Quality control in the meat industry | X-ray, AI and checkweighing solutions

Quality control in the meat industry: the key challenges and the most advanced technologies for ensuring safety, quality and productivity

Quality in meat processing has become an increasingly complex challenge

The meat industry is one of the most demanding food sectors when it comes to quality control.

Modern production lines process thousands of kilograms of product every hour, with highly automated processes that demand high speeds without compromising food safety, regulatory compliance or final quality.

At the same time, consumers are increasingly sensitive to product recalls, while large retailers and major brands are demanding ever stricter quality standards.

This is why quality control can no longer be limited to simple metal detection.

Today it is essential to catch increasingly complex contaminants, monitor product quality throughout the entire production process and collect data that helps to continuously improve production.

The most advanced inspection technologies now make it possible to check every stage of the line, from the carcass to the packaged product, identifying contaminants that are extremely difficult to detect while checking numerous quality parameters at the same time.

Why the meat sector needs dedicated quality control systems

Unlike many other foods, meat has physical characteristics that make inspection much more complex.

Each product may have:

• very different thicknesses;

• a high water content;

• fat content;

• non-uniform density;

• irregular surfaces;

• overlapping pieces;

• modified atmosphere (MAP) packs;

• packs with trays, clips or metal components.

All of these factors can affect the performance of traditional inspection systems.

This is why the sector requires technologies designed specifically for meat processing.

The main quality control challenges in meat

Many different problems can arise during production, each with its own characteristics.

1. Bone fragments

The most feared contaminant. During deboning or cutting, small fragments of bone can break off and become trapped in the product.

This is one of the main causes of complaints in the meat sector. The consequences can be serious:

• risk to the consumer;

• product recalls;

• claims from retail chains;

• reputational damage;

• loss of customer trust.

2. Needle fragments

A problem very specific to pork. During vaccination, animals can move suddenly, causing the needle to break.

The fragment can remain in the carcass and later migrate into the muscle. This makes it extremely difficult to find during processing.

Needles may be found in:

• carcasses;

• primal cuts;

• bulk meat;

• crates;

• MAP packs;

• cartons for distribution.

3. Foreign bodies

In addition to metals, lines can accidentally introduce:

• glass;

• ceramics;

• aluminium;

• metal clips;

• broken blades;

• damaged tools;

• fragments of cut-resistant gloves.

Many of these contaminants cannot be reliably detected with traditional technologies.

4. Quality defects

Today, quality control is not just about food safety. More and more companies require systems capable of checking:

• colour;

• shape;

• product completeness;

• fat content;

• correct weight;

• pack integrity.

The aim is to reduce waste and ensure consistent quality.

Why a metal detector alone is no longer enough

For many years the metal detector was the benchmark technology. Today, however, it has clear limitations when it comes to meat:

Product effect

Water, salt and proteins alter the electromagnetic field, making small contaminants harder to detect.

Contaminant orientation

A very thin needle may be detected in one position but not in another.

Difficult materials

Austenitic stainless steel generates very weak signals.

No bone detection

The most significant limitation.

A metal detector cannot detect bone fragments, which are one of the main challenges in meat processing.

The evolution: intelligent X-ray systems

Modern X-ray systems have completely changed the way quality control is approached.

Today, a system does far more than just "take an X-ray". It simultaneously integrates:

• ultra-high-definition imaging;

• artificial intelligence algorithms;

• automatic recognition software;

• real-time image processing.

The result is significantly higher detection capability.

Needle fragments: how artificial intelligence raises the level of safety

Needle detection is one of the most sophisticated applications. Latest-generation systems combine:

• UHD imaging

• Ultra-high-definition sensors make even sub-millimetre fragments visible.

• AI trained on thousands of real cases

• The algorithms learn to recognise the characteristic profile of a needle, even when it is partially hidden.

• High immunity to interference

Performance remains high regardless of:

• fresh meat;

• frozen meat;

• product thickness;

• fragment orientation;

• the presence of bone;

• the presence of other metal elements.

This enables extremely reliable detection even on very complex products.

Bone fragments: the real challenge for the meat industry

Not all bones are the same. They vary in:

• density;

• size;

• shape;

• depth;

• position.

Some are completely embedded in the meat. Others are surrounded by fatty tissue. Others still lie close to other bone structures.

This is why simply increasing X-ray power is not enough. What is needed is a technology capable of distinguishing between materials with very similar densities.

Dual Energy: a technology designed to recognise bones

Dual Energy technology uses two different energy levels.

This allows better material discrimination and a more precise distinction between:

• meat;

• fat;

• bone;

• contaminants.

Integration with AI algorithms also reduces:

• false positives;

• false negatives;

• errors caused by natural product variations.

It is currently one of the most advanced solutions available for meat inspection.

The case of chicken: an even more specialised application

The poultry sector is probably the most complex application of all.

The high level of line automation increases the likelihood of small bone fragments being generated during deboning. On top of this, there is considerable anatomical variability from one bird to another.

Why the inner fillet is harder to inspect than the breast

The inner fillet (Pectoralis Minor) lies much closer to the sternum and has numerous bone and cartilage attachments. As a result, it is statistically far more likely to contain:

• sternum fragments;

• cartilage;

• small bone residues.

The breast (Pectoralis Major), on the other hand, is generally easier to debone and carries a lower risk.

High- and low-density bones: why different systems are needed

Not all bones have the same density. Some anatomical elements, such as the tibia or femur, are relatively easy to detect.

Inspection is far more complex for:

• scapula;

• clavicle;

• ribs;

• sternum.

These structures have lower densities and require specially designed Dual Energy systems.

Artificial intelligence also reduces false rejects

A quality control system must do more than find contaminants. It must also avoid rejecting perfectly compliant products.

Every false positive means:

• lost product;

• rework;

• slowdowns;

• higher costs.

New-generation AI algorithms learn to recognise the normal anatomical variations of the product, significantly reducing unnecessary rejects and improving overall line efficiency.

Quality control along the entire production line

Inspection should not be limited to the packaged product. The most advanced solutions allow checks to be carried out at every stage:

• carcass;

• cutting;

• deboning;

• primal cuts;

• bulk meat;

• MAP packaging;

• carton packing;

• checkweighing;

• final inspection before shipping.

This approach reduces rework costs and catches problems long before the product reaches the consumer.

Beyond contaminant detection: towards a data-driven factory

The most advanced inspection systems are becoming tools for analysing the production process. As well as detecting contaminants, they can collect valuable information on:

• defect distribution;

• reject frequency;

• line performance;

• production trends;

• fat content;

• weight compliance;

• packaging quality.

This data makes it possible to quickly identify process anomalies, optimise line settings and reduce waste.

Why choose an integrated quality control solution for meat

Every production line has its own challenges: from finding needles in pork carcasses and detecting bone micro-fragments in poultry to checking pack weight and integrity.

This is why there is no universal technology, but rather a set of solutions that must be designed around the company's product, process and quality objectives.

At Libra Quality Control, we support meat producers with advanced inspection systems that combine X-ray, checkweighing, metal detection, machine vision and artificial intelligence, designing every solution around the real challenges of the production line.