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Machine Vision solutions

Roima solutions

Machine vision can improve the quality of goods and services, streamline processes, and enable new, innovative products.

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Smarter vision for smarter operations

Machine Vision transforms how businesses ensure quality, automate processes, and unlock new efficiencies. At Roima, we combine cutting-edge vision technology with deep industry expertise to deliver solutions that do more than see – they understand, adapt, and improve your operations. Whether you're optimizing logistics, fine-tuning manufacturing, or driving digital integration, our Machine Vision solutions are built to deliver precision, performance, and real value from day one.

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What is Machine Vision?

Machine vision is like giving eyes to a machine. It uses cameras and computers to “see” and understand what’s happening visually, just like humans use their eyes and brains. But machines can do it faster, more accurately, and without getting tired.

For example, in a factory, a machine vision system can check every product on a conveyor belt to ensure nothing is broken or missing, like spotting a cracked bottle or a missing label. In a hospital, it might help scan barcodes on medication or track surgical tools.

Thanks to smart software (like artificial intelligence) and high-quality cameras, machine vision can work in very tough environments, like inside noisy factories or under poor lighting. It helps businesses improve quality, reduce mistakes, and automate tasks that used to be done by people.

Machine vision = Cameras + Processing + Intelligence

It involves using cameras or sensors to capture images and then software (often with AI or deep learning) to analyze those images for decision-making.

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Roima’s approach to Machine Vision

Roima’s machine vision offering goes beyond hardware installation. We work as a long-term partner to design, configure, and integrate the right solution for your process and production needs. Our services include:

  • Feasibility studies and proof-of-concepts
  • Technology selection and proof-of-concept
  • Turnkey solution delivery
  • Integration with MES, SCADA, ERP, WMS, or automation systems
  • AI and deep learning-powered vision applications
  • Ongoing support, maintenance, and optimization

Our deep knowledge of manufacturing and logistics processes ensures your machine vision system becomes a seamless part of your operations, adding real value from day one.

Roima’s expertise in machine vision includes image processing algorithms, machine learning, deep learning, and various tools related to these technologies. We keep ourselves up-to-date on the latest advances in related technologies and actively implement them in our projects.

Key benefits of Machine Vision

Machine vision brings significant value across industries by enhancing inspection processes, increasing production efficiency, and enabling smart automation. Below are the core benefits that make machine vision a critical asset in modern operations.

Improved quality control

Detects defects, deviations, or irregularities with greater consistency than the human eye, spotting issues like missing labels or microscopic cracks even at high speeds.

Increased speed and throughput

Processes thousands of items per minute, significantly accelerating inspection and production cycles without compromising quality.

Higher accuracy and precision

Performs micron-level measurements ideal for high-stakes applications like microchip, circuit board, or medical device inspection.

Enables automation

It supports robotic guidance and automated sorting, reducing manual labor in repetitive or hazardous tasks, such as guiding robotic arms with high precision.

Reduced operational costs

Cuts long-term costs by minimizing rework and scrap, lowering labor needs, and preventing defective products from reaching customers.

Data collection for analytics

Captures and logs visual data that can be used for trend analysis, process optimization, and predictive maintenance.

Standardization and compliance

Ensures consistent product quality and supports compliance with industry regulations in sectors like food, pharmaceuticals, and electronics.

Improved workplace safety

It reduces the need for human involvement in dangerous, high-speed, repetitive or high-temperature environments, protecting workers and minimizing accidents.

Machine Vision integration

Machine Vision becomes even more powerful when integrated with broader digital systems. By connecting visual intelligence with operational data, businesses can automate, optimize, and scale more effectively.

Machine Vision in Logistics & WMS

Used for automated sorting, barcode reading, package inspection, and tracking. When integrated with a Warehouse Management System (WMS), it enhances inventory accuracy and speeds up fulfillment.

Machine Vision and MES

Feeds real-time quality and production data into the Manufacturing Execution System. Enables smarter decision-making, better traceability, and faster responses to quality issues on the shop floor.

