#Computer Vision Market

[vmr-research-report]

According to an analysis of the AI vision market by Verified Market Research (Nov 2022), the AI in Computer Vision Market was valued at USD 12 Billion in 2021 and is projected to reach USD 205 Billion by 2030. Accordingly, the computer vision market is rapidly growing at a CAGR of 37.05% from 2023 to 2030.

[corporatenews]

Exploring the Computer Vision Market: Trends, Applications, and Future Outlook

Introduction

The computer vision market is experiencing rapid growth and innovation, driven by advancements in artificial intelligence (AI), machine learning, and image processing technologies. Computer vision enables machines to interpret and analyze visual information from images and videos, revolutionizing industries such as healthcare, automotive, retail, and manufacturing. Understanding the trends, applications, and future outlook of the computer vision market is essential for businesses, researchers, and policymakers seeking to leverage its transformative potential and drive innovation in their respective fields.

Understanding the Computer Vision Landscape

Market Overview and Growth Trajectory

The computer vision market encompasses a diverse range of technologies, software platforms, and applications designed to extract meaningful insights from visual data. Market segments include image recognition, object detection, facial recognition, video analytics, and augmented reality (AR), with applications spanning various industries, including healthcare, automotive, retail, security, and entertainment. With increasing demand for automation, data analytics, and intelligent decision-making, the computer vision market is poised for exponential growth and adoption across sectors worldwide.

Technological Advancements and Innovation

Technological advancements and innovation are driving the evolution of the computer vision market, with breakthroughs in AI, deep learning, and neural networks enabling more accurate, efficient, and scalable solutions for visual perception and interpretation. Advances in hardware, such as graphics processing units (GPUs), field-programmable gate arrays (FPGAs), and edge computing devices, further accelerate the development and deployment of computer vision applications, enabling real-time processing, low-latency inference, and edge intelligence at the point of capture.

Market Dynamics and Competitive Landscape

The computer vision market is characterized by intense competition, rapid innovation cycles, and strategic partnerships among technology companies, research institutions, and startups. Leading players such as Google, Microsoft, Amazon, NVIDIA, and Intel dominate the market with comprehensive AI platforms, cloud services, and software development kits (SDKs) that enable developers and enterprises to build, deploy, and scale computer vision applications across diverse use cases and industries. Startups and niche players also contribute to market innovation, addressing specific verticals, applications, or technological challenges with specialized solutions and domain expertise.

Market Applications and Use Cases

Healthcare and Medical Imaging

Computer vision is revolutionizing healthcare and medical imaging, enabling clinicians to diagnose diseases, analyze medical images, and monitor patient health with greater accuracy, efficiency, and speed. Applications include medical image analysis, pathology detection, surgical navigation, and telemedicine, leveraging AI algorithms to interpret radiological images, detect anomalies, and assist healthcare professionals in decision-making, treatment planning, and patient care delivery.

Autonomous Vehicles and Driver Assistance Systems

Autonomous vehicles and driver assistance systems rely on computer vision technologies to perceive the surrounding environment, detect obstacles, and navigate safely on roads. Computer vision algorithms process data from cameras, LiDAR, and radar sensors to identify objects, pedestrians, traffic signs, and lane markings, enabling autonomous vehicles to make real-time decisions, avoid collisions, and optimize driving behavior in complex traffic scenarios. Driver assistance features such as lane departure warning, adaptive cruise control, and automatic emergency braking also enhance vehicle safety and driver comfort through computer vision-enabled functionalities.

Retail and E-Commerce

In the retail and e-commerce sector, computer vision enhances customer engagement, personalized shopping experiences, and operational efficiency across the entire value chain. Retailers use computer vision for inventory management, shelf analytics, product recognition, and cashierless checkout, leveraging AI-powered solutions to automate retail tasks, optimize merchandising strategies, and deliver seamless omnichannel experiences to consumers. Visual search, virtual try-on, and augmented reality applications further enhance the online shopping experience, enabling customers to visualize products in their environment and make informed purchase decisions.

Future Outlook and Opportunities

Edge Computing and IoT Integration

Edge computing and IoT integration will drive the future of the computer vision market, enabling distributed processing, real-time inference, and low-latency applications at the network edge. Edge devices equipped with computer vision capabilities, such as cameras, drones, and sensors, will analyze visual data locally, extract actionable insights, and trigger automated responses in real-time, reducing latency, bandwidth requirements, and reliance on centralized cloud infrastructure. Applications include smart cities, industrial automation, retail analytics, and surveillance systems that leverage edge computing and IoT connectivity to deliver intelligent, responsive solutions in diverse environments.

