Transforming Industry with Machine
Vision: Features and Benefits

by marketing on 7 de August de 2024

WHAT IS MACHINE VISION AND WHAT ARE ITS FUNCTIONS?

Machine vision has revolutionised the way factories and production plants operate today. It is a technology that uses advanced cameras, sensors and algorithms to perform inspection, measurement and quality control tasks with a precision and speed that surpasses human capabilities.

In this article, we will explore what machine vision is, how it works, and its applications and benefits in various industries.

DEFINICIÓN Y COMPONENTES DE LA VISIÓN ARTIFICAL

Machine vision is an automated system that uses image capture and analysis to perform various tasks within a production environment.
This system is mainly composed of cameras, sensors and image processing algorithms.

CAMERAS

2D cameras: Capture two-dimensional images, ideal for basic surface inspections.

3D cameras: Provide three-dimensional information, crucial for applications requiring depth and volume measurements.

SENSORS

Image sensors: Transform light into electronic signals to create a digital image.

Depth sensors: use technologies and radar to measure distances and create depth maps.

PROCESSING ALGORITHMS

Edge detection: Identification of contours in images.

Image segmentation: Division of the image into regions with similar characteristics.

Pattern recognition: Identification and classification of objects within an image using machine learning techniques.

HOW MACHINE VISION WORKS

CAPTURA DE IMAGEN

Cameras and sensors capture images of the products on the production line. The quality and resolution of these images are crucial for further analysis.

PROCESAMIENTO Y ANÁLISIS DE IMÁGENES

Captured images are pre-processed to improve their quality. This includes noise removal, contrast adjustment and distortion correction. They are then analysed to detect edges, segment regions and recognise specific patterns.

EXAMINATION AND CLASSIFICATION

Machine learning models are used to extract features from the elements and compare them with databases of known patterns, identifying and classifying the objects in the image.

AUTOMATIC DECISION MAKING

With the information obtained, the system can make automated decisions, such as determining whether a product is defective or whether a process needs adjustment.

CONTINUOUS IMPROVEMENT

These systems often include feedback mechanisms to continuously improve accuracy and performance by adjusting learning models and updating pattern databases.

APPLICATIONS OF MACHINE VISION IN INDUSTRY

KEY SECTORS OF APPLICATION

BEVERAGE INDUSTRY

Bottle and container inspection: Detects defects in glass and plastic bottles, ensuring that only quality containers are used.

Filling control: Ensures that each bottle contains the precise amount of liquid, reducing waste and improving product consistency.

Labelling and packaging verification: Ensures labels are correctly applied and containers are properly sealed before reaching the consumer.

FOOD INDUSTRY

Product inspection: Detects defects and contaminants in food products, ensuring the safety and quality of the final product.

Product traceability: Improves product traceability throughout the supply chain, facilitating inventory management and food safety.

CHEMICAL INDUSTRY

Container and label inspection: Verifies the integrity of containers and the correct labeling of chemical products, complying with safety standards.

Quality control of chemical products: Detects impurities and defects, ensuring that products meet the required standards.

PHARMACEUTICAL INDUSTRY

Crimp inspection: Ensures that vials meet quality standards before distribution.

Label and container verification: Ensures that medicines are correctly labeled and packaged, reducing the risk of dispensing errors.

Traceability of medicine batches: Facilitates batch monitoring throughout the supply chain, improving management and client safety.

BENEFITS OF MACHINE VISION

Automation of inspection and quality control tasks reduces downtime and increases productivity by enabling continuous and efficient production.

IMPROVING EFFICIENCY AND PRODUCTIVITY

Automation of inspection and quality control tasks reduces downtime and increases productivity by enabling continuous and efficient production.

IMPROVEMENT OF PRODUCT QUALITY

Accurate and consistent inspections ensure that products meet established quality standards, detecting defects early and ensuring that only products that meet quality criteria reach the market.

REDUCTION OF OPERATIONAL COSTS

Reducing human intervention in inspection tasks reduces associated errors and optimises human resources. In addition, early detection of defective products reduces waste and costs related to rework.

FLEXIBILITY AND ADAPTABILITY TO DIFFERENT PROCESSES

Machine vision systems are highly flexible and can be adapted to different types of products and processes, allowing companies to respond nimbly to changes in market demand and remain competitive.

CASE STUDIES AND PRACTICAL EXAMPLES

The implementation of machine vision systems in various industries has demonstrated its effectiveness in improving processes and optimising resources. Companies from different sectors have reported significant improvements in the quality of their products and the efficiency of their operations thanks to the adoption of this technology.
Machine vision has become an indispensable tool for the modernisation and optimisation of processes in various industries. Its ability to improve efficiency, quality and safety in industrial production positions it as a key technology for the future of manufacturing.

Implementing machine vision systems not only allows companies to remain competitive, but also gives them the flexibility to adapt to a constantly changing industrial environment.
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