Computer vision on mobile devices

  • How is a mobile device a computer?

    A mobile device is a general term for any type of handheld computer.
    These devices are designed to be extremely portable, and they can often fit in your hand.
    Some mobile devices—like tablets, e-readers, and smartphones—are powerful enough to do many of the same things you can do with a desktop or laptop computer..

  • How is computer vision used in our smart phones?

    A subset of artificial intelligence and machine learning, computer vision understands, recognizes, and analyzes all types of visual data.
    For example, your smartphone doesn't know it's you but stores your facial data and patterns that are distinct from others..

  • What apps use computer vision?

    The 100 Most Popular Computer Vision Applications in 2023

    Cancer Detection.COVID-19 diagnosis.Cell Classification.Movement Analysis.Mask Detection.Tumor Detection.Disease Progression Score.Healthcare and rehabilitation..

  • What is computer vision in ML?

    Computer vision applications use artificial intelligence and machine learning (AI/ML) to process this data accurately for object identification and facial recognition, as well as classification, recommendation, monitoring, and detection..

  • What is the vision of mobile computing?

    Mobile computing holds the vision for adaptation in an environment of low processing power and sparse network connectivity.
    Using mobile computing solely is not suitable for many modern IoT use cases due to the evolving requirements of connected devices..

  • A mobile device is essentially a handheld computer.
    Although the category of mobile device might seem to include any electronic device small enough to be carried around, the term implies wireless communications and the capacity for general computing.
Nov 10, 2020Mobile computer vision allows mobile devices to understand objects, texts, images, and other visuals. Here are some essential capabilities of 
Computer vision is the field of computing that enables machines to perceive, process, and understand visual information from images or videos. It has many applications, such as face recognition, object detection, augmented reality, medical imaging, and more.

What are the benefits of computer vision in mobile devices?

The incorporation of computer vision-enabling functionalities within mobile devices, like image and pattern recognition, reduces the latency for obtaining model inference results and provides benefits such as:

  • the following:
  • Reduced waiting time for obtaining inference results due to on-device computing.
    • ,

    What is image processing & computer vision on mobile devices?

    Image processing and computer vision on mobile devices have a wide range of applications such as:

  • digital image enhancement and augmented reality.
    • ,

    Why is computer vision becoming more popular?

    Computer vision is also becoming more and more common in the latest news headlines.
    As this technology scales, the demand for specialists with knowledge in computer vision systems will also rise due to trends in cloud computing service, Auto ML pipelines, transformers, mobile-focused DL libraries, and computer vision mobile applications.

    ,

    Why should we focus the survey on mobile devices?

    Focusing the survey on mobile devices will help researchers, who intend to apply image processing and computer vision algorithms to mobile applications, to identify the critical issues and select algorithms that are more effective for the intended usage scenarios.

    NFC stands for Near-field communication.
    Computer vision on mobile devices
    Computer vision on mobile devices

    Type of electronic device

    A smart device is an electronic device, generally connected to other devices or networks via different wireless protocols that can operate to some extent interactively and autonomously.
    Several notable types of smart devices are smartphones, smart speakers, smart cars, smart thermostats, smart doorbells, smart locks, smart refrigerators, phablets and tablets, smartwatches, smart bands, smart keychains, smart glasses, and many others.
    The term can also refer to a device that exhibits some properties of ubiquitous computing, including—although not necessarily—machine learning.

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