Ethical Considerations and Regulatory Frameworks

Ethical considerations and regulatory frameworks will play an increasingly important role in shaping the development and deployment of computer vision technologies, addressing concerns related to privacy, bias, accountability, and algorithmic transparency. Policymakers, industry stakeholders, and advocacy groups will collaborate to establish guidelines, standards, and best practices for responsible AI and ethical AI governance, ensuring that computer vision applications uphold principles of fairness, equity, and human rights while maximizing societal benefits and minimizing risks and unintended consequences.

Cross-Industry Collaboration and Interoperability

Cross-industry collaboration and interoperability will foster innovation and accelerate the adoption of computer vision technologies across sectors, as organizations share data, resources, and expertise to address common challenges and drive collective progress. Open standards, interoperable platforms, and industry consortia will facilitate collaboration among technology providers, domain experts, and end-users, enabling seamless integration of computer vision solutions into existing workflows, systems, and applications across diverse industries and use cases.

Conclusion

In conclusion, the computer vision market presents vast opportunities for innovation, disruption, and value creation across industries, driven by advancements in AI, machine learning, and image processing technologies.

To Get a Snapshot of the Computer Vision Market Report, Download a Free Report Sample

[nextmscblog]

The Evolving Role of AI in the Computer Vision Market

The Computer Vision Market size was valued at USD 12.5 billion in 2023 and is predicted to reach USD 29.3 billion by 2030 with a CAGR of 15.2% from 2024-2030.

Access full report: https://www.nextmsc.com/report/computer-vision-market

[ict-123]

The global computer vision market is experiencing rapid growth worldwide due to several factors, including faster processing, better accuracy, and economic advantage of computer vision systems.

[delightfullyatomiccollector-blog]

The global Al in computer vision market size is projected to reach USD 63.48 billion in 2030 from USD 23.42 billion in 2025; it is expected to grow at a CAGR of 22.1% from 2025 to 2030.

The AI in computer vision market is growing at an incredible pace as industries increasingly rely on advanced technologies to improve efficiency, accuracy, and decision-making. In the healthcare industry, it is revolutionizing diagnostics with enhanced image analysis.

[thoratketan]

Global Computer Vision in Healthcare Market: Analysis Of Market Segmentation And Trends

The global Computer Vision in Healthcare Market is undergoing a seismic transformation, with the market valued at USD 1.4 billion in 2023 and projected to reach a staggering USD 49.0 billion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 47.8% during the forecast period 2024 to 2032.

Get Free Sample Report on Computer Vision in Healthcare Market

This exponential growth reflects the rising integration of computer vision—an advanced form of artificial intelligence (AI) that allows computers to interpret and make decisions from visual data—into nearly every facet of modern healthcare. From diagnostics and surgery to patient monitoring and workflow optimization, computer vision is revolutionizing how healthcare is delivered, improving accuracy, speed, and efficiency at every turn.

Redefining the Future of Healthcare with Visual Intelligence

Computer vision in healthcare uses deep learning algorithms and image processing techniques to interpret visual inputs from medical imaging, real-time video feeds, wearables, and more. This transformative technology supports a wide array of applications, including radiology image analysis, surgical guidance, patient identification, remote monitoring, and predictive analytics.

As the healthcare industry continues to face challenges such as growing patient volumes, clinician shortages, and rising costs, the ability to automate and enhance visual interpretation is proving to be a game-changer.

Key Drivers of Market Growth

Increased Demand for Early and Accurate Diagnosis Computer vision tools are improving the speed and accuracy of diagnostics by analyzing imaging data (CT, MRI, X-rays, ultrasounds) to detect anomalies such as tumors, fractures, or organ deformities. These tools can outperform or augment human specialists in spotting early-stage diseases, thus reducing diagnostic errors and facilitating timely treatment.

Technological Advancements in AI and Deep Learning Breakthroughs in deep learning and neural networks have dramatically improved the ability of machines to analyze complex medical visuals. As algorithms become more accurate and adaptive, computer vision systems are becoming essential tools for radiologists, pathologists, and other medical professionals.

Rising Adoption of Robotic Surgery and Smart Operating Rooms Computer vision plays a crucial role in surgical robotics and augmented reality systems by enabling real-time imaging, anatomical tracking, and navigation. These tools enhance surgeon precision and reduce the risk of complications, particularly in complex or minimally invasive procedures.

