Before any machine existed, quality was always checked by a human. Imagine a scene from one hundred, two hundred, or even thousands of years ago: a farmer or a worker sitting at a table, running grain through their hands, picking out with their eyes what should be discarded: a stone, a damaged kernel, a remnant of husk. It was monotonous, eye straining, and incredibly time consuming work, but for centuries, it was the only available method for ensuring quality.

Manual selection had one fundamental weakness: it depended on human perception, and perception is fickle. Fatigue, poor lighting, and the monotony of repetitive movements all impacted effectiveness. Despite this, this method lasted longer than any other and still functions today in many parts of the world where the scale of production does not justify the investment in automation.

The First Mechanical Attempts: The Power of Physics to the Rescue

The Industrial Revolution brought the first attempts at mechanizing selection: sieves, shakers, and gravity separators that utilized differences in weight, density, and size. This was a huge leap forward in terms of efficiency, but it was still very limited. These machines could distinguish big from small or heavy from light, but they had no concept of color, surface defects, or internal damage. Furthermore, a human was still needed as the final line of quality control.

1947 – The Birth of Optical Sorting

The breakthrough came in the mid-20th century when engineers began experimenting with photocells – simple sensors that reacted to light. The first devices of this type, used mainly in the food industry (e.g., for sorting beans or peas), worked on a very basic principle: they detected the difference in hue between a “good” product and a darker contaminant, after which a stream of air removed the unwanted element from the line.

This was the moment when, for the first time, a machine began to “look” at the product, rather than just reacting to its mass or size. Photocells were primitive compared to today’s systems. They recognized mainly black and white contrast or simple shade differences, but conceptually, they opened the door to everything that followed.

The Era of Cameras and Digital Image Processing

The 1980s and 90s were a time when the development of electronics and computer science enabled the use of real cameras in sorting processes. Instead of a single photocell reacting to one parameter, machines began to “see” the entire image of the product – its color, contour, and surface texture. Computers, though still computationally limited by today’s standards, were already able to analyze images in real-time and make decisions dozens of times per second.

It was at this stage that optical sorting began to resemble the technology we know today: line scan cameras, lighting with specific characteristics, and pneumatic nozzles removing contaminants with incredible precision. The food industry, fruit and vegetable processing, and the recycling industry all began to discover that a machine could perform the work of many pairs of human eyes simultaneously, without losing concentration after an eight hour shift.

Seeing Beyond the Human Eye

The next step was to go beyond what a human sees. The introduction of cameras working in Near Infrared (NIR), as well as multispectral and hyperspectral technology, allowed machines to detect differences invisible to the human eye, such as internal product damage, early stages of mold, or differences in chemical composition and moisture. The sorter was no longer just a “better eye,” but an analytical tool that provided information previously unattainable in any other way.

This was the moment when optical sorting stopped competing with humans on the same terms and began offering a completely new level of control. Unattainable before, regardless of an employee’s experience or attention.

Artificial Intelligence and Machine Learning

The latest, ongoing revolution is the entry of machine learning algorithms. Earlier systems operated on rigidly programmed rules: “if the pixel is darker than value X, reject the object.” Today’s systems, based on neural networks, “learn” from thousands of examples, recognizing patterns too complex to describe with a simple rule.

As a result, a machine can, for example, learn to distinguish a natural, acceptable discoloration from a defect that requires rejection. It is a level of discrimination that previously required an experienced human eye. Moreover, these systems can be trained in real time, adapting to a changing batch of raw material or a new type of contaminant that has never appeared before.

From Sifting Stones to Millisecond Decisions

Looking at this history from a distance, a clear line of development emerges: from physical separation, through simple contrast detection, to intelligent systems that analyze images in a spectrum inaccessible to the human eye and make decisions at a speed impossible for a human to achieve. Each stage of this evolution answered the same question the farmer sifting grain through their hands asked: how to separate the valuable from that which should not move forward. The fundamental difference is that machines can do it faster, more precisely, and without fatigue.

What began as a simple necessity is now one of the most advanced fields of industrial automation, combining optics, electronics, and artificial intelligence into one smoothly operating process.

