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WLKATA OpenCV Advanced Vision Suite with Textbook
WLKATA OpenCV Advanced Vision Suite with Textbook
WLKATA OpenCV Advanced Vision Suite with Textbook
WLKATA OpenCV Advanced Vision Suite with Textbook
WLKATA OpenCV Advanced Vision Suite with Textbook
WLKATA OpenCV Advanced Vision Suite with Textbook

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ADVANCED VISION SYSTEM

WLKATA OpenCV Advanced Vision Suite with Textbook

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SKU:

WL-AC-AIVM-VM001

Type:

Robotic Arm Add-On

NVIDIA Jetson

Embedded AI platform

YOLOv5 AI

Machine Vision

17" Display

Industrial Monitor

Jetson

Python

PyTorch

YOLOv5

OpenCV

Linux

The WLKATA OpenCV Advanced Vision Suite is a ready-to-use AI robot vision learning platform for classrooms, robotics labs, and STEM education. It combines a high-resolution camera, built-in NVIDIA Jetson computing platform, 17-inch display, preset Linux/OpenCV/Python software environment, textbook lessons, open-source code, and robot integration examples. Students can start with camera calibration and image processing, then advance to YOLOv5 object detection, robotic sorting, visual inspection, OCR recognition, and vision-guided robot control.

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Available in stock

$4,990.00

Quantity

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Add to Cart

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5X12 Tech Support

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Lab-Ready Setup

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Educational Warranty

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What's Included in the OpenCV Advanced Vision Suite

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OpenCV Advanced Vision Suite Main Unit Case X 1

  • Built-in NVIDIA Jetson AI Computing Platform

  • High-Resolution Full-Color Camera

  • 17-Inch Display

  • Robotic Vision Camera with Adjustable Stand

  • Emergency Stop Button

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Preset Linux / Python / OpenCV Software Environment X 1

  • YOLOv5 AI Object Detection Environment

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Digital textbook with 10+ Hands-On Project Lessons X 1

  • Open-Source Code Examples

  • Video-Guided Experiment Resources

  • Integration Examples for WLKATA Robotic Arms

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Keyboard and Mouse X 1

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Power Cable and Accessories Kit X 1

Simply open, connect, and begin — no software setup required.

OpenCV Advanced Vision Suite

A Powerful Vision Platform for Robotics Education

What to learn

What Students Learn with the WLKATA OpenCV Vision Suite

From camera calibration to AI-guided robotic grasping — a structured, hands-on curriculum covering 14 core computer vision and robotics skills.

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OpenCV Image Processing

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Python-Based Vision Programming

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Camera Calibration & Distortion Correction

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Hand-Eye Calibration (Camera ↔ Robot)

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QR Code Recognition

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Perspective Transformation

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Color Detection & Color Sorting

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Shape Recognition

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YOLOv5 Object Detection

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OCR Character Recognition

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Visual Defect Detection

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Vision-Guided Robotic Grasping

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AI Vision in Smart Manufacturing

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Robot Automation Workflow Design

This system is ideal for teaching both computer vision fundamentals and real-world robotic AI applications.

FIVE PLUS VISION ALGORITHMS

Flexible Detection for Diverse Needs

Students can explore both classic image processing and AI-based detection, then apply the results to real robot tasks.

01

Color Detection

Recognize and sort objects based on color information.

02

Shape Detection

Identify common shapes and connect recognition results to robot actions.

03

Feature Points

Detect key image features for calibration, positioning, and analysis.

04

QR Codes

Read QR codes for identification, tracking, and automated decisions.

05

YOLOv5 Detection

Introduce deep learning object detection for advanced AI vision projects.

Compatibility

Works with

ALL

WLKATA Robotic Arms

MiroMAX

Mirobot

Haro380

MT4

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OpenCV Advanced Vision Suite Compatibility

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Yes

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Yes

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Yes

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Yes

Everything a Classroom Needs to Learn AI Robot Vision

One complete system — hardware, software, curriculum, and robot integration.

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NVIDIA Jetson AI Computing

Built-in NVIDIA Jetson platform delivers real-time AI inference for YOLOv5, OpenCV, and advanced robot vision experiments.

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Preset Python & OpenCV Environment

Linux-based environment with Python, OpenCV, and YOLOv5 pre-installed. No setup needed — students start learning on day one.

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Textbook, Lessons & Open-Source Code

Includes the Robotic Vision with OpenCV textbook, 10+ project lessons, video guides, and open-source code examples.

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Robotic Arm Integration

Direct integration with WLKATA arms including Mirobot, MT4, Haro380, and MiroMAX for vision-guided robotic control.

CORE FUNCTIONS

All-in-One Classroom Robotic Vision Platform

The suite combines hardware, software, teaching resources, and robot integration into one classroom-ready platform for visual positioning, measurement, detection, recognition, and vision-guided robot control.

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Powerful Vision Platform

A Linux-based robotic vision system built with Python, PyTorch, YOLOv5, and OpenCV for practical AI vision and image processing experiments.

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Open Interfaces

Open low-level control with full command access, giving students and developers the freedom to build custom robot vision applications.

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Comprehensive Learning Support

Includes textbook-based lessons, open-source code, and video-guided experiments covering calibration, recognition, sorting, grasping, and inspection.

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Education and Research Ready

Designed for teaching and experimentation in machine vision, robotics, AI object detection, smart manufacturing, and image processing.

Who Is the OpenCV Vision Suite For?

Designed for educators, students, and institutions that want a practical, structured approach to teaching AI vision and robotics automation.

