Machine vision: the eyes of automation

A machine vision system is exactly what it sounds like – the eyes of a machine. It utilizes machine vision cameras, smart cameras, and high-resolution sensors to capture digital images, which are then processed by vision software and algorithms for object recognition, barcode reading, and pattern recognition.

The process begins with a light source illuminating the subject, followed by frame grabbers capturing high-speed images. These digital images undergo image analysis and vision processing through deep learning and artificial intelligence, enabling real-time decision-making. Businesses use machine vision technology across various industrial applications to enhance product quality, minimize downtime, and optimize the manufacturing process.

Machine vision work in real-world applications

Machine vision systems power automation in diverse industries. Here are some key use cases:

• Automotive Industry: Machine vision applications assist in quality control, ensuring precise component placement, detecting defects, and verifying barcode labels on parts.

• Healthcare and Pharmaceuticals: Machine vision aids in visual inspection of medical devices, x-ray imaging analysis, and OCR (Optical Character Recognition) for drug packaging.

• Industrial Automation: Machine vision systems enable robotics for assembly lines, line scan imaging for rapid defect detection, and 3D vision for accurate part measurements.

• Warehousing and Logistics: Barcode reading and smart cameras automate tracking, reducing errors in the production line and enhancing efficiency.

• Food and Beverage: Machine vision detects contaminants, monitors freshness, and ensures packaging accuracy.

Examples of machine vision solutions

‘IKE Solutions, based in Hawaii, has created a solution used by the fishing industry and fisheries management agencies. The cameras and sensors safely collect data on fishing boats while they are at sea to monitor fishing activity. This solution and technology enables better and more affordable management of fisheries  As a matter of fact, the word ‘ike means “to see” in Hawaiian and that is exactly what their solutions do. 

Datacadabra, based in the Netherlands, uses machine vision for their intelligent mowing system for roadside management called the MowHawk. The solution accurately tracks the mower’s location and detects whether the mowed grass contains invasive plant species and/or litter. These insights facilitate disposal of the grass clippings to reduce processing costs and create a more sustainable environment.

Artemis Vision, based in Colorado, uses this technology for their quality control inspection, dimensioning, and smart logistic solutions. Their inspection solutions help eliminate the need for manual monitoring and inspection. Their accurate vision solutions can help to reduce scrap rates and ensure customer satisfaction. 

Artemis Vision’s smart logistic solutions use machine vision to automatically scan and track barcodes on pallets as they pass through warehouse checkpoints like dock doors. This solution eliminates slow and error-prone manual scanning and facilitates a smooth supply chain. It ensures delivery of products to the right destination at the right time in good condition.  

Quality control with machine vision systems

Machine vision systems revolutionize quality control by automating visual inspection and ensuring high-quality standards. Unlike the human eye, which is prone to fatigue, machine vision cameras operate in real-time, detecting microscopic defects and ensuring consistency in product quality.

For example, inspection systems equipped with area scan cameras can rapidly scan surfaces for defects, while pattern recognition identifies irregularities in packaging. In robotics, machine learning enhances defect detection accuracy over time.

Automation and robotics with machine vision

Automation and robotics rely heavily on machine vision for performing precise, repetitive tasks. From guiding robotic arms in assembly lines to facilitating barcode reading in logistics, machine vision systems streamline operations.

In industrial automation, computer vision enables object recognition for sorting, while deep learning enhances vision processing for real-world applications. The combination of artificial intelligence and vision software creates high-speed automated workflows with minimal downtime.

Benefits of machine vision applications

A well-implemented  machine vision solution offers  numerous advantages, including:

• Enhanced productivity for repetitive visual tasks

• Increased accuracy in image processing and decision-making

• Advanced capabilities beyond the human eye, such as 3D vision

• Improved safety by placing sensors in dangerous locations

• Reduced production costs with early defect detection

• Higher product quality through automated quality control

OnLogic hardware: powering machine vision solutions

OnLogic industrial and rugged computing systems provide the ideal foundation for machine vision applications. Our compact solutions withstand industrial automation challenges,  including dirt, dust, vibration, extreme temperatures and your unique power requirements. Our platforms support high-speed image analysis, frame grabbers, and vision processing for machine vision cameras and inspection systems.

Whether you’re optimizing a production line, automating barcode reading, or improving healthcare diagnostics, our hardware meets the demands of machine vision technology. Ready to enhance your vision? Contact our technical sales team to discuss your needs and make your machine vision project a reality.