Canned, bottled and jarred foods require rigorous inspection throughout the production process. A contaminant or packaging defect that remains undetected can affect product quality, damage brand reputation and increase the risk of recalls. However, inspecting packaged food is often challenging because metal cans, glass containers, closures and dense or non-uniform products can interfere with conventional detection methods.

Techik provides AI-powered whole-chain inspection solutions for canned, bottled and jarred food products. The solution can cover both raw materials before processing and finished products after filling and sealing. Depending on the product, package and production requirements, the inspection process can be configured to detect foreign bodies, packaging defects, fill-level deviations, missing components and other quality problems.

Inspection Challenges in Canned, Bottled and Jarred Foods

Foreign materials can enter food products at several points in the production process. Agricultural raw materials may contain stones, soil or other impurities. Worn processing equipment can introduce metal fragments. Damaged screens may produce fine stainless steel wires, while glass containers or ceramic components may break during handling.

The package itself can also make these contaminants more difficult to detect.

Metal cans create a strong background that may conceal metal contaminants. Pull tabs, seams, sidewalls and can bottoms produce complex image patterns. Glass containers present similar challenges because a glass fragment may overlap with the bottle wall, neck or bottom in an X-Ray image.

Product characteristics add another level of complexity. Canned foods may contain liquid and solid ingredients with uneven density. Sauces and pastes can be highly viscous, while powdered products may form clumps. A reliable inspection system must distinguish actual defects from normal variations in the product and package.

Techik combines X-Ray imaging, optical sorting and AI algorithms to address these different conditions.

Glass-in-Glass Detection for Bottles and Jars

Glass fragments are a major inspection concern for products packed in glass bottles and jars. They may result from damage during container manufacturing, transportation, washing, filling or sealing.

Detecting glass inside a glass container is difficult because the contaminant and package have similar material characteristics. A fragment positioned near the bottle wall, neck, shoulder or bottom may overlap with the container structure in the inspection image. Flat or irregular fragments can also appear differently depending on their orientation.

Techik food X-Ray inspection systems can use multi-angle imaging to examine a container from different directions. AI-assisted image analysis helps distinguish suspected glass contaminants from normal features of the bottle or jar.

This inspection approach can be applied to products such as:

● Bottled vegetables and pickles

● Baby food

● Sauces and condiments

● Bottled coffee

● Fruit products

● Beverages

● Cooking wine

● Other foods packed in glass containers

Actual detection performance depends on the size, shape, density and position of the contaminant, as well as the container design and product characteristics. Sample testing is therefore recommended when configuring a glass-in-glass inspection solution.

Metal-in-Metal Detection for Canned Foods

Metal contamination in a metal can is another difficult application. Metal fragments may originate from processing machinery, broken blades, maintenance tools, wires or other production equipment.

Traditional metal detection can be restricted by the metal package itself. X-Ray inspection provides another way to examine the contents of a sealed metal can, but the can structure still creates difficult inspection areas. Pull tabs, seams, edges, sidewalls and curved bottoms can produce strong or irregular image features.

Techik AI X-Ray inspection systems analyze differences in shape, position and image characteristics to identify suspicious foreign materials inside metal packaging. AI algorithms can also reduce the need to mask difficult areas of the can image, helping retain inspection coverage near pull tabs, edges and other complex structures.

Potential applications include:

● Canned meat

● Canned fish and seafood

● Canned vegetables

● Canned fruit

● Canned pet food

● Canned milk powder

● Ready-to-eat canned meals

The system configuration should be selected according to the can structure, product density, line speed and target contaminant.

Detection of Metal, Stones, Plastic and Ceramic Contaminants

Foreign-body risks are not limited to glass and metal. Raw materials, packaging materials and processing environments can introduce stones, plastic pieces, ceramic fragments and other unwanted materials.

X-Ray inspection forms an image based on differences in density, thickness and X-Ray absorption. It is particularly suitable for detecting many high-density foreign bodies, including metal, stone, glass and ceramic contaminants.

Some plastics have a density similar to that of the food product, making them more challenging for X-Ray inspection. Detection results depend on the plastic type, size, thickness and surrounding product. For suitable applications, AI-based image analysis or complementary optical sorting may improve the overall inspection process.

By evaluating the real product and target contaminants, Techik can help determine which inspection technology and machine configuration are appropriate for the application.

Stainless Steel Sieve Wire Inspection

Screens and sieves are commonly used in the production of milk powder, coffee, seasonings, granulated foods and other processed products. After prolonged operation, a damaged screen may release thin stainless steel wires into the product.

Sieve wires are especially difficult to detect because they can be very narrow and may appear differently depending on their angle. Product overlap and packaging structures can create further interference.

A high-resolution detector can provide more detailed X-Ray images, while AI algorithms can help identify fine or elongated foreign-body features. For demanding applications, multiple imaging angles may provide additional views of the suspected contaminant.

Before installation, the required sensitivity should be verified using representative products, packages and test samples under realistic production conditions.

Bone Fragment Inspection

Bone fragments can remain in processed fish, meat, poultry, baby food and pet food. Their density and appearance vary considerably, so detection can be affected by the type of bone, product thickness and surrounding meat tissue.

Techik AI X-Ray inspection systems can be configured to identify bone-like features based on density and image patterns. Potential applications include:

● Canned fish

● Bottled fish products

● Canned meat

● Infant and toddler complementary foods

● Canned pet food

Because bone density differs between species and body parts, testing with real bone samples is important. This allows the inspection parameters to be adjusted to the product and the required quality standard.

Vacuum Seal and Package Integrity Inspection

A secure seal helps protect canned and bottled foods from leakage, oxidation and external contamination. Problems such as an incorrectly fitted lid, an abnormal closure or insufficient vacuum may reduce shelf life and affect product quality.

Depending on the container and closure, an inspection solution may check visible or measurable features associated with:

● Cap position

● Lid condition

● Closure integrity

● Vacuum seal status

● Package deformation

● Abnormal container shape

Package inspection requirements should be evaluated according to the container type, cap design