Transform creative operations vision AI

Drive innovative production workflows. Free up creative teams by automating labor-intensive tasks. Elevate quality assurance and deliver new audience experiences. Deploy vision AI today.
“We knew AI would take our camera automation solutions to a whole new level. With Roboflow’s expertise, we successfully navigated the complexities of building and deploying finely-tuned models.
Dwayne Pallanti Director of Engineering, Fletcher
Read the case study

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.
Automotive customer:
$0 million
Saved by automatically detecting defects on the production line
Logistics & freight company:
0%
Less time spent manually tracking shipping inventory
Building materials supplier:
0%
Lower customer return rate with improved product quality

Achieve immediate, organization-wide results

Accelerate AI deployment and solve complex challenges across the value chain.

Automate broadcast production

Deploy smart camera systems to track objects, actors, or athletes and dynamically control production equipment in response to specific actions or scenarios. Enhance efficiency and deliver new experiences.

Analyze and understand content

Automate media analysis tasks like detecting black frames, intro and credits scenes, and shot changes. Improve timecode accuracy, facility ad placements, ensure compliance with broadcast standards.

Measure brand exposure

Track brand, advertising, and content placements across physical and digital spaces. Gauge public sentiment, identify trending material, and refine strategies to resonate with audiences.

Enhance quality assurance

Elevate user experiences by finding and eliminating errors and bugs. Automatically detect video anomalies such as color deviations or missing captions – or power intelligent quality testing for video games.

Enrich asset libraries

Generate detailed metadata for massive asset libraries automatically. Tag scenes, environments, camera angles, or facial expressions to improve searchability and accelerate your creative teams’ workflows.

Automate content moderation

Scan imagery, flag prohibited content, and reduce human moderators exposure to potentially harmful content. Vision AI facilitates detection of subtle or nuanced symbols, imagers, or gestures.

Automate processes across your business

Drive innovation throughout the creative and distribution workflows.

Planning

Automate data entry
Image search for locations

Production

Control production equipment
Monitor safety compliance

Asset management

Automatically tag media
Identify intellectual property

Editing & development

Understand content
Ensure broadcast compliance

Quality

Automate bug testing
Detect visual errors

Broadcast

Generate athlete metrics
Understand & caption actions

Advertising

Recognize logos & ads
Track sentiment and reach

Moderation

Detect inappropriate content
Analyze content trends

Redefining sports broadcasting at the US Open and Wimbledon

While filming international sporting events viewed by millions of people, Fletcher needed a camera system capable of recognizing and tracking fast-moving players.

By training AI to track player movements and deploying to high-performance edge devices, Fletcher delivered all-court broadcast coverage for the first time in these events' history.
Read the case study
Python
cURL
Javascript
Swift
.Net

from inference_sdk import InferenceHTTPClient

CLIENT = InferenceHTTPClient(
    api_url="https://detect.roboflow.com",
    api_key="****"
)

result = CLIENT.infer(your_image.jpg, model_id="license-plate-recognition-rxg4e/4")

ARM CPU
x86 CPU
Luxonis OAK
NVIDIA GPU
NVIDIA TRT
NVIDIA Jetson
Raspberry Pi

Deploy AI wherever you need

Run on the platform of your choice – from air-gapped servers to cloud-connected cameras in your facility.

Self-hosted Deployment

Roboflow Inference: An open source and scalable way to run models on-device, with or without an internet connection.
Run inference on-device without the headache of environment management, dependencies, managing CUDA versions, and more.
HTTP interfaces for foundation models, like CLIP and SAM, which you can use directly in your application or as part of multi-stage inference processes.
Complex inference features including autobatching inference, multi-model containers, multithreading, and DMZ deployments.
UDP inference to keep latency as low as possible.

Workflows

Simplify Building and Deploying Vision AI Applications
Integrated workflow builder and deployment ensures what you configure runs in production.
Try Workflows
Combine custom models, open source models, LLM APIs, pre-built logic, and external applications
ARM CPU
x86 CPU
Luxonis OAK
NVIDIA GPU
NVIDIA TRT
NVIDIA Jetson
Raspberry Pi
ARM CPU
x86 CPU
Luxonis OAK
NVIDIA GPU
NVIDIA TRT
NVIDIA Jetson
Raspberry Pi
Python

result = client.run_workflow(
    workspace_name="suvjg",
    workflow_id="abc",
    images={
        "image": "YOUR_IMAGE.jpg"
    }
)
Deploy using a fully managed infrastructure with an API endpoint or on-device, internet connection optional

Enterprise-ready management

Streamlined deployment for large-scale computer vision environments.
Manage hundreds of devices
Monitor the status of all streams and devices in one console, track inference volume, modify settings, and push updates remotely.
Granular access controls
Single Sign-On (SSO) integration streamlines user authentication, while role-based access control provides granular permissions settings for admins.
Secure & compliant infrastructure
Data is protected by enterprise-grade security features, such as encryption at rest and transit, SOC 2 Type 2 compliance, and HIPAA-ready infrastructure.

Speak with an AI expert

Our team will help you start solving business problems on the first call.

Ask us about

  • Solution architecting
  • Live demonstration
  • Pricing and specifications
  • Feasibility assessment
Oops! Something went wrong while submitting the form.
We will connect you with an AI subject matter expert on our team based on your answers.
What challenges would you like to solve with vision AI?
Where will you run vision AI?
Are you replacing a current solution with AI or will this be a new solution?
How many detections do you anticipate per month?
Describe the business problem you would like to solve.
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