GLOBAL COMPUTER VISION MOBILE APPS MARKET

INTRODUCTION

Computer vision is an interdisciplinary scientific field that studies how computers can learn to understand digital images or videos at a high level. From the standpoint of engineering, it seeks to comprehend and automate tasks that the human visual system is capable of performing.

Methods for acquiring, processing, analysing, and comprehending digital images, as well as the extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, are examples of computer vision tasks.

Cameras are used to collect visual data, machine learning models are used to process the images, and conditional logic is used to automate application-specific use cases. Edge intelligence, or the deployment of artificial intelligence to edge devices, facilitates the implementation of scalable, efficient, robust, secure, and private computer vision implementations.

By embedding cloud vision capabilities in your apps, you can improve content discoverability, automate text extraction, analyse video in real time, and create products that more people can use.

Label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people's movement in physical spaces using visual data processing. There is no need for machine learning expertise.

GLOBAL COMPUTER VISION MOBILE APPS MARKET SIZE AND FORECAST

The Global Computer Vision Mobile Apps market accounted for $XX Billion in 2022 and is anticipated to reach $XX Billion by 2030, registering a CAGR of XX% from 2023 to 2030.

NEW PRODUCT LAUNCH

Google Lens can scan a plant or animal with your camera and give you its full name in seconds. You can automatically translate words and signs in an unfamiliar language while travelling abroad, scan posters, business cards, and billboards, and transfer long texts directly into your smartphone, among other things.

Aipoly Vision is a less popular app with similar functionality to Google Lens. It was created with the primary goal of assisting anyone who has difficulty seeing or recognising things around them. Anyone who is visually impaired can now use Aipoly Vision to quickly identify what is around them. Artificial intelligence technology uses the camera to automatically identify objects and creatures in the lens and repeat the name aloud.

Quiver is an unusual app that does not use computer vision  just to identify and recognise objects. You can use this app to create your own colouring pages and have them come to life after you finish colouring them.

You can visualise anything that was previously a flat image on your screen using augmented reality technology. You can create your own characters, heroes, objects, and more in Quiver, then release them into the real world.

COMPANY PROFILE

• SenseTime
• MegVii
• viso.ai
• NAUTO
• Verkada

THIS REPORT WILL ANSWER FOLLOWING QUESTIONS

1. How many Computer Vision Mobile Apps  are manufactured per annum globally? Who are the sub-component suppliers in different regions?
2. Cost breakup of a Global Computer Vision Mobile Apps  and key vendor selection criteria
3. Where is the Computer Vision Mobile Apps  manufactured? What is the average margin per unit?
4. Market share of Global Computer Vision Mobile Apps  market manufacturers and their upcoming products
5. Cost advantage for OEMs who manufacture Global Computer Vision Mobile Apps  in-house
6. key predictions for next 5 years in Global Computer Vision Mobile Apps  market
7. Average B-2-B Computer Vision Mobile Apps  market price in all segments
8. Latest trends in Computer Vision Mobile Apps  market, by every market segment
9. The market size (both volume and value) of the Computer Vision Mobile Apps  market in 2023-2030 and every year in between?
10. Production breakup of Computer Vision Mobile Apps  market, by suppliers and their OEM relationship