Remote Patient Monitoring and Telehealth Expansion With the rise of telemedicine, computer vision is being used to monitor patients remotely through camera-based systems that track movements, facial expressions, and even skin conditions. This allows clinicians to assess patient status in real-time without being physically present.

Growing Investments and Collaborations Tech giants and healthcare innovators are investing heavily in computer vision applications. Strategic partnerships between hospitals, research institutions, and AI startups are accelerating innovation and commercialization across a range of healthcare domains.

Key Segments:

By Component

By Product Type

By Application

By End-user

Key Players and Industry Innovation

The market is rapidly evolving, with a mix of global tech giants, healthcare providers, and AI startups pioneering innovation. These companies are focusing on enhancing real-time image analysis, improving diagnostic accuracy, and integrating solutions seamlessly into healthcare ecosystems.

Major players in the market include:

IBM Watson Health

Microsoft Corporation

Google Health (Alphabet Inc.)

Siemens Healthineers

NVIDIA Corporation

GE Healthcare

Arterys Inc.

Zebra Medical Vision

Vuno Inc.

Enlitic

These companies are continually developing advanced platforms that combine computer vision, big data analytics, and cloud computing to deliver scalable, intelligent solutions for hospitals and clinics around the world.

Challenges and Opportunities

Despite its immense promise, the computer vision in healthcare market faces several challenges:

Data privacy and cybersecurity risks, particularly when dealing with cloud-based patient imaging

Regulatory hurdles that slow AI integration into clinical workflows

Resistance to change among healthcare professionals and institutions unfamiliar with AI tools

However, these challenges are being actively addressed through:

Stronger compliance standards like HIPAA and GDPR

Improved training for healthcare workers

Validation of AI systems through clinical trials and peer-reviewed studies

Exciting opportunities lie ahead in:

Expanding use in mental health, analyzing facial expressions and behaviors

Wearable integrations for chronic disease management

Global health applications, especially in underserved regions where clinician shortages are critical

Conclusion

The Computer Vision in Healthcare Market stands at the forefront of a technological revolution. With the ability to automate, accelerate, and enhance diagnostic and clinical processes, computer vision is not just supplementing healthcare—it’s fundamentally transforming it.

As the market grows from USD 1.4 billion in 2023 to USD 49.0 billion by 2032, at a remarkable CAGR of 47.8%, stakeholders across the healthcare ecosystem—from hospitals and payers to startups and tech companies—are presented with an unprecedented opportunity to redefine patient care, globally.

SNS Insider is one of the leading market research and consulting agencies that dominates the market research industry globally. Our company's aim is to give clients the knowledge they require in order to function in changing circumstances. In order to give you current, accurate market data, consumer insights, and opinions so that you can make decisions with confidence, we employ a variety of techniques, including surveys, video talks, and focus groups around the world.

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[indianahal]

AI, stands for artificial intelligence computer systems,  that conduct tasks that historically required human intelligence to complete.  This includes recognizing human speech, making decisions, identifying patterns,  generating written content, steering a car or truck, and analyzing data.  A lot of people today are wondering if the benefits of AI are worth the resulting human job losses, production efficiencies, cost savings, etc.?  My new program, "Do We Really Want AI To Replace More Human Decision Making?"

[fairsweetlonging]

svsss horror game au where shen yuan is first in line to buy the pidw-inspired rpg where you play as a wandering cultivator with amnesia, and are taken in by the cang qiong sect during the head disciple days of the last peak lord generation.

because pidw knows its audience, a large part of the marketing was focused on the romance and action aspect of the game, with additional lore from deleted novel scenes—how could shen yuan not buy this game? maybe the peak lords will finally be more than props in the background! the romance aspect seems to be at least somewhat tastefully done, if he can trust the leaks, with more emotional depth than fetish fulfillment (shen yuan swears that if there is even one unskippable cutscene of some peak lord's feet he's going to chuck his computer out the window).

shen yuan customizes his character, going all out on the clichés because why not, giving him white hair and peerless beauty and all the characteristics of an A+ wife (beauty is power in pidw), actually excited to play the game. the first part is standard, you wake up in a barn with amnesia, only a sword and some items to your name, and have to do some tutorial quests to get used to the game mechanics. it's simple enough. eventually, you end up in a village that shen yuan is certain is possessed, because all the NPC's act very unnatural and strange, and it's pretty unsettling. here, the player is supposed to meet the cang qiong head disciples on their own quest, who naturally think the player is the most interesting person they've ever seen, a super special cultivator, and will take him in because the player is the most coveted character in the universe (apart from luo binghe, that is).

