Train the camera. Trigger the hardware.

AI Cam Vision brings camera setup, label training, live prediction, and device control into one focused app for WitBlox AI Cam Blox.

White kitten in the AI Cam Vision live camera view
Live cameraAI Cam Blox connected

Current prediction

The camera sees “Cat

Live session

One screen. The full loop.

Active labelCat
Training set4 labels · 246 samples

When Cat is detected

Turn Port 1 on
CameraLabelsLogicHardware

See AI Cam Vision in action.

Watch how camera training, live predictions, and hardware control come together in one workflow.

One clear path from a new camera to a working project.

The app keeps the important decisions visible, so learners understand both the prediction and the action it creates.

01

Show it

Point AI Cam Blox at an object, gesture, or scene you want your project to understand.

02

Teach it

Capture examples, name the labels, and check predictions while the camera stays in view.

03

Make it act

Connect a recognized label to a port, flow, or movement and see the response immediately.

See the full vision loop while you build.

Flow StudioReady to run
Start live prediction
If label is “Cat”
Port 1 → On

Logic you can follow, change, and explain.

Build the response as a visible sequence instead of burying it in code or switching between separate tools.

Train on the spot

Capture examples from the live camera, organize them into labels, and test the result without leaving the app.

Make predictions useful

Use what the camera recognizes to switch ports, trigger flows, or guide a robotics project.

From first connection to first response.

Each step builds on the last, so it is easy to see where a project is working and where it needs attention.

01

Connect

Find AI Cam Blox and confirm the live camera feed.

02

Collect

Create labels and capture varied examples for each one.

03

Predict

Test what the camera sees and watch confidence update.

04

Control

Turn a prediction into a visible hardware action.

Learning that leaves the screen.

Use computer vision as the input for projects that students and makers can see, touch, and improve.

Classroom01

AI concepts students can see and test.

Move from examples to predictions to a physical result without hiding the learning inside a black box.

Robotics02

Smarter builds with a camera in the loop.

Create sorting, detection, and response projects that react to what is in front of them.

Experimentation03

Fast feedback for curious builders.

Try a label, adjust the samples, and test the output while the whole loop stays visible.

AI Cam Vision, wherever you build.

Get the mobile app for your phone or tablet.

Ready to turn what a camera sees into something real?