Machine Vision and SCADA

Adds a visual layer to SCADA by providing live inspection data and visual triggers. Useful for condition monitoring, safety alerts, and process validation in automated control systems.

Machine Vision and IBP

Supports Integrated Business Planning by supplying accurate production and quality data. Helps align operational reality with supply chain forecasts and strategic planning.

Machine Vision and ERP

It closes the loop by sending inspection and tracking data into ERP systems. It supports end-to-end transparency from production to inventory, sales, and customer delivery.

Machine Vision across industries

Machine vision enhances accuracy, speed, and automation across diverse industries. From quality control in manufacturing to safety and tracking in logistics and healthcare, it helps organizations streamline operations, reduce errors, and improve decision-making.

Discrete Manufacturing

Machine vision enables part and surface inspection, assembly verification, and robotic guidance for precision tasks. This supports zero-defect manufacturing, reduces downtime through early error detection, and increases automation and throughput.

 

Food and Beverage

Label and packaging inspection, fill level verification, foreign object detection, and expiry date reading ensure food safety and compliance. These capabilities reduce waste and enhance brand quality with consistent, reliable packaging.

 

Forest and Paper

Visual inspection of paper surfaces, automated wood grading, and precise sheet or board measurement help reduce material waste, improve grading consistency, and support quality-based sorting and classification.

 

Hospitals

Barcode reading on wristbands and medications, surgical tool tracking, and lab sample ID improve patient safety, reduce workflow errors, and streamline medical inventory and supply chain processes.

 

Life Sciences (Pharma & Biotech)

Tablet inspection, label and fill-level verification, and sterile packaging checks ensure regulatory compliance and high precision in clean environments and reduce the risk of product recalls.

 

Logistics and 3PL

Automated tracking, barcode and QR code reading, and dimensioning speed up order fulfillment, reduce manual errors, and provide real-time visibility into logistics operations and package flow.

 

Metals and Mining

Surface defect detection, ore classification, and conveyor monitoring increase safety, ensure consistent material quality, and minimize equipment wear through early fault identification.

 

Postal and Parcel

Automated mail and parcel sorting, address recognition, and barcode scanning result in faster, more accurate deliveries with fewer errors and reduced reliance on manual labor.

 

Process Industries (e.g. Chemicals, Oil & Gas)

Pipeline and equipment inspections, fluid level monitoring, and safety compliance checks improve operational safety, enable preventive maintenance, and lower environmental risk.

 

Public Sector

Machine vision supports traffic and crowd monitoring, infrastructure inspection, and public safety surveillance, leading to better infrastructure maintenance, increased safety, and more efficient services.

 

Retail: B2B and B2C

Shelf monitoring, customer analytics, and defect detection before shipping enhances stock visibility, reduce stockouts, improve customer satisfaction, and lower return rates due to quality issues.

 

Wholesale

Automated product identification, pallet and crate recognition, and quality checks at inbound/outbound docks enable faster handling, lower return rates, and improved traceability in bulk logistics.

 

Ready to see the difference?

Let’s bring intelligent vision to your operations. Whether you’re exploring automation, improving quality control, or integrating vision into complex systems, Roima is your expert partner, from concept to implementation and beyond.

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FAQ Machine Vision

What is Machine Vision?

Machine Vision is a technology that enables computers to ”see” and interpret visual information, just like a human, but faster, more consistently, and with greater precision. It combines cameras, lighting, and image processing software to capture and analyze images. This allows systems to inspect, measure, or guide actions in real time, most often in industrial or automated environments.

How does Machine Vision work?

A Machine Vision system captures images using cameras, often with precise lighting to highlight specific features. Then, software analyzes the images using algorithms (rule-based or AI-based) to detect patterns, measure dimensions, or identify defects. Finally, it sends results or triggers actions, like accepting or rejecting a product.

What are the types of Machine Vision?

  • 2D Vision: This is used for basic shape, size, and contrast detection. It is common in label or surface inspections.
  • 3D Vision: Adds depth perception. Useful for shape validation, robotic picking, and guidance, and volume measurements.
  • Multispectral/Hyperspectral Vision: Captures data beyond visible light, identifying material properties or hidden defects.
  • Thermal Vision: Detects heat signatures. Used in electronics, safety monitoring, and predictive maintenance.

How are Machine Vision systems used?

Machine Vision is used for:

  • Quality inspection (e.g., scratch detection, component presence)
  • Measurement and gauging (e.g., verifying dimensions)
  • Identification (e.g., reading barcodes or QR codes)
  • Guidance (e.g., positioning a robot arm)
  • Sorting (e.g., by size, shape, or color)

How is Machine Vision used with AI?

AI, especially machine learning and deep learning, enhances Machine Vision by enabling systems to learn from data rather than relying solely on fixed rules. This allows Machine Vision to detect complex or variable features, adapt to changes, and make smarter decisions over time. It’s particularly powerful in dynamic or unpredictable environments where traditional rule-based systems fall short. AI can unlock previously unattainable use cases alone or in combination with rule-based systems.

What is the role of Machine Vision in robotics?

Machine Vision acts as robots’ ”eyes.” It helps them understand their surroundings, locate objects, and make precise movements. For example, in robotic picking, Machine Vision helps a robot identify, locate, and grip an object, even in a random position. Machine Vision can also further improve a robot’s positioning accuracy.

What is the difference between Machine Vision and Computer Vision?

  • Machine Vision: Industrial-focused, real-time, and often integrated with automation systems. Typically includes imaging and processing hardware and software.
  • Computer Vision: This broad field includes consumer and research applications (e.g., face recognition and medical imaging) where the focus is on image processing software algorithms.

Think of Machine Vision as a specialized and extended branch of Computer Vision, where systems are built for industrial environments while applying appropriate hardware.

What’s the difference between rule-based and AI-powered Machine Vision?

  • Rule-based: Uses fixed rules like “if size < X, reject.” Great for predictable and controlled environments. Output is possible to understand through these fixed rules and can be adjusted with suitable parameters.
  • AI-powered: Uses training data to recognize patterns and make decisions. Ideal for complex or variable conditions (like fabric wrinkles or organic materials and shapes). Output is controlled mainly by teaching data and its quality.

What types of Machine Vision systems are there, and what can they do?

  • Smart Cameras: All-in-one devices that include lens, processor, and software. Simple to install and configure for applications with low to medium complexity.
  • PC-based Systems: More powerful and customizable, used for complex applications needing high processing power.
  • Embedded Vision Systems: Compact and cost-effective, used in smart devices or edge applications. Ideal for highly customized high-volume solutions.

Each system type is chosen based on speed, complexity, cost, and integration needs.

What kind of defects can Machine Vision detect?

Almost anything you can see with the human eye – scratches, dents, color mismatches, missing parts, incorrect labels, or poor alignment. It can detect invisible defects using special imaging, such as infrared or 3D scanners.

How accurate is Machine Vision?

Machine vision systems are extremely accurate, often more so than human inspectors. With the proper lighting, camera resolution, and algorithms, you can achieve micron-level precision and eliminate human error from the inspection process. If accuracy is considered performance, machine vision systems far surpass human capabilities in classification accuracy, detection resolution, and processing speed.

What does Machine Vision typically do?

  • Inspects parts/products on a production line
  • Measures dimensions or detects defects
  • Reads barcodes, QR codes, or text (OCR)
  • Identifies and tracks objects
  • Guides robots or equipment based on visual cues

Where is Machine Vision used?

  • Manufacturing: Quality control, defect detection
  • Food & Beverage: Checking packaging, fill levels
  • Logistics: Code and markings reading, dimensioning
  • Pharma: Verifying labels, tablet counting
  • Automotive: Inspecting welds, assemblies
  • Electronics: PCB inspection, component placement

Produkter og løsninger

Roima Machine Vision

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