AI pattern

Computer vision use cases

The most documented computer vision use cases are intelligent document processing, physical security video analytics and visitor and tour guide, across 216 public deployments by 210 organizations. Models that interpret images or video, such as damage photos, identity documents or site inspections.

Use cases
36
Deployments
216
Organizations
210
Outcome disclosed
63%

The 10 most common computer vision use cases

Ranked by the number of organizations with a public deployment, as of 11 November 2026.

  1. 1
    AI document intelligence for unstructured forms and documents

    Intelligent document processing is AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, and splits, classifies and extracts the required fields.

    15 organizations
    75% median cycle time reduction
    7 deployments
  2. 2
    AI video analytics and screening for physical security

    Physical security video analytics is AI that watches camera feeds or walk through sensors at a site and flags a likely weapon, intrusion or theft.

    13 organizations
    at least 90% search time reduction
    one deployment, vendor claim
  3. 3
    AI visitor and tour guide for cities, museums and events

    An AI visitor and tour guide tells visitors of cities, museums, heritage sites and events the stories behind what is around them, and answers their questions in their own language.

    13 organizations
  4. 4
    AI for insurance claims fraud detection

    Claims fraud detection is AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data.

    12 organizations
  5. 5
    AI for photo based damage assessment in insurance claims

    Photo based damage assessment is computer vision that assesses vehicle or property damage from photos or video for an insurance claim.

    12 organizations
    95% accuracy
    one deployment, organization claim
  6. 6
    AI prioritization of radiology and imaging worklists

    AI radiology worklist triage analyzes a medical image right after a scan and flags time sensitive findings, so the most urgent cases are read and acted on first.

    12 organizations
    about 44% cycle time reduction
    one deployment, vendor claim
  7. 7
    AI generated ad creative production and testing

    AI generated ad creative production and testing is generative AI that creates the images, video and copy variants a paid media campaign needs, for marketers.

    10 organizations
    about 83% click through uplift
    one deployment, vendor claim
  8. 8
    AI computer vision for store shelf and stock monitoring

    Store and shelf monitoring is computer vision, on cameras, shelf edge sensors or autonomous robots, that scans store shelves for gaps, misplaced items and wrong prices.

    8 organizations
    7% revenue uplift
    one deployment, vendor claim
  9. 9
    AI for application and identity fraud detection

    Application and identity fraud detection is AI that checks incoming account and loan applications for banks and lenders to catch forgery and fraud rings.

    8 organizations
    2.5x detection improvement
    one deployment, organization claim
  10. 10
    AI for fibre network route and build planning

    Fibre network route and build planning is AI that turns geospatial survey data, existing infrastructure records and historical civil works costs into a proposed fibre route and a cost estimate.

    8 organizations
    about 75% cycle time reduction
    one deployment, organization claim

36 Computer vision use cases

210 organizations in 37 countries run these use cases in public. 63% of those 216 deployments disclose a measurable outcome.

Insurance

AI aerial imagery risk scoring for property insurance underwriting

AI property risk scoring reads aerial imagery to rate roof condition, wildfire exposure and other building features at quote, so underwriters inspect fewer homes. It turns an address into a score and a set of flags that feed the insurer's eligibility, inspection and pricing rules, and the underwriter or the rules engine keeps the decision.

Deployments
4 public, best grade C
Reported accuracy
at least 95%
Florida Peninsula Insurance Company, organization claim
Media and entertainment

AI agent for automated sports highlights and clipping

An AI agent for sports highlights and clipping watches a live sports broadcast and detects key moments such as goals, saves or penalties as they happen. It automatically extracts and reformats a clip and puts it in front of an editor to review and publish, instead of a person watching every feed and clipping moments by hand.

Deployments
5 public, best grade B
Autonomy
Copilot
Telecommunications

AI agent for device and connectivity troubleshooting on voice and chat

An AI troubleshooting agent diagnoses and fixes a customer's broadband, mobile, TV or device problem by conversation on the phone or in chat. It runs line tests and remote resets through the operator's systems, guides the customer step by step, and books an engineer or hands over to a technician when the fault needs a person.

Deployments
6 public, best grade B
Median containment rate
70%
3 deployments
BankingPayments and cards

AI assistant for digital account onboarding and KYC

A digital onboarding assistant is a customer facing AI that guides a new applicant, a person or a small merchant, through opening a digital account, card or relationship. It collects and checks identity and supporting documents, orchestrates the know your customer and anti money laundering checks, prefills what it can and sends only the unclear cases to a human reviewer with a summary. The ownership research for complex corporate clients is a separate back office job.

