Elevate service quality. Improve operational efficiency. Strengthen safety and compliance. Improve profitability. From retail to services, unlock end-to-end transformation with state-of-the-art vision AI.
Accelerate AI deployment and solve complex challenges across the value chain.
Analyze Product Displays
Monitor shelves and displays for stockouts, misplaced items, and planogram compliance. Ensure optimal product availability and streamline replenishment.
Understand Customer Flow
Track customer movement patterns, dwell times, and overall traffic flow. Detect overcrowding and optimize layouts for efficiency and safety.
Monitor Queues & Turnover
Accurately detect and measure queue lengths in real-time. Reduce customer wait times, improve table turnover, and enhance service efficiency.
Improve Physical Security
Get real-time insights into overcrowding and trigger alerts when occupancy levels exceed thresholds. Identify and deter theft, fraud, and unauthorized entry.
Ensure Safety & Compliance
Detect product defects, monitor hygiene standards, identify hazards like spills, and verify operational compliance. Reduce incidents and enhance brand trust.
Optimize Warehouse Logistics
Streamline inbound and outbound processes by automatically tracking and verifying backroom inventory. Ensure accurate stock levels and optimize storage utilization.
Automate processes, start to finish
Drive innovation and improve efficiency, from receiving goods to serving customers.
A leading hospitality group sought to ensure a consistent, premium customer experience and boost service capacity across a high-end restaurant chain. Manual monitoring of high-volume operations led to inconsistencies and missed opportunities, hindering their goal of increasing daily covers.
The group deployed specialized vision AI systems powered by Roboflow across sites. This real-time monitoring system provides critical insights into queue lines, table states, and customer wait times.
The new system significantly improved data capture and visibility, leading to more attentive waitstaff, fewer idle tables, shorter queue lines, and faster table turnover. The group can now better identify and address operational inefficiencies, consistently upholding their high hospitality standards.
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
Managed Deployment
Models directly on Roboflow's infrastructure through an infinitely-scalable API
Load balancing and auto-scaling to provide stability during bursts of usage.
Deploy at scale with bulk discounts and dedicated GPU clusters.
Switch to new model versions and architectures without adjusting your inference code.
Strict security and privacy standards, SOC 2 Type II, PCI, and HIPAA compliance.
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.
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.
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