Wlkata AI Vision Set - Textbook included - OpenMV Machine vision high quality CNC artificial intelligence

Wlkata AI Vision Set - Textbook included - OpenMV Machine vision high quality CNC artificial intelligence

Name: Wlkata AI Vision Set - Textbook included - OpenMV Machine vision high quality CNC artificial intelligence
Brand: Wlkata
SKU: WL-AC-ViMV-Re300
Price: 890.00 USD
Availability: InStock

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SKU WL-AC-ViMV-Re300

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$890.00 - $890.00

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WLKATA AI Vision Set

Overview

The WLKATA AI Vision Set is a machine vision platform for WLKATA robotic arms, built around an OpenMV 3 vision camera. It is an artificial intelligence learning platform based on Python programming, letting students recognize the color and shape of objects and then have a WLKATA Mirobot handle them automatically. It is a practical, hands-on way to teach the basics of machine vision and OpenMV.

The set includes a vision stand, the OpenMV 3 camera module with a 640 by 480 color sensor, a light ring for consistent lighting, a display screen, a visual calibration board, and a package of wooden blocks for experiments. The frame is aluminum alloy with CNC machining for stability, and its modules and stand are detachable for flexible setups. A digital textbook with source code for each experiment is included.

WLKATA AI Vision Set with OpenMV camera and vision stand

Specifications

WLKATA AI Vision Set components and dimensions

Vision
Camera	OpenMV 3 machine vision camera
Resolution	640 x 480 color sensor
Lighting	Light ring for consistent illumination
Display	Included display screen
Build and Software
Construction	Aluminum alloy with CNC machining
Design	Modular, with detachable modules and stand
Software	OpenMV and Python
Compatibility	WLKATA Mirobot and other WLKATA arms

Key Features

OpenMV Machine Vision: An OpenMV 3 camera performs onboard image processing for color and shape recognition.
Python-Based Learning: Students program recognition tasks in Python, a real, transferable skill.
Consistent Imaging: A light ring and display screen support reliable image capture and review.
Calibration Included: A visual calibration board helps align the camera with the robot workspace.
Modular and Portable: Detachable modules and an aluminum-alloy stand allow flexible, custom installations.
Textbook and Code: A digital textbook with source code for each experiment is included.

WLKATA AI Vision Set recognizing object color and shape

Applications

WLKATA AI Vision Set guiding a Mirobot in a classroom

The AI Vision Set is used to teach machine vision and AI in classrooms and labs. Paired with a WLKATA Mirobot, it enables vision-guided pick-and-place and sorting, so students can build a complete see-and-act workflow: the camera identifies an object by color or shape, and the arm handles it.

Because the target objects can be changed, instructors can create progressively more complex scenarios, from simple color sorting to shape-based reorientation, encouraging innovation and deeper understanding of computer vision.

Setup and Getting Started

Assemble the stand: Build the vision stand and mount the OpenMV 3 camera and light ring.
Connect the display: Attach the display screen so you can see the camera view.
Install the software: Set up OpenMV and Python, following the included handbook.
Calibrate: Use the calibration board to align the camera with the robot workspace.
Run a recognition demo: Use the wooden blocks to test color and shape recognition.
Connect a Mirobot: Link the vision system to a Mirobot for vision-guided handling.

WLKATA AI Vision Set assembly and calibration

What's Included

Vision Stand: (x1)
Camera: OpenMV 3 vision camera module (x1)
Lighting: Light ring (x1)
Materials: Wooden blocks package and visual calibration board
Display: Display screen (x1)
Documentation: Handbook and digital textbook with source code

Documentation and Resources

Developer Community (GitHub): github.com/wlkata

Warranty Information

The WLKATA AI Vision Set is covered by the WLKATA Product Warranty Policy, provided by Wristline Inc. (WLKATA) or its authorized agents. RoboticsSelect is an authorized WLKATA dealer, so warranty support is handled through us.

Item	Coverage
WLKATA AI Vision Set	1-year warranty
Spare Parts	3-month, 6-month, or 1-year warranty, depending on the part
Consumables	Not covered under warranty

Not Covered

Damage from misuse, accident, or operation outside the documented limits
Damage from unauthorized repair or modification
Consumable and wear parts

Warranty service requires a valid proof of purchase.

Frequently Asked Questions

What is in the AI Vision Set?

An OpenMV machine-vision camera, a calibrated mounting bracket compatible with WLKATA arms, sample objects for training, sample QR codes and ArUco markers, all required cables, and a comprehensive textbook covering machine vision from first principles through deployed AI applications. Designed for upper-secondary and undergraduate AI courses.

Why OpenMV instead of a regular USB camera?

OpenMV is a self-contained machine-vision module with an onboard MicroPython interpreter. It runs vision code directly on the camera module, returning results (object positions, color matches, marker IDs) over a serial link rather than sending raw video to a host computer. This teaches students about edge AI: real-world deployments often run vision on small embedded devices, not on full PCs.

What can students do with it out of the box?

Pre-loaded examples include color tracking, AprilTag and ArUco marker detection, QR code reading, basic shape recognition, and a small pretrained object classifier. Each example runs as a standalone MicroPython script. Students can modify any example by editing the script through the included IDE.

Can students train their own object classifiers?

Yes. The OpenMV camera supports a small CNN model called MobileNet that can be trained on a host computer with Edge Impulse (cloud) or TensorFlow (local) and then flashed to the camera. Typical training size: 200 to 500 images per class. Inference runs at approximately 5 frames per second on the camera.

How does it integrate with WLKATA arms?

The mounting bracket attaches to the wrist of any WLKATA arm. The camera's serial output feeds into the arm's control software through the included Python integration library. Visual servoing examples are included: the arm moves to center detected objects in the camera frame, then grasps them.

Does the textbook teach machine learning theory or just practical use?

Both. The textbook starts with image processing fundamentals (pixel operations, filters, edge detection) and progresses through classical machine vision (template matching, feature detection) to modern deep learning (CNNs, transfer learning). Each chapter has hands-on exercises using the included camera. Suitable as a standalone semester text.

What programming languages are required?

MicroPython on the camera (a subset of Python). Standard Python 3 on the host computer for examples that involve a paired arm. Some chapters include comparable C++ code for students who want to compare languages. No prior Python experience is assumed; the textbook includes a Python primer in chapter 1.

Is the camera durable in a classroom setting?

Yes. The camera is a small PCB module in a protective case. Drop tests indicate it survives normal student handling. The lens is replaceable if scratched. The mounting bracket is anodized aluminum. Total kit cost is low enough that classroom replacement is straightforward if needed.

What is the warranty?

12-month warranty on the camera and bracket. Textbooks are non-returnable. RoboticsSelect handles warranty service through the authorized channel.