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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

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

OpenCV Advanced Vision Suite

A Powerful Vision Platform for Robotics Education

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

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.

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.

APPLICATIONS

From Calibration to Robotic Grasping

Use ready-to-run examples to help students understand how vision algorithms become real automation workflows.

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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.

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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

TECHNICAL SPECIFICATIONS

Built for Advanced Robot Vision Experiments

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

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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