Blog de Sistemas de Visión Industrial | IARM Systems. https://iarmsystems.com/vision-systems/ Estaciones de trabajo industrial, fixtures de ensamble, sistemas de visión y robótica Mon, 10 Nov 2025 16:27:19 +0000 en-US hourly 1 https://wordpress.org/?v=7.0.1 https://iarmsystems.com/wp-content/uploads/2025/11/Favicon-IARMSystems-b.svg Blog de Sistemas de Visión Industrial | IARM Systems. https://iarmsystems.com/vision-systems/ 32 32 Quality inspection https://iarmsystems.com/quality-inspection/ https://iarmsystems.com/quality-inspection/#respond Thu, 06 Nov 2025 23:51:21 +0000 https://iarmsystems.com/?p=3356 Vision Systems Quality Inspection IARM Systems June 2022 5 min. read To understand quality inspection, we first need to define what quality means. Quality is a property that gives value to a product or service and determines the level of satisfaction it provides to the user. With this in mind, we can understand why quality […]

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Vision Systems

Quality Inspection

To understand quality inspection, we first need to define what quality means. Quality is a property that gives value to a product or service and determines the level of satisfaction it provides to the user. With this in mind, we can understand why quality plays a vital role across every industry.

Achieving consistent quality standards requires collaboration between all areas involved in production, with inspection serving as a critical element to prevent defects before they occur.

In most cases, inspections are performed through sampling, while 100% inspection is reserved for safety-critical features, functional characteristics, or compliance with strict standards.

Why quality inspection matters

The importance of quality became even more evident after the 1994 North American Free Trade Agreement (NAFTA) between the United States, Canada, and Mexico.
From that point on, markets became shared and highly competitive. Industries that once held local dominance now competed on a single global stage—where quality became the ultimate differentiator.

Customers, not manufacturers, began defining which companies would lead and which would disappear.
As a result, organizations were forced to invest in quality control and inspection systems—not only to ensure their products met customer expectations but also to improve processes, reduce costs, and minimize rework caused by defects.

Types of inspection

In industrial settings, inspection is the process of verifying that raw materials, in-process components, and finished products meet specified requirements. These inspections can be classified in two main ways:

1. Based on the items inspected

100% Inspection
Every single product unit is individually checked to separate conforming parts from defective ones.

Sampling Inspection
Only a sample of products is examined to make decisions about an entire production lot.

Verification Inspection
Used to detect significant changes in quality levels with very small samples. This type of inspection is mainly for control or validation purposes.

Zero Inspection
Applied to processes under full statistical control, where all products consistently meet quality standards—making inspection unnecessary.

2. Based on the stage of the product flow

Incoming Inspection
Ensures that purchased materials comply with specifications before they enter production.

In-Process (Intermediate) Inspection
Conducted between production stages to determine if parts can move to the next process.

Final Product Inspection
Determines whether finished products should be accepted or rejected before delivery—often identical to pre-shipment inspection.

Within product inspection, there are two subtypes:

  • Destructive Inspection: Testing or measurement destroys the part (used when performance must be validated under extreme conditions).

  • Non-Destructive Inspection: The product remains intact after evaluation.

Pre-Delivery Inspection
Ensures that the product meets customer requirements at the moment of shipment.

Stored Product Inspection
Used for products stored over long periods; the characteristics inspected depend on storage time and environmental conditions.

Inspection systems

Inspection systems consist of standards, criteria, and established procedures that define how inspection filters are applied in a production line.
They generally fall into two major groups:

Manual inspection

Typically used with sampling methods, this approach is labor-intensive and time-consuming. Inspections take place after the production process is complete, which delays issue detection and adds costs.
While less efficient, it remains necessary for products that cannot be inspected automatically due to their complexity or variability.

Automated inspection

Automated systems enable real-time, 100% inspection of all produced components. They are integrated directly into production lines or workstations to verify critical dimensions or performance immediately.

This reduces delays and manufacturing costs by detecting defects as they occur.
Although they eliminate human fatigue errors, automated systems depend entirely on the calibration, resolution, and reliability of their sensors and measurement instruments.

Modern inspection systems often incorporate machine vision technology, allowing automated, high-precision evaluation of parts in motion within the line.

Characteristics of quality inspection

Inspection focuses on verifying whether parts meet the required manufacturing characteristics for a specific purpose. It plays a key role in process implementation and standardization.

However, in traditional quality control, inspection is considered a non–value-added activity, as it only detects defects after they occur—consuming time and resources. True quality comes from process control, not merely from inspection.

Inspection alone cannot eliminate defects completely; it only identifies them. Moreover, inconsistent inspection criteria or human fatigue can lead to unreliable results. Therefore, evaluation parameters must be well-defined and standardized to minimize subjectivity.

Self-Inspection:

Each operator inspects the parts they produce.
Drawback: The operator may unintentionally approve defective units.

Successive Inspection:

Each operator is responsible for the quality of the product in their area. If a defect is found in the next stage, the issue must be reported to the operator who supplied the defective piece.

Core Principles:

  • Perform 100% inspection at the point of defect detection.

  • Communicate issues immediately to the source area.