Deployments
4 public, best grade B
Reported productivity gain
30x
M-DAQ Global, vendor claim
Education

AI assisted proctoring and integrity monitoring for remote exams

Exam and assessment integrity AI supports the integrity of a remote, high stakes exam by verifying a test taker's identity and watching for signs of cheating. It analyzes behavior such as typing patterns, facial matching and session activity for signs of impersonation or unauthorized help, and flags sessions for a trained human reviewer to decide, rather than letting a model issue an automated finding of misconduct on its own.

Deployments
3 public, best grade B
Autonomy
Supervised agent
Retail and ecommerceManufacturing

AI computer vision for store shelf and stock monitoring

Store and shelf monitoring is computer vision, on cameras, shelf edge sensors or autonomous robots, that scans store shelves for gaps, misplaced items and wrong prices. It turns what it sees into a prioritized task list for store staff or field sales representatives, so out of stock and shelf compliance problems are caught within hours instead of at the next manual walk.

Deployments
8 public, best grade B
Reported revenue uplift
7%
GoGo SqueeZ, vendor claim
Technology and softwareMedia and entertainment

AI content moderation for trust and safety at online platforms

AI content moderation for trust and safety scans user generated content, such as live video, images, chat and audio, against an online platform's policy in real time. It removes or hides the clearest violations and routes borderline cases to a human moderator with its reasoning attached, so the platform can review far more content than a human team alone while keeping irreversible decisions with a person.

Deployments
4 public, best grade C
Autonomy
Supervised agent
Government and public sectorLogistics and transportation

AI crowd density and flow monitoring for venues, transport hubs and pilgrimage sites

Crowd density and flow monitoring is AI that counts people on camera feeds and flags crowding, movement against the flow and congestion points so operators can act early. It estimates how many people are in a zone and which way they move, and leaves every decision, such as opening a gate, redirecting a stream or sending staff, to the operators in the control room.

Deployments
3 public, best grade C
Autonomy
Assist
Cross industryGovernment and public sector

AI document intelligence for unstructured forms and documents

Intelligent document processing is AI that takes documents in any format, such as scanned forms, PDFs, photos, emails and handwritten notes, and splits, classifies and extracts the required fields. Each field gets a confidence score, is validated against business rules and source systems, and only the uncertain cases go to a person before the data enters the downstream process.

Deployments
15 public, best grade B
Median cycle time reduction
75%
7 deployments
Healthcare

AI drafting of radiology reports for radiologist review

AI radiology report drafting is software that writes a first draft of the report from the image and the clinical data, which the radiologist edits and signs. The draft comes from a vision language model, either trained on the organization's own signed reports or built on a radiology foundation model, and it replaces the blank template or dictation at the start of the read. The radiologist stays responsible for the final interpretation.

Deployments
4 public, best grade B
Median productivity gain
15.5%
3 deployments
Logistics and transportationAutomotive

AI drive through vehicle inspection for rental and delivery fleets

AI drive through vehicle inspection uses cameras and sensors in a gate or archway that a vehicle drives through to scan its body, glass, tires and undercarriage in seconds. Computer vision detects defects and damage, rates their severity and compares the scan with an earlier one, so a fleet or rental operator knows what to repair or charge for.

Deployments
3 public, best grade B
Reported accuracy
96%
Amazon, vendor claim
Travel and hospitality

AI for aircraft turnaround and ground handling optimization

AI ground handling and turnaround optimization watches each aircraft turnaround in real time, often with computer vision, and alerts ground operations staff when a step falls behind. It uses cameras aimed at the gate and apron, covers fueling, catering, baggage, boarding and pushback, predicts the departure time as soon as the aircraft arrives, and raises the alert the moment a subprocess falls behind schedule, so staff can intervene before a small delay becomes a missed slot.

Deployments
4 public, best grade C
Autonomy
Assist
BankingPayments and cards

AI for application and identity fraud detection

Application and identity fraud detection is AI that checks incoming account and loan applications for banks and lenders to catch forgery and fraud rings. It analyzes documents, device and application data across the whole queue and cross checks against bureau and official sources to flag forged or AI generated documents, synthetic and stolen identities, and coordinated rings.