of course, before shen yuan can get very far, he ends up being transmigrated into the game as his own character. it could be way worse: he's a cultivator, peerlessly beautiful, destined to be picked up by the most prestigious sect, and has his own protagonist halo of sorts. he's honestly pretty excited about this

until he finds out that the marketing heavily downplayed the horror elements of the game.

shen yuan is calmly eating a meal in an inn of the village, waiting for the next quest point to start, when suddenly,

[ system notification ]

"you are being observed"

observation level: ???

entity classification: unknown

engagement protocol: do not acknowledge

right after, the windows go dark, not closed or shuttered, dark, as if something large has just leaned against the side of the building. no one else acknowledges this.

shen yuan shakes it off. it's just a game, it's... ambiance, that's all. build up.

he walks through the streets of the town, using his low-level talismans to try and find traces of the entity he's supposed to defeat or uncover to complete the quest. he pauses beside a broken cart, one of its wheels is half-sunk in the mud. the system pings again.

[ system notification ]

"it's behind you."

note: do not turn around.

(option to suppress message: [ ] not recommended)

the street is utterly silent. a prickle begins at the base of his skull. something is there. some deep animalistic part of him is already screaming not to look.

it disappears. he earns 5 survival points. he hopes he won't have to earn any more.

later that night, shen yuan looks for shelter, finding an old shrine visible from the road, just at the side of town. he steps inside and sees old incense sticks, some forgotten offerings. it's simple, but dry. it will do.

he crosses the threshold—

[ mission triggered ]

mission objective: hide

time limit: unknown

condition to complete: remain unnoticed

footsteps crunch in the leaves outside. every nerve in him goes rigid—not human.

too heavy. uneven. it's coming.

shen yuan ducks behind the offering table, body pressed flat against the ground. he slows his breathing, barely daring to blink. a screen in his peripheral vision blinks to life.

[ environmental mechanic activated ]

microphone mode: ON

sound detection level: HIGH

a semi-transparent sound meter appears. with every shaky breath, the bar pulses red. shen yuan clamps his hands over his mouth.

something passes, just beyond the shrine's opening. large. the system does not count down. there is no timer. the floor boards moan faintly beneath a ponderous weight, something drags across the ground.

shen yuan forces his body still, trembling so hard it hurts his teeth.

it leaves. the system congratulates him for surviving. it doesn't tell him what he just survived.

it's a relief when the head disciples of cang qiong show up, and the story delves into romantic cliches and relationship prompts. he gets to see liu qingge shirtless. shen qingqiu is typical tsundere. yue qingyuan is the soft gentle type. shang qinghua acts... off. he isn't what shen yuan thought he would be, less cunningly charming, more, well. nervous. of all the head disciples, he's the only one who actually seems like he doesn't want shen yuan to be here, always looking around.

like he knows shen yuan didn't come alone.

more instances like this occur. one moment, he's farming reputation points and relationship points with the other characters, doing quests and gathering memory fragments that will help unlock the player's backstory, the next, the system seems determined to make the game hell.

it always comes out of nowhere

[ system update ]

"warning: your heartbeat has been logged by another entity."

would you like to mute heartbeat tracking?

[ ] yes

[ ] no

[ ] it's too late.

he can never figure out what's following him, what that creature from the village is, but it's always there. no one else seems to notice, not a single talisman or ward can stop or detect it.

it comes even when he's in bed, still faintly blushing from a wife-plot equivalent where he fell from a ladder and was caught in wei qingwei's arms. he got to pet the pangolins too!

he's just about to fall asleep when the system pings:

[ mission objective: survive until dawn ]

hint: do not scream

somewhere beneath the floorboards under his bed, something begins scraping. like claws trying to memorize the layout of the house from below. shen yuan doesn't dare move. sleep never comes that night.

*

he can farm intelligence points by attending classes, and being the monster and plant nerd he is, qian cao peak is his first choice (it's either that, being beat up by bai zhan disciples that aren't even liu qingge, or running into shen qingqiu).

in the middle of a lesson on demonic poisons, the system pings quietly

[ system message ]

"one of the bodies in the infirmary is not a body"

objective: don't lose sight of it

shen yuan turns his head, slowly, to the curtained recovery beds along the wall. the curtain on the last one is slightly open.

it wasn't before.

mu qingfang continues speaking. shen yuan doesn't dare to look away.

