Computer Vision Inference

CloviCV LIVE

CPU-native image and video processing without GPU infrastructure. ONNX and OpenVINO inference engine for object detection, classification, and segmentation — production-ready on standard VPS hardware.

CPU-only inference • ONNX runtime • OpenVINO optimization

What it does

Bring vision inference to standard hardware

Deploy object detection, image classification, and segmentation models on any CPU-powered server. CloviCV runs ONNX and OpenVINO optimized models without GPU dependencies — ideal for cost-sensitive workloads and edge deployment scenarios where GPU infrastructure is unavailable.

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Supported Tasks
Object Detection, Classification, Segmentation
YOLO series (v5, v8, v11) ResNet / EfficientNet MobileNet U-Net segmentation Custom ONNX models
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Runtime Stack
ONNX Runtime + OpenVINO
Intel OpenVINO 2023.3 ONNX Runtime 1.17 OpenCV 4.9 NumPy / Pillow
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Use Cases
Production deployments without GPU lock-in
Quality control inspection Product recognition Document layout analysis Safety monitoring Batch image tagging
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API Access
REST + Python SDK
FastAPI :9110 Batch inference queue Multi-model serving Result caching

Why CloviCV

No GPU required

Most computer vision platforms assume GPU infrastructure. CloviCV is optimized for CPU-only deployment — reducing hosting costs, simplifying infrastructure, and enabling inference on standard VPS or edge devices where GPU access is unavailable or prohibitively expensive.

How we compare

CloviCV vs the alternatives

How CPU-native vision compares with a GPU cloud API or building your own inference stack.

CapabilityCloviCVGPU cloud vision APIsRoll-your-own
Runs on standard CPU hardwareBuilt inGPU requiredDepends
Detection, classification & segmentationAll threeUsuallyYou build it
No per-call cloud feesSelf-hostedPer callSelf-hosted
Optimised ONNX/OpenVINO runtimesBuilt inVariesYou configure
REST API out of the boxIncludedYesYou build it
Part of the CloviTek stackNativeNoNo

Comparison of common approaches, as of 2026. Approaches vary; details may change.

Integrations

Connects to your stack

CloviCV plugs into your pipelines as a simple inference service.

Im
Images & videoSend images or video frames and get structured detections back.Input
On
ONNX / OpenVINOOptimised inference runtimes run vision models on CPU hardware.Engine
Ap
REST APICall detection, classification and segmentation from any language.API
Fl
CloviFlowUse vision as an action step inside CloviFlow automations.Automation
Gw
CloviGatewayProgrammatic, versioned access through the platform gateway.Gateway
Ct
CloviTek fleetRuns alongside the rest of the platform.Native
Where it's going

Built to keep getting better

CloviCV ships continuously. Here's what's live today, what's landing next, and where the product is headed.

Shipped
CPU vision & API
  • Object detection, classification and segmentation on CPU
  • ONNX and OpenVINO optimised inference runtimes
  • REST API for integration from any language
On the roadmap
Scale
  • Streaming video analytics
  • Custom model onboarding
  • Per-tenant isolation for every customer's data
How it works

From image to result in four steps

One REST call, structured results back.

1
Send
Post an image
Send an image or video frame to the REST API.
→
2
Infer
CPU inference runs
ONNX and OpenVINO runtimes run detection, classification or segmentation on CPU.
→
3
Get
Structured results
Receive labels, boxes or masks as clean JSON.
→
4
Use
Wire into your app
Drop the results into your pipeline or a CloviFlow automation.
Who it's for

Who CloviCV is for

Production vision for the people who ship it.

ML engineers

ML engineers

Ship without GPUs

Run real vision models on CPU hardware, with no GPU cluster to manage.

No GPU
Backend developers

Backend developers

One REST call

Detection, classification and segmentation behind a simple HTTP API.

Simple API
Product teams

Product teams

Vision features fast

Add image understanding to a product without an ML-infra project.

Fast
Put to work

Put CloviCV to work

What teams reach for CloviCV to do.

Object detection

Locate and label objects in photos or video frames.

Content moderation

Classify images at scale against your own labels.

Segmentation

Pixel-level masks to separate objects from background.

Edge / VPS inference

Run vision where GPUs aren't available or affordable.

FAQ

Common questions

What is CloviCV?
A production computer-vision service — object detection, classification and segmentation — that runs on standard CPU hardware via ONNX and OpenVINO.
Do I need a GPU?
No. CloviCV is CPU-native by design, so it runs on ordinary server hardware with no GPU to provision.
What tasks does it support?
Object detection, image classification and segmentation, callable over a REST API.
How do I integrate it?
Send an image to the REST API and get structured results back — from any language.

Computer Vision Inference

Deploy vision models without GPU lock-in

CloviCV brings production-grade computer vision inference to standard CPU hardware. Request access to the CloviCV inference API.

Request Access