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Robotics Classrooms

Ideal for high school and university robotics courses with structured lessons and ready-to-use curriculum.

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University Robotics Courses

Supports undergraduate and postgraduate robotics, mechatronics, and AI courses.

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Vocational & Technical Training

Equips trade and technical schools with real-world smart manufacturing and machine vision training tools.

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Smart Manufacturing Demos

Demonstrates AI vision in industrial automation: sorting, defect detection, OCR, and vision-guided picking.

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AI Education Labs

Perfect for dedicated AI labs exploring real-time machine vision with Python, OpenCV, and YOLOv5.

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Python & OpenCV Learners

Structured learning path from basic image processing to advanced AI detection for self-directed learners.

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TEXTBOOK & RESOURCES

Including A Complete Textbook with Learning Materials

The textbook and project package include experiment guides, open-source code, and video-guided lessons, making it easier to teach complex robot vision topics step by step.

Textbook: ROBOTIC VISION WITH OPENCV

10+ Projects with Code & Videos

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Chapter 1.

Camera Calibration & Distortion Correction

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Chapter 7.

YOLO Fruit Card Sorting

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Chapter 2.

Hand-Eye Calibration

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Chapter 8.

License Plate Recognition & Sorting

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Chapter 3.

QR Code Recognition & Perspective Transform

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Chapter 9.

OCR Character Recognition

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Chapter 4.

Color Sorting with OpenCV

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Chapter 10.

ID Recognition & Robotic Grasping

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Chapter 5.

Shape Recognition & Sorting

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Chapter 11.

Tablet Sorting

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Chapter 6.

YOLO Screw & Nut Sorting

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Chapter 12.

Tablet Defect Detection

Classroom Applications - AI Vision Projects

Ready-to-run Projects For Classrooms

14 ready-to-run experiments covering the full spectrum of AI robot vision — from basic calibration to smart factory simulations.

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Camera Calibration

Correct distortion and improve vision accuracy.

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Hand-Eye Calibration

Connect the camera coordinate system with the robot coordinate system.

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QR Code Recognition

Identify objects or tasks with visual codes.

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Color Recognition

Detect object colors for sorting and classification.

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Shape Sorting

Recognize shapes and guide robot sorting actions.

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Screw Sorting

Use AI vision to classify small mechanical parts.

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Defect Detection

Simulate quality inspection for smart manufacturing.

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Pill Recognition

Identify small objects by color, shape, or features.

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Object Recognition

Recognize targets and support robotic grasping.

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Character Sorting

Sort items based on printed characters and OCR-style detection.

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License Plate Recognition

Introduce real-world visual identification tasks.

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Document Recognition

Explore image recognition with document-based examples.

Classroom-Ready

Built for Classroom AI Vision Learning

The WLKATA OpenCV Advanced Vision Suite is designed to reduce setup time and make AI vision learning easier for teachers and students.

With the NVIDIA Jetson platform built in and the software environment already preset, students can focus on learning OpenCV, Python, AI detection, and robotic vision — instead of spending hours on software installation.

The included textbook, demos, code examples, and guided lessons make it easy to teach robot vision in a structured, repeatable classroom environment.

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Zero software setup required

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Structured textbook & 10+ guided lessons

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Designed for repeatable classroom delivery

Frequently Asked Questions

Everything you need to know about the WLKATA OpenCV Advanced Vision Suite.

The WLKATA OpenCV Advanced Vision Suite is a ready-to-use AI robot vision learning platform. It combines camera vision, NVIDIA Jetson computing, OpenCV, Python, YOLOv5, textbook lessons, code examples, and WLKATA robotic arm integration.

Yes. The system includes a built-in NVIDIA Jetson-based AI computing platform for robot vision experiments and AI vision applications.

Yes. The system is designed for classroom use with a preset Linux-based vision environment, including Python, OpenCV, and AI vision tools. This allows students to start learning without setting up the software environment from scratch.

Students can learn camera calibration, hand-eye calibration, OpenCV image processing, QR code recognition, color detection, shape recognition, YOLOv5 object detection, OCR recognition, defect detection, and vision-guided robotic control.

The system is designed to work with WLKATA robotic arms, including Mirobot, MT4, Haro380, and MiroMAX.

Yes. The system includes the Robotic Vision with OpenCV textbook, along with project lessons, code examples, and guided learning resources.

Yes. It is designed for robotics classrooms, AI education, STEM labs, university robotics courses, and smart manufacturing training.

Yes. Students can start with basic image processing and camera calibration, then gradually move into advanced AI vision projects such as YOLOv5 object detection, OCR, and vision-guided robotic grasping.

This is not just a camera module. It is a complete AI robot vision learning platform with NVIDIA Jetson computing, preset software, textbook lessons, project demos, code examples, and robotic arm integration.

Specifications

TECHNICAL SPECIFICATIONS

High-resolution imaging, NVIDIA Jetson computing, full-color vision, and classroom-ready display and interface options.

ITEM

SPECIFICATION

Product Model

WL-AC-AIVM-VM001

Camera Color

Full Color

Camera Resolution

2952 × 1944

Voltage

3.6V–5V

Display Resolution

1920 × 1080

Display Interface

HDMI, AV, VGA

CPU

Quad-core ARM Cortex-A57 @ 1.43GHz

GPU

128-core Maxwell

Lens Parameters

Brightness, contrast, hue, saturation, sharpness, auto balance, exposure

Communication Interfaces

4 × USB 3.0, USB 2.0, Micro-B, HDMI, DP

Video Encoding

4K @ 30 fps or 4 × 1080p @ 30 fps

Display Size

17-inch display