe and sound with the VTech RM2701 2.8″ Accessory Baby Monitor Viewer.
    #VTech #RM2701 #Accessory #Baby #Monitor #Viewer #Requires #RM9751 #WiFi #Camera #operate #Remote #Monitoring #Night #Light #Soothing #Sounds #Lullabies #Twoway #Intercom #Temperature #Sensor #Night #Vision, Remote Monitoring