Modern Technologies Serving Optical Sorting

What started as a simple optical electrostatic setup has evolved over the decades into increasingly advanced systems:

• Color cameras and line-scan cameras replaced simple sensors, enabling the detection of much subtler color and texture differences.
• Near Infrared (NIR) technology allowed machines to “look” under the surface of the product to detect moisture, chemical composition, or damage invisible to the naked eye.
• Hyperspectral cameras expanded the detection range to dozens or even hundreds of light bands simultaneously.
• Maglev ejectors – beyond cameras, the ejection itself matters. Modern air systems precisely remove defective particles from the stream without wasting good material.
• Artificial Intelligence and Deep Learning technology, present in the latest generations of sorters, allow the machine to independently “learn” to recognize new types of defects based on thousands of analyzed images, without the need for manual programming of every parameter.

Summary

The history of sorting is, in essence, the history of gradually transferring one human skill to machines: first strength and endurance, then sight, and today, the ability to learn and make decisions. From a single worker sifting grain by hand, through mechanical sieves, photocells, and cameras, to systems utilizing artificial intelligence and precision air ejectors. Every stage of this journey answered the same question: how to distinguish good from defective faster, more accurately, and on a larger scale. What began as a purely human task has today become one of the most technologically advanced fields of industrial automation.

The post A Brief History of Sorting: From Manual Selection to Artificial Intelligence appeared first on Meyer Europe.

From 19–22 May, Plastpol 2026 took place in Kielce, once again confirming its position as one of the most important meeting points for professionals from the plastics and recycling industries in Central Europe.

Throughout the exhibition, the MEYER Europe stand welcomed a steady flow of visitors, creating an excellent opportunity to exchange ideas, discuss current market developments and explore the growing role of optical sorting technologies in modern recycling processes.

One of the highlights for our team was the opportunity to host representatives of the Polish Recycling Association. We were delighted to welcome them to our stand and greatly appreciated the opportunity to discuss the future of recycling and the challenges facing the industry today.

What made this year’s event particularly rewarding was the diversity of visitors. We had the pleasure of meeting many new customers who were looking for innovative sorting solutions, while also reconnecting with long-standing partners, industry colleagues and friends from across the recycling sector.

Events such as Plastpol remind us that technology is only part of the story. Progress is built through conversations, shared experiences and strong industry relationships. We would like to thank everyone who visited the MEYER Europe stand and contributed to making this year’s exhibition such a successful and memorable event.

We look forward to continuing the discussions started in Kielce and to seeing many of you again soon.

The post Plastpol 2026 Brought the Industry Together appeared first on Meyer Europe.

Do you have specific materials you would like to test? Let us know in advance and we will be happy to prepare and showcase them during the event.

Our team will be there to answer your questions, discuss your needs, and of course invite you for a cup of great coffee.

See you in Amsterdam!

The post See MEYER Optical Sorting in Action at PRSE 2026 appeared first on Meyer Europe.

Immediate cost considerations

Traditional manual sorting operations typically require extensive labor forces, with multiple workers stationed along conveyor belts to identify and remove defective or unwanted items. While the upfront costs are minimal, the ongoing expenses are significant:

Traditional sorting annual costs:

• Labor wages and benefits for sorting staff
• Training and supervision expenses
• Quality control oversight
• Workplace injury-related costs
• Production line slowdowns

In contrast, optical sorting systems represent a substantial initial investment, often ranging from € 30,000 to € 400,000 per unit. However, this technology brings immediate reductions in operating costs and staffing requirements.

Efficiency and productivity gains

Optical sorting machines can process even several tons of material per hour, depending on the type of material and its level of contamination, significantly outpacing manual sorting methods. This increased throughput translates to:

• Higher production capacity without additional shifts
• Reduced labor costs per unit processed
• Consistent quality standards across all production hours
• Minimal downtime for breaks or shift changes
• 24/7 operation capability with minimal supervision

Quality Improvements and waste reduction

Modern optical sorters utilize advanced imaging technology and artificial intelligence to achieve sorting accuracy rates exceeding 99%. This precision leads to:

• Decreased product rejection rates
• Reduced customer complaints and returns
• Lower waste handling costs
• Improved raw material utilization
• Enhanced brand reputation through consistent quality

Return on investment analysis

A typical medium-sized processing facility can expect to recover its investment within 12-24 months through:

Direct Cost Savings:

• 70-80% reduction in sorting labor costs
• 40-50% decrease in quality control expenses
• 25-30% reduction in waste handling costs

Revenue Improvements:

• 15-20% increase in throughput capacity
• 15-30% improvement in product quality
• 20-40% reduction in customer returns
• 5-30% lower loss of good product in final reject

Long-term strategic benefits

Beyond immediate financial returns, optical sorting technology positions companies for future success through:

• Increased competitiveness in quality-sensitive markets
• Improved ability to meet stringent regulatory requirements
• Enhanced data collection for process optimization
• Reduced dependency on labor market fluctuations
• Greater flexibility in processing various product types

Implementation considerations

To maximize return on investment, companies should:

• Conduct thorough analysis of current sorting costs
• Evaluate multiple vendor options and technologies
• Plan for appropriate staff training and transition periods
• Consider maintenance and upgrade requirements
• Implement proper material handling systems

Conclusion

While the initial investment in optical sorting technology may appear daunting, the financial analysis clearly demonstrates its value proposition. Companies that make this transition typically see complete return on investment within two years, followed by sustained operational cost savings and quality improvements that contribute directly to bottom-line profitability.

For food processors and recycling operations seeking to remain competitive in increasingly demanding markets, the question is no longer whether to upgrade to optical sorting technology, but rather when and how to implement this transformative solution most effectively.

The post Why upgrading to optical sorting machines pays off? appeared first on Meyer Europe.

SMEs in the recycling industry often face challenges such as limited processing capabilities, higher operational costs, and difficulty in maintaining consistent quality compared to large-scale facilities. Industry giants benefit from economies of scale, extensive resources, and advanced equipment, leaving smaller recyclers struggling to remain competitive.

Optical Sorting: a game-changer in recycling industry

Optical sorting systems represent a significant technological advancement capable of transforming recycling operations. These systems use near-infrared (NIR) spectroscopy, high-resolution cameras, and artificial intelligence algorithms to quickly and accurately identify, classify, and separate recyclable materials. For SMEs, integrating optical sorting systems offers multiple strategic advantages:

1. Enhanced Efficiency and Throughput: Optical sorting systems increase processing speed dramatically. SMEs can process larger volumes of recyclables in less time, reducing operational bottlenecks and increasing revenue potential.
2. Improved Material Purity: Achieving higher purity levels in recyclables makes products more attractive to buyers, enabling SMEs to command higher prices for their sorted materials.
3. Reduced Operational Costs: Automated sorting reduces manual labor costs and minimizes downtime, allowing SMEs to reallocate resources toward other critical areas such as marketing, customer relationships, and expansion strategies.
4. Scalability and Flexibility: Optical sorting systems are adaptable and can be scaled based on business growth, allowing SMEs to expand operations incrementally without substantial initial investments.

Strategies for Implementing Optical Sorting Effectively

To successfully leverage optical sorting technology, SMEs should adopt these practical strategies:

• Invest in Scalable Systems: Choose optical sorting solutions that can easily scale with your business growth to ensure long-term value.
• Prioritize Training: Provide comprehensive training for employees on the operation and maintenance of optical sorting equipment to maximize efficiency and longevity.
• Focus on Specialized Recycling Streams: Differentiate your business by focusing on niche recycling areas that large-scale competitors may overlook, using optical sorting technology to maintain high quality and purity standards.
• Leverage Data Analytics: Use integrated data analytics tools in optical sorting systems to optimize sorting operations, monitor performance, and make informed business decisions.

Conclusion: Embracing the Competitive Advantage

For SMEs in the recycling sector, optical sorting technology is more than just an investment in equipment—it’s an investment in sustainable growth, competitive advantage, and operational excellence. By strategically adopting this technology, smaller recyclers can effectively compete with industry giants, driving growth and securing their future in the recycling market.

Embrace optical sorting, and turn challenges into opportunities.

The post How optical sorting helps small and medium-sized recyclers compete with industry giants appeared first on Meyer Europe.

In a space filled with machinery, technologies, and innovations, we focus on one thing. Smart, precise sorting solutions that make a real difference in your process and final product quality.