*

one day, the thing starts to catch up

[ mission failure ]

"the sound you made has been registered"

estimated proximity: 00:00:17

do you want to run?

[ ] yes (not recommended)

[ ] no (not recommended)

*

[ emergency notice ]

"you were seen"

objective: hide

time limit: expired

success rate: 2%.

do you want to proceed?

[ ] yes

[ ] yes

*

[ achievement unlocked: it found you anyway ]

*

anyway, can you tell i had fun with the horror prompts? ^_^

i just have sooooo many ideas for the player's backstory, where it seems the character is just a blank slate for the player to project themselves onto, but there is so much more to them than you think. im also having loads of fun with the creature that follows the player around, i love making it as disturbing as possible.

mild spoiler: the creature is real and connected to the player. other characters can't detect or interact with it, but it's slowly growing stronger. shang qinghua is, of course, airplane, and as he was directly involved with the production of this game, he knew that as soon as an OC showed up, that thing wouldn't be far behind.

also, i love the idea of shang qinghua being stuck in a dating simulator as one of the options to romance. now shang qinghua has to play along with his own cringy cliche meetcutes, like showing the player around, flirting with the player, and generally playing the role of suave administrator with a dark secret (he's terrible at it). he had to do the "there's an eyelash on your cheek allow me" move on the player (shen yuan), and almost cringed out of his own skin. though, shang qinghua is the only one who can properly emphasize with the player, because he actually knows what horrid creature is stuck to him and what kind of horror scenarios the player has to go through (accidental cumplane? it's more likely than you think).

it's a bit of a mindfuck too, because shang qinghua can't tell whether the player is also a transmigrator, a puppet controlled by someone from another dimension, or a fleshed out OC of the system. he's also not allowed to ask, so it remains ambiguous. until, of course, they find out they're transmigrators and shen yuan has to deal with the fact he almost romanced airplane.

shen yuan makes a joke about defeating the creature with the power of love. shang qinghua says he wished it was that easy.

[txttletale]

hey what’s up, i think you’re pretty cool but disagree with you on the whole ai can make art thing. to me, without the purpose from an actual person creating the piece, it’s not art but an image; as all human art has purpose. some driving factor in a work, compared to a program which purely creates the prompt without further intention. i was wondering what your insight on this is? either way, hope you have a great day

well, first of all, does art require 'purpose'? there's this view of art which has very much calcified in "anti-AI" rhetoric, that art is some linear process of communication from one individual to another: an Artist puts some Meaning into a unit of Art, which others can then view to Recieve that Meaning. you can hold this view, but i don't! i'm much more of a stuart hall-head on this, i think that there is no such transfusion of Intent and that rather the 'meaning' of a piece is something that exists only in the interplay between text and reader. reading is an active, interpretative process of decoding, not a passive absorptive one. so i dispute, firstly, that 'purpose' is to begin with a necessary or even imporant element of art.

moreover i think this argument rests on a very arbitrarily selective view of what counts as "an actual person creating the piece" -- 'the prompt' is, itself, an obvious artistic contribution, a place where an artist can impart huge amounts of direction, vision, and so on. in fact, i completely reject the claim of both the technology's salesman and its biggest detractors that genAI "makes art" -- to quote kerry mitchell's fractal art manifesto: "Turn a computer on and leave it alone for an hour. When you come back, no art will have been generated." in the past, i've posed questions about generative art pieces to demonstrate this

secondly, of course, the process does not end after image generation from prompt for serious generative artists--the ones who are serious about the artform (rather than tech guys trying to do marketing for the Magical Art Box) frequently iterate and iterate, generating a range of iterations and then picking one to iterate on further, so on and so forth, until the final image they choose to share is one that contains within it the traces of a thousand discrete choices on behalf of the artist (two pretty good explanations of this from people who actually do this stuff can be found here and here)

third and finally, that very choice to share the image is itself an artistic decision! we (and by we, i mean, anyone who cares about what art is) have been talking about this since fountain -- display is a form of artistic intent, taking something and putting it forward and saying 'this is art' is in and of itself an artistic decision being made even if the thing itself is unaltered: see, for example, the entire discipline of 'found art'. once someone challenged me, yknow, "if you did a google search, would that be art?" and my answer to that is, if you screenshot that google search and share it as art, then yes, resoundingly yes! curation and presentation recontextualizes objects, turning them into rich texts through the simple process of reframing them. so even if you granted that genAI output is inherently random computer noise (i don't, of course) -- i still think that the act of presenting it as art makes it so.