Deployments
8 public, best grade B
Reported detection improvement
2.5x
Department for Work and Pensions, organization claim
Insurance

AI for catastrophe and exposure assessment in insurance

AI catastrophe exposure assessment is AI that turns satellite and geospatial data into a fast, portfolio wide view of which policies and properties are exposed to a catastrophe. It covers before and immediately after the event, so exposure managers and claims teams can quantify the loss, prioritize response and reach affected customers first, without waiting for ground surveys.

Deployments
4 public, best grade B
Autonomy
Assist
Real estate

AI for construction schedule and progress tracking

AI construction progress tracking matches site photos to the schedule and BIM model to show what is actually built, for site teams and owners. The photos are captured with a hardhat mounted camera on regular site walks and compared with planned tasks and quantities, so teams see where trades are behind and where installed work does not match the design, without walking the site by hand.

Deployments
4 public, best grade C
Reported productivity gain
95%
Layton Construction, vendor claim
Logistics and transportationRetail and ecommerce

AI for customs classification and declaration preparation

AI customs classification and declaration is AI that reads what is being shipped and proposes the tariff classification code for a customs declaration. It uses the commercial invoice, the product data and sometimes a photo, gives its reasoning and a confidence score, drafts the declaration with value, origin and parties, and sends only uncertain or high risk entries to a licensed customs specialist before filing.

Deployments
4 public, best grade B
Reported automation rate
90%
United Parcel Service, organization claim
Telecommunications

AI for fibre network route and build planning

Fibre network route and build planning is AI that turns geospatial survey data, existing infrastructure records and historical civil works costs into a proposed fibre route and a cost estimate. Planners spend less time drawing routes by hand and get a more consistent, defensible estimate before construction starts.

Deployments
8 public, best grade B
Reported cycle time reduction
about 75%
Bonfire Fiber, organization claim
Insurance

AI for insurance claims fraud detection

Claims fraud detection is AI that scores every insurance claim for fraud from first notice of loss onwards, combining claim, policy, document, image and network data. It finds suspicious claims, organized rings and inflated losses, and sends each alert with its reasons to a claims handler or special investigations unit for review.

Deployments
12 public, best grade B
Autonomy
Assist
Insurance

AI for parametric insurance claims triggering

AI for parametric claims triggering builds the index a parametric insurance policy pays against, then measures the triggering event itself, such as a wildfire's extent once it happens. The models are trained on historical, simulated and satellite or radar data, and their output lets a deterministic engine calculate and release the payout without an adjuster assessing the loss on site.

Deployments
4 public, best grade B
Autonomy
Autonomous
Insurance

AI for photo based damage assessment in insurance claims

Photo based damage assessment is computer vision that assesses vehicle or property damage from photos or video for an insurance claim. The photos or video can come from the policyholder, a repairer or an adjuster. The AI identifies the damaged parts and the repair or replace decision, produces or checks the repair estimate, and flags total losses and inconsistencies for a person to review.

Deployments
12 public, best grade B
Reported accuracy
95%
Ping An Insurance (Group) Company of China, organization claim
Cross industryRetail and ecommerce

AI generated ad creative production and testing

AI generated ad creative production and testing is generative AI that creates the images, video and copy variants a paid media campaign needs, for marketers. It scores or tests the variants against real performance data and lets a marketer pick, adjust and publish the ones that work, instead of a manual shoot and edit for every format and audience segment. This page covers making and testing the creative itself; choosing which offer or message to show which customer is covered separately under AI marketing personalization at scale.

Deployments
10 public, best grade B
Reported click through uplift
about 83%
Dandy Blend, vendor claim
Retail and ecommerce

AI loss prevention at self checkout and store exit

AI loss prevention at self checkout uses cameras and computer vision to spot items that were not scanned and to prompt the shopper to fix them. Some retailers also check the cart against the receipt at the exit, leaving final checks to staff.

Deployments
4 public, best grade B
Reported automation rate
at least 75%
Kroger, organization claim
Media and entertainment

AI metadata tagging and indexing for media archives

AI media archive metadata tagging watches and listens to a broadcaster's or publisher's video and audio archive and generates structured metadata describing what is in each piece of content. It captures detail such as what is shown, who appears, spoken content, on screen text, logos and objects, so content makers can find and reuse footage through natural language search instead of relying on sparse, inconsistent tags added by hand over decades.