Step in, take a closer look, and let’s talk. Whether you are improving your current setup or planning something new, we’re here to share ideas, experience, and practical solutions tailored to your needs.

Because for us, it’s never just about machines.
It’s about understanding your process and making it better.

March 26–28, 2026
VMU Agriculture Academy, Lithuania
Marguciai stand – Sector D, Booth D19

Come by, meet the team, and see how sorting creates real value.

MEYER. Sorting creates values.

The post Meet MEYER Europe at “Ką pasėsi… 2026” – Let’s Talk about Sorting appeared first on Meyer Europe.

Today is a moment to reflect on how we approach resources. What we often call “waste” still holds value. It simply needs to be recognized, separated, and given a second life. This is where modern technologies play a crucial role. Optical sorting, working quietly in the background of recycling processes, makes it possible to identify materials with precision, improve recovery rates, and ensure higher quality of recycled outputs.

Thanks to continuous advancements in intelligent recognition systems, recycling is becoming more efficient, more accurate, and more scalable than ever before. These innovations support industries in reducing waste, saving resources, and minimizing environmental impact.

On this day, we would like to extend our best wishes to everyone contributing to a more sustainable world. From individuals making conscious choices to companies investing in smarter technologies. Every action matters, and every step forward brings us closer to a cleaner, more efficient future.

Let’s continue working together. Seeing value where others see waste, and building a better tomorrow through smarter recycling.

The post Global Recycling Day: Together for a Greener Tomorrow appeared first on Meyer Europe.

What can you expect?

• Live demonstrations – see how the actual separation process of different materials looks like.
• MEYER experts on-site – our engineers and consultants will be happy to answer any questions during the trade show.
• Catalogs and samples – at our booth you will be able to see real examples of material sorting for our customers and browse through MEYER catalog.

And in addition… delicious freshly brewed coffee and a moment to relax at our stand.

When? – 8–15 October 2025
Where? – Düsseldorf, Germany
Booth – Hall 12 / Stand D18

The post The MEYER team will be present at K-SHOW 2025! appeared first on Meyer Europe.

• Enhanced Accuracy: Clean and calibrated sensors detect defects or foreign materials more accurately.
• Lower Downtime: Regular maintenance prevents unexpected breakdowns, saving time and repair costs.
• Extended Equipment Life: Well-maintained machines last longer, ensuring a better return on investment.

According to a study published by the Journal of Food Engineering, regular calibration directly impacts the precision of defect detection in food sorting applications.

2. Daily, Weekly, and Monthly Maintenance Checklist

Sticking to a structured maintenance schedule helps keep your optical sorter at peak efficiency. Below is a brief table outlining essential tasks and their recommended frequencies:

2.1. Cleaning the Optical System

• Automatic cleaning system:  The cameras are housed in an isolated environment, protecting them from dust and contamination. They do not require manual cleaning, as the glass in front of them is automatically wiped when needed. The cleaning frequency adjusts dynamically based on the dust levels in the processed material, ensuring optimal visibility and performance at all times.
• Follow Manufacturer Guidelines: Some systems may require specific cleaning solutions.

2.2. Inspecting the Mechanical Components

• Check Belts and Conveyors: Worn-out belts or improperly tensioned conveyors can cause misfeeds.
• Look for Vibrations: Unusual vibrations often indicate loose parts or misalignments.

3. Calibration Best Practices

Calibration ensures that your optical sorter’s sensors, cameras, and lighting systems function cohesively to accurately detect and remove defective items.

3.1. Reference Samples

• Create a Standard Set: Use known “good” and “bad” samples to benchmark sensor accuracy.
• Automate When Possible: Automated calibration routines built into the sorter’s control system can standardize results.

3.2. Environmental Controls

• Monitor Ambient Light: Extraneous light can trick optical sensors, so maintain stable lighting conditions.
• Manage Temperature and Humidity: Fluctuations can alter sensor readings and impact performance.

3.3. Software Calibration

• Regular Software Updates: Manufacturers frequently release patches that improve detection algorithms.
• Backup and Version Control: Always keep a backup of your current configuration before making adjustments or upgrades.

According to ISO 9001:2015 quality management guidelines, consistent calibration procedures significantly reduce error rates in automated inspection systems.