since i assume you're not familiar with anything interesting in the medium, because the most popular stuff made with genAI is pure "lo-fi girl in ghibli style" type slop, let me share some genAI pieces (or genAI-influenced pieces) that i think are powerful and interesting:

the meat gala, rob sheridan (warning: body horror!)

secret horses (does anyone know the original source on this?)

infinite art machine, reachartwork

ethinically ambigaus, james tamagotchi

mcdonalds simpsons porn room, wayneradiotv

software greatman, everything everything (the music is completely made by the band, but genAI was partially responsible for the lyrics -- including the title and the several interesting pseudo-kennings)

i want a love like this music video, everything everything

cocaine is the motor of the modern world, bots of new york

poison the walker, roborosewatermasters (here's my analysis posts on it too)

not all of these were necessarily intended as art: but i think they are rich and fascinating texts when read that way -- they have certainly impacted me as much as any art has.

anyways, whether you agree or not, i hope this gives you some stuff to think about, thanks for sharing your thoughts :)

[neetihtfmi]

  AI in Computer Vision Market Growth Holds Strong

Computer Vision, a subset of artificial intelligence, focuses on enabling machines to interpret visual information from the world around them, just like human vision. AI-powered Computer Vision has numerous applications across various industries, including healthcare, automotive, retail, security, entertainment, and more.

[nerdygirlramblings]

more spitfire soldier

tw: canon-typical violence

"I got yer six," you shout, "go go go!"

Ghost barrels through the next door. You hear the rat-a-tat-tat of his SA80 and sweep the room behind him, clearing any hostiles he might have missed or those who come running at the sound of his gun.

You count three bodies on the floor when you hear footsteps coming from your right. You turn and fire as two more combatants dressed in black turn the corner. Both go down quickly, but the second got off a few shots of their own.

You don't think anything of it, too high on adrenaline and too focused on the mission. But you notice your gait slowing as you catch up to Ghost.

He waits at the next door, watching you approach. "Sit rep, Mav?" he asks.

"Fookin' fine, Lt. Wha'd're we waitin' fer?"

"If yer not solid, I'm not gonna put us both as risk," he reminds you. His safety depends on you and vice versa.

"Feel fine, Lt, really." You meet his eyes. "Really."

He nods once and breaks through this last barrier between where you are and where you need to be. The room is filled with drafting tables covered with blueprints and files. You call over comms, "Looks like everything is hard copy, Captain. No computers in sight. How do you want us to proceed?"

You hear Price's muttered curse. Intel said this group had data about black market arms deals, but if it's all hard copy, it's going to be a hell of a lot harder to grab what you came for.

As you wait on Price to make a decision, you watch Ghost round the far side of the room. You can hear commotion from the direction you just came. "C'mon, Cap. It's gunna go tits up in five. We need orders and we need an exfil."

Price tells you to grab anything that looks promising and light the rest up. Six minutes later you and Ghost are heading out a service entrance Gaz found on the complex blueprints. When you hit the ground floor, you head west where transport should be only to find a bare stretch of woods.

"Captain, where the fook is exfil? Ain't no one 'ere!" You turn in a circle looking for a way out and stumble.

Ghost catches you under the arm and peers at your face. "Hey, Mav, you broken?"

You try to answer, but suddenly your tongue feels heavy in your mouth. You blink and notice black at the edges of your vision. You put a hand to your side and it comes away sticky. You look from your bloody hand to Ghost.

He wraps an arm around you, hoisting you against his side. You hear a roaring in your ears, or maybe it's just Ghost as he shouts to Price about your injury. You want to tell him to be quieter, he's going to let the enemy know your location, but you can't make the words come. Your last thought before you slip into unconsciousness is you've never heard that tone from Ghost before. If you could believe it, he sounds almost scared.

first previous

main masterlist

[delightfullyatomiccollector-blog]

AI in Computer Vision Market Growth: The Driving Force Behind Smarter Visual Systems

AI in computer vision refers to the use of artificial intelligence techniques, especially deep learning and machine learning, to enable machines to understand, interpret, and analyze visual information from the world. By utilizing neural networks and advanced algorithms, AI-based computer vision systems can recognize objects, detect patterns, and perform image analysis tasks that traditionally required human cognition.