Deployments
4 public, best grade B
Reported search time reduction
99.2%
Condé Nast, vendor claim

What the evidence says

Computed from the 216 public deployments behind these use cases. Numbers update with every checked record.

Benchmarks with at least 3 pooled values

Benchmarks across Computer vision use cases
KPIMedianReported rangeData pointsClaimed by
Cycle time reduction75%
44% to 97%
114 organization, 7 vendor
Accuracy96%
75% to 99%
94 organization, 5 vendor
Productivity gain44.5%
11% to 95%
63 organization, 3 vendor
Error reduction8%
0.4% to 67%
51 organization, 4 vendor
Cost reduction13.5%
4% to 80%
Not pooled: up to 70%
4plus 1 up to1 organization, 3 vendor
Automation rate82.5%
45% to 91%
43 organization, 1 vendor
Deployments by stage
  • Announced
    11
  • Pilot
    18
  • Production
    147
  • Scaled
    39
  • Paused or rolled back
    1
Public deployments by region
  • North America
    82
  • Europe
    64
  • Asia Pacific
    27
  • Middle East
    18
  • Global
    12
  • Latin America
    10
  • Africa
    3

Organizations with a public deployment

  • 1-800-FLOWERS.COM, Inc.
  • A.P. Moller Maersk
  • AMARO
  • ASICS
  • AXA Switzerland
  • Absa Group
  • Admiral Seguros
  • Adventist Health + Rideout
  • Ageas UK
  • Agenzia delle Entrate
  • Alaska Airlines
  • Albo
  • Alibaba Group
  • Amazon
  • Americana Restaurants
  • Ancine
  • Arizona Public Service (APS)
  • Art Basel
  • Assurant
  • Audi
  • Australian Broadcasting Corporation
  • B&R Stores
  • BCU
  • BJ's Wholesale Club
  • BMW Group
  • BNSF Railway
  • Banorte
  • Bavarian State Office for Digitization, Broadband and Surveying (LDBV)
  • Bear Valley Electric Service
  • Bell Media
  • Bloomberg Connects
  • Bluevine
  • Bonfire Fiber
  • Bouygues Telecom
  • Brit
  • Build Group
  • CI Financial
  • CNG Holdings
  • CSAA Insurance Group
  • California FAIR Plan Association
  • Canadian Pacific Kansas City
  • Centre Pompidou
  • Charlotte-Mecklenburg Schools
  • Chatroulette
  • Chelsea School District
  • City of Fremont
  • CityFibre
  • Close Brothers Motor Finance
  • Condé Nast
  • Covéa
  • DHL Express
  • Daman (The National Health Insurance Company)
  • Dandy Blend
  • DeAcero
  • Delhi International Airport Limited (DIAL)
  • Department for Work and Pensions
  • Descartes Underwriting
  • Deutsche Bank
  • Deutsche Telekom
  • Direction générale des Finances publiques (DGFiP)
  • Duolingo
  • East Baton Rouge Parish Schools
  • Educational Testing Service (ETS)
  • El Centro Regional Medical Center
  • Elemis
  • Elliott Museum
  • Emirates NBD
  • Enpal
  • Entergy
  • Etsy
  • Event Tickets Center
  • Falcon Game Studio (OneSoft)
  • Florida Peninsula Insurance Company
  • Fox Sports
  • Foyer
  • Funsol Technologies
  • GAIL's Bakery
  • GNP Seguros
  • Gemeente Den Haag
  • General Insurance Association of Singapore
  • Generali Italia
  • Gjensidige
  • GoGo SqueeZ
  • Greater Toronto Airports Authority
  • Gwinnett County Public Schools
  • HM Revenue and Customs
  • Haier Group
  • Harry Rosen
  • Henkel
  • Hertz
  • Highrise
  • Hirschbach Motor Lines
  • Hisense Mexico
  • Isala
  • Jack in the Box Inc.
  • Jubilee Holdings
  • KPN
  • Kogan
  • Kroger
  • Layton Construction
  • Leeds Castle
  • Lega Serie A
  • Lemonade
  • Levy
  • Liberty Mutual
  • Lili
  • Liverpool City Region Destination Partnership
  • LucidHealth
  • Lysol (Reckitt)
  • M-DAQ Global
  • M42
  • MAPFRE
  • Madrid Destino
  • Mercy
  • Ministry of Human Resources and Emiratisation (MoHRE)
  • Ministry of the Interior (France)
  • Morrisons
  • Museo Miraflores
  • NCC
  • National Basketball Association (NBA)
  • National Gallery Singapore
  • National Grid
  • Norfolk Southern
  • Northwestern Medicine
  • OCBC
  • Ochsner Health
  • Old Cannery Furniture Warehouse
  • Old Mutual General Insurance
  • Openreach
  • Orange France
  • PNM
  • PZU
  • Payoneer
  • Pearson VUE
  • Pegatron
  • Per Aarsleff A/S
  • Ping An Insurance (Group) Company of China
  • Plato
  • Port of Seattle
  • Portland General Electric (PGE)
  • Porto Seguro
  • Premier Sports
  • Presidency of Religious Affairs at the Grand Mosque and the Prophet's Mosque
  • Proximus
  • Pupuk Indonesia
  • RAKBANK
  • Radiology Associates of North Texas
  • Radiology Partners
  • Radiotelevisión Española (RTVE)
  • Riyadh Municipality
  • SK Telecom
  • SPAR Austria
  • Sam's Club
  • Saudi Data and Artificial Intelligence Authority (SDAIA)
  • Saudi Tourism Authority
  • Saudia Cargo
  • Schladming-Dachstein Tourist Board
  • Schnuck Markets
  • SeaBank Indonesia
  • Security First Insurance
  • Seha Virtual Hospital (Saudi Ministry of Health)
  • Sheba Medical Center
  • Shelter Insurance
  • Sidra Medicine
  • Singapore General Hospital (SGH)
  • Singtel
  • Sixt
  • Sompo Japan
  • Sompo Japan Insurance
  • Suncorp Group
  • THE ICONIC
  • Tango
  • Tawuniya (Company for Cooperative Insurance)
  • Telefónica España
  • Telia
  • Telstra
  • Temple Health
  • Tepper Sports & Entertainment
  • Tesco
  • The ODP Corporation
  • Tokio Marine & Nichido Fire Insurance
  • Tokio Marine Insurance UAE
  • Trinity Public Utilities District
  • U.S. Citizenship and Immigration Services
  • U.S. Immigration and Customs Enforcement
  • UPMC Hamot
  • UPP
  • United Parcel Service
  • Utica City School District
  • Virgin Media O2
  • Visit Qatar
  • Vodafone
  • Vodafone Germany
  • Vodafone Spain
  • Volvo Group
  • Wakefern Food Corp.
  • Walmart
  • Walmart de México y Centroamérica
  • Warta
  • WellSpan Health
  • White Castle Management Co.
  • Wing Zone
  • Xcel Energy
  • ZLS Zoll und Logistikservice GmbH
  • Zalando
  • ZhongAn Online P&C Insurance
  • Zurich North America
  • bol
  • eBay
  • eir