  • Stop producing defective items.

  • Apply root-cause correction directly at the source.

Examples of industrial inspection

Case 1 — Automated 100% Inspection:
An automotive parts manufacturer assembles door locking mechanisms that include electrical harnesses. Since these locks are safety-critical components, the company uses an automated inspection system within the production line to perform 100% functional verification and periodic alignment checks.

Case 2 — Manual 100% Inspection:
A precision machining company produces custom-designed metal parts in small batches. Each machinist inspects their own work manually using measuring instruments to ensure full compliance with the customer’s specifications.

Case 3 — Sampling Inspection:
A transmission manufacturer performs sampling inspections on critical mechanical components. Selected parts undergo destructive testing to confirm that the manufacturing process continues to meet performance requirements.

Conclusions

There is no universal inspection method; each process and product requires a specific approach.
As shown in the examples, different inspection systems can lead to the same goal: achieving consistent quality when implemented correctly.

Quality inspection remains a cornerstone of modern manufacturing, combining human expertise, preventive control, and automation to ensure that every product meets or exceeds expectations.

Sources

Hansen, B. Quality Control: Theory and Practice

Juran, J. M. Quality Control Handbook

Juran, J. M. Quality Planning and Analysis

INC 22:80. Methodological Guidelines for Organizing and Developing Quality Inspection in Industrial Enterprises

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What is an industrial vision system? https://iarmsystems.com/what-is-an-industrial-vision-system/ https://iarmsystems.com/what-is-an-industrial-vision-system/#respond Thu, 06 Nov 2025 23:27:00 +0000 https://iarmsystems.com/?p=3347 Vision Systems What is an industrial vision system? IARM Systems June 2022 8 min. read Vision systems are one of the clearest examples of artificial

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Vision Systems

What is an industrial vision system?

Vision systems are one of the clearest examples of artificial intelligence applied to industry, allowing automated inspection, error detection, and process optimization along production lines.

What is a vision system?

A vision system is a technology that enables the inspection of parts or components on a production line through imaging. By detecting visual defects, it enhances accuracy, consistency, and overall process efficiency.

Artificial vision systems

Artificial vision combines hardware and software to analyze and process images with a level of precision far beyond the human eye. These systems extract critical information from each image, allowing machines to detect anomalies and take corrective actions automatically.

Through algorithms and image processing tools, vision systems provide insights that help identify, measure, and control quality parameters in real time—creating a bridge between automation and intelligent manufacturing.

Vision systems in manufacturing

In manufacturing, machine vision goes beyond simple image capture. It integrates multiple branches of engineering, including automation, mechanics, and industrial control systems.

These systems acquire and process images to control production equipment—sending commands, verifying conditions, or triggering automated actions. This integration reduces cycle time, automates inspection tasks, and ensures that every product meets the required quality standards.

Keyence vision sensors

The brand Keyence offers a wide range of sensors designed for different industrial applications: photoelectric, fiber optic, laser, inductive, and positioning sensors, among others. In this case, we focus on vision sensors.

Keyence vision sensors combine a camera and lighting system to capture high-resolution images capable of detecting multiple objects with great stability. Their built-in AI algorithms simplify setup and enable stable, reliable detection—even for users without advanced programming knowledge.

These sensors are ideal for inspection and detection applications, providing an accessible yet powerful solution for modern production environments.

Cognex vision systems

When it comes to machine vision, Cognex is one of the leading companies worldwide. Their portfolio ranges from basic vision sensors to complex 3D vision systems designed for high-performance industrial automation.

The choice of system depends on the specific application—factors such as processing speed, required resolution, device size, and whether 2D or 3D imaging is needed.

Cognex offers its own vision software, VisionPro, which allows users to configure parameters and implement both 2D and 3D applications intuitively. This makes it possible to deploy advanced inspection systems without complex programming.

Main components of a vision system

A vision system typically includes: Light sensor, Illumination unit, Lens, Image processor, Communication interface.

Proper lighting is essential—ensuring that the camera captures detailed images. The light sensor converts the optical signal into digital data for processing.

While digital I/O communication is common, modern systems increasingly use industrial protocols such as PROFINET, which allow faster and more reliable data exchange across connected automation devices.

Applications of machine vision

The range of industrial vision applications continues to expand. Among the most common is defect detection, where these systems identify flaws invisible to the human eye. This enables 100% inspection of all products, ensuring full compliance with quality standards.

Vision systems are also widely used in metrology, enabling precise, contactless measurements without the need for complex instruments.

Another major use is data extraction through code reading—including barcodes, QR codes, or printed text. Modern vision systems can read codes at very high speeds, regardless of font type, size, or color, ensuring full traceability within the production process.

Conclusions

Today, machine vision systems are indispensable across industrial sectors. Their ease of use, precision, and affordability make them essential for quality assurance and process automation.

Although not a new technology, continuous improvements in speed, AI algorithms, and hardware have made vision systems more powerful and accessible than ever—paving the way for smarter, more efficient production lines.

Sources:
https://www.cognex.com/what-is/machine-vision/what-is-machine-vision
https://www.keyence.com.mx/products/sensor/vision-sensor/

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