Visual intelligence,
built to run.

Computer vision for real-world environments. Turn images and video into decisions you can act on.

Detection. Understanding. Action.

Scroll to see what vision makes possible↓

01 / VISION IN FOCUS

See what’s there.

Detect and locate objects in images and video. Find the people, packages, and details that matter to your application.

Object detection

02 / VISION IN FOCUS

Understand every detail.

Go beyond a bounding box. Separate objects, map depth, and reveal the shape and movement within a scene.

Segmentation · Depth · Pose

03 / VISION IN FOCUS

Turn vision into information.

Read text, organize visual content, and find what you need. Give your software information it can work with.

Text recognition · Visual search

Scroll to explore Go to the live lab ↗

See it for yourself.

Object detection

See what your images contain. Try a sample, upload an image, or start your camera.

Runs in your browser
Street scene sample input
Sample inputStreet scene
DETECT & LOCATE

Find the details that matter.

Find people, vehicles, and everyday objects. Run this sample, then try an image of your own.

Starts only when you press Run.
8 vision techniquesYour images stay private

Images stay on your device. Models run directly in your browser.

Built for the world
outside the lab.

Different environments. A shared need to see clearly and act with confidence.

Discuss your use case ↗

See defects before they ship.

Inspect surfaces, check assemblies, and make quality visible at every step.

Inspection · Quality · SafetyDiscuss manufacturing

Know what moves through your space.

Locate packages and pallets, count objects, and bring structure to busy facilities.

Detection · Counting · FlowDiscuss logistics

Give machines visual awareness.

Use depth and pose to understand geometry, position, and movement.

Depth · Pose · Spatial understandingDiscuss robotics

Make physical spaces measurable.

Understand shelf contents and how people use a space, with visual data you can act on.

Inventory · People flow · SearchDiscuss retail

A complete path
from pixels to action.

A useful model is the beginning. A dependable vision system connects every step.

  1. 01

    Capture

    Start with the real world.

    Bring in images and video from your cameras, devices, or datasets.

  2. 02

    Understand

    Choose the right vision task.

    Connect detection, segmentation, depth, or recognition to your use case.

  3. 03

    Optimize

    Fit the environment.

    Balance model size, speed, and accuracy for the hardware you use.

  4. 04

    Infer

    Turn inputs into results.

    Run models where the work happens, from the browser to the edge.

  5. 05

    Integrate

    Make the output useful.

    Connect visual results to your applications, workflows, and decisions.

  6. 06

    Operate

    Keep improving.

    Measure results, review the difficult cases, and refine the system.

Put your vision
to work.

Tell us what you need to see, understand, or automate.

Start a conversation shriarul@visang.org