Frequently asked questions

What are the most common computer vision use cases?
Counted by organizations with a public deployment, the most common are AI document intelligence for unstructured forms and documents (15 organizations), AI video analytics and screening for physical security (13 organizations), AI visitor and tour guide for cities, museums and events (13 organizations), AI for insurance claims fraud detection (12 organizations) and AI for photo based damage assessment in insurance claims (12 organizations). The library documents 36 computer vision use cases, 36 of them with a public deployment: 216 deployments by 210 organizations in 37 countries.
Which computer vision use cases have proven results?
These use cases have a median result across at least 3 organizations, not counting vendor only claims: AI document intelligence for unstructured forms and documents: median cycle time reduction 75% across 7 deployments; AI agent for device and connectivity troubleshooting on voice and chat: median containment rate 70% across 3 deployments; AI drafting of radiology reports for radiologist review: median productivity gain 15.5% across 3 deployments; AI size and fit recommendation for online fashion: median error reduction 4% across 3 deployments.
How many of these AI deployments are live in production?
186 of the 216 public deployments are live: 147 in production and 39 scaled across the organization. 18 are pilots and 11 are announced.
Which computer vision use cases are high risk under the EU AI Act?
3 use cases fall in the high risk tier: AI assisted proctoring and integrity monitoring for remote exams, AI drafting of radiology reports for radiologist review and AI prioritization of radiology and imaging worklists. For 21 other use cases the tier depends on design, for example whether the system decides on access to an essential service. Each use case page explains its tier and what it requires. This is not legal advice.
Where do these numbers come from?
From the Blits.ai AI Use Case Library. Every deployment is a public record of a named organization with a cited source, and every number is computed from those records. Data as of 11 November 2026.