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Machine Vision Solution

Measurement 2D

 

Precision Measurement & Inspection by IIS Automation

IIS Automation specializes in precision measurement and inspection, utilizing advanced systems to calculate the distance between two axes (X, Y) and determine the geometric position of specific points on an object. This cutting-edge technology ensures that each inspected workpiece precisely matches the shape and dimensions specified by production standards.

By integrating sophisticated algorithms and high-resolution imaging, IIS Automation delivers unparalleled accuracy in detecting deviations that could compromise product quality.

Advanced Vision Inspection Process

The inspection process begins with high-tech cameras and sensors capturing detailed images of the workpiece. These images are then analyzed in real-time by the Vision Controller, which calculates geometric measurements such as distances, angles, and alignment.

The system then compares these measurements against predefined specifications, ensuring that each workpiece meets strict tolerances. If any discrepancies are detected, the Vision Controller precisely identifies defects, allowing manufacturers to eliminate errors early, prevent costly rework, and maintain consistently high product quality.

 

Intelligent Defect Detection & Automated Response

   When a workpiece fails to meet required standards, the Vision Controller instantly sends a signal to the machine control system, triggering an automated response. This may involve activating robotic arms or conveyor mechanisms to remove the defective workpiece from the production line. By eliminating defects early, the system ensures that only high-quality products move forward, optimizing production efficiency and maintaining consistent quality.

 

Enhancing Quality Control & Reducing Waste

   The integration of IIS Automation’s advanced inspection technology not only elevates quality control but also reduces waste and operational costs. By automating the detection and removal of defective workpieces, manufacturers can achieve higher production standards without compromising speed or reliability.

 

AI-Powered Innovation for Future Manufacturing

   With ongoing innovation, including the integration of artificial intelligence (AI) and machine learning, IIS Automation continues to lead in delivering precision-driven solutions. These advancements empower manufacturers to enhance efficiency, accuracy, and competitiveness in today’s fast-paced industrial landscape.

 
Barcode/QR Code Reader
It involves reading barcodes in both 1D (standard barcodes) and 2D formats (such as QR codes and Data Matrix) present on the workpieces to be inspected. Additionally, it can capture numeric and alphanumeric data contained within the barcodes through the Machine Vision system
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Surface Inspection
It is used to inspect the condition of workpieces, including surface integrity, scratches, and missing parts, by utilizing Machine Vision systems for thorough analysis and detection
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Presence or Absence
Refers to the inspection of whether a workpiece is present or missing, while also identifying any missing parts. It includes a sorting system to separate good workpieces from defective ones (Good/NG).
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Measurement 2D
Involves calculating the distance between two axes (X, Y) or the geometric position on an object and verifying whether it matches the specified shape or dimensions. If it does not meet the requirements, the Vision Controller will send a signal to the machine control system to remove the defective workpiece from the production line.
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Detection and Counting
This solution combines detection and counting in one process. It can inspect and count both stationary and moving workpieces (e.g., on a conveyor belt).
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Robot Guidance (Depalletizer)
Selecting workpieces with slight differences on a conveyor is challenging for humans. Machine Vision technology, however, can accurately detect and send the position data of these workpieces to robotic arms, allowing them to pick and place items into packaging. The system can distinguish variations in shape, size, and surface texture, ensuring precise sorting and handling.
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OCR (Optical Character Recognition)
The use of Machine Vision systems to inspect, read, and capture data in the form of characters, numbers, and symbols present on workpieces, verifying whether they are correct or not.
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