4. Performance Monitoring and Data Analysis

Collecting and analyzing performance data enables you to identify trends and potential issues before they become major problems.

1. Real-Time Monitoring: Modern optical sorters offer dashboards displaying sorting efficiency, rejection rates, and error logs.
2. Periodic Audits: Conduct audits every few weeks to compare output against quality benchmarks.
3. Trend Analysis: Use collected data to detect gradual sensor drift, which is a sign that recalibration might be needed.

Pro Tip

Integrating your sorter with a data logging system (such as a Supervisory Control and Data Acquisition, or SCADA, tool) provides detailed insights into sorting trends and helps in predictive maintenance planning.

6. Frequently Asked Questions

Q: How often should I calibrate my optical sorter?
A: Most manufacturers recommend monthly checks, but the frequency can vary based on operating hours, product type, and environmental conditions.

Q: Is it necessary to replace sensors periodically?
A: Sensors often last several years, but if you notice recurring calibration issues or reduced accuracy, consult the manufacturer about potential replacement.

Q: Can I perform maintenance tasks without professional assistance?
A: Routine tasks like cleaning and basic inspections can be done in-house. However, more complex procedures—like advanced sensor calibration or mechanical overhauls—may require a qualified technician.

Conclusion

Regular maintenance and proper calibration are the cornerstones of optimal optical sorter performance. By following a strict maintenance schedule, controlling your environment, and staying updated with software and industry standards, you can significantly boost sorting accuracy and prolong the life of your equipment. Taking a proactive approach to care and calibration not only minimizes downtime but also ensures you consistently meet high-quality standards.

Disclaimer: Always refer to your optical sorter’s specific operating manual for detailed instructions and safety guidelines. For in-depth maintenance or critical calibration tasks, consult the manufacturer or a certified service technician.

Additional Resources and References

Below are a few resources for deeper insights:

• Books:
  • Food Processing Technology: Principles and Practice (P. Fellows) – Offers a comprehensive look at food processing equipment.
  • Sorting and Grading of Agricultural Materials (M. Kutz) – In-depth on equipment design and maintenance.
• Studies and Standards:
  • International Journal of Advanced Manufacturing Technology – Features articles on manufacturing and sorting technologies.
  • ISO 9001:2015 Guidelines – Discusses quality management systems, including calibration processes.

The post Maintenance and Calibration Best Practices for Optimal Optical Sorter Performance appeared first on Meyer Europe.

1. Regulatory Compliance
   Organizations such as the U.S. Food and Drug Administration (FDA) and the European Medicines Agency (EMA) impose rigorous standards to safeguard drug safety. Optical sorting plays a critical role in helping companies comply, as its automated systems can quickly detect and remove inconsistencies, thereby minimizing the risk of releasing substandard products.
2. Consumer Safety
   Even minor variations—like discoloration, surface defects, or slight contamination—can compromise patient safety. Optical sorting offers high-resolution inspections and real-time rejections to prevent defective products from reaching end users.
3. Brand Protection
   The pharmaceutical sector is unforgiving when it comes to recalls and quality scandals; reputational damage can be irreversible. By integrating reliable optical sorting solutions, manufacturers reduce the risk of costly recalls and uphold their brand’s integrity.
4. Cost Efficiency
   While optical sorting machines may require a substantial initial investment, the long-term advantages are significant: decreased labor costs, minimized recalls, reduced material waste, and streamlined operations—all contributing to a better return on investment.

Key Technologies Driving Optical Sorting in Pharma

Different sensor-based methods cater to diverse inspection needs. Below is an overview of the main technologies powering optical sorting systems, including those offered by Meyer.

Meyer, a global leader in optical sorting solutions, integrates these technologies into customizable systems that cater specifically to the pharmaceutical industry’s unique regulatory and quality demands.

Real-World Applications and Examples

Although strict confidentiality clauses often prevent disclosing detailed case studies, large-scale pharmaceutical manufacturers worldwide have reported significant improvements in operational efficiency and product purity after adopting Meyer-style optical sorting systems:

• Reduced Defect Rates: By catching color and coating defects at speeds exceeding thousands of units per minute, manufacturers have slashed batch rejection rates.
• Lower Cross-Contamination Incidents: Advanced sensors—particularly NIR and hyperspectral—help detect and segregate foreign materials, ensuring cleaner product output.
• Enhanced Traceability: Automated data logging allows production teams to quickly trace the source of any quality deviations, facilitating root-cause analysis and continuous improvement.

Key Benefits of Optical Sorting

1. High Accuracy and Speed
   Optical sorters can evaluate large volumes of products at a remarkable throughput. By setting precise inspection criteria, they significantly reduce the likelihood of human error, ensuring more consistent quality control.
2. Comprehensive Data Collection
   Modern systems record every inspection, generating real-time analytics and trends. This information helps companies make data-driven decisions to refine upstream processes and achieve continuous quality improvement.
3. Reduced Labor Costs
   Manual inspection is time-consuming and heavily reliant on individual operator skill. Automated solutions not only improve consistency but also free up human resources for higher-level tasks.
4. Regulatory Readiness
   Automated optical sorting supports meticulous documentation required by regulators. The technology logs every rejected unit and defect type, simplifying compliance audits.
5. Scalability
   Optical sorting solutions can be designed to accommodate varying production scales, from smaller pilot runs to large, continuous manufacturing lines.

Challenges and Considerations

1. Initial Capital Investment
   High-end optical sorting systems represent a substantial financial outlay. However, when balanced against savings from reduced waste, fewer recalls, and streamlined operations, the return on investment is typically favorable.
2. System Integration
   Adding a high-speed optical sorter to an existing line involves careful planning around conveyor flow, software compatibility, and physical space. Early collaboration between equipment suppliers and plant engineers can reduce bottlenecks.
3. Training and Expertise
   Operators and technicians must understand both the hardware and software components. A thorough training program is essential for maintaining high performance and quickly resolving issues.
4. Regular Maintenance and Calibration
   Sensor performance can degrade over time. Proactive maintenance routines—including cleaning lenses and recalibrating cameras—help maintain optimal accuracy.

Best Practices for Successful Implementation

1. Comprehensive Needs Assessment
   Define your inspection goals: Are you primarily concerned with contamination, color variations, or chemical composition? Understanding these needs will guide the choice of sensor technology (e.g., NIR, hyperspectral, x-ray).
2. Pilot Testing
   Running a pilot program helps teams identify real-world bottlenecks and build the business case for broader deployment. This step also provides baseline metrics for measuring ROI.
3. Seamless Software Integration
   Optical sorting solutions should integrate with existing Manufacturing Execution Systems (MES) or Enterprise Resource Planning (ERP) platforms. Automated data collection enables advanced analytics and simplifies compliance reporting.
4. Continuous Improvement
   Use data from your optical sorter to analyze defect patterns, then adjust upstream processes or machine settings. This feedback loop fosters ongoing enhancements in quality and throughput.
5. Partner with Experts
   Collaborating with a solution provider like Meyer ensures access to technical support, tailored training, and hardware configurations designed to meet the pharmaceutical industry’s rigorous demands.

Further Reading and Resources

• Books & Academic Studies
  • Pharmaceutical Quality by Design: A Practical Approach by Walkiria S. Schlindwein and Mark Gibson
  • Quality Control in the Pharmaceutical Industry (Journal of Pharmaceutical Technology)
• Regulatory Guidance
  • FDA: Current Good Manufacturing Practice (CGMP)
  • EMA: Quality Guidelines
• Professional Journals
  • Pharmaceutical Technology
  • International Society for Pharmaceutical Engineering (ISPE) Journal

Conclusion

With the pharmaceutical sector under mounting pressure to deliver safer, higher-quality products, optical sorting has emerged as a cornerstone technology. By combining high-speed automation, sophisticated sensors, and advanced analytics, these systems drastically reduce defects, enhance regulatory compliance, and ultimately protect the integrity of both products and brands.

Meyer offers robust, customizable solutions tailored to the nuanced demands of pharmaceutical manufacturing, ensuring consistent quality and efficiency at scale. By embracing optical sorting and following best practices—from pilot testing to ongoing data-driven improvements—pharmaceutical companies can forge a stronger path toward excellence, innovation, and, most importantly, patient safety.

The post Keeping Pharmaceuticals Safe and Reliable with Optical Sorting Technology appeared first on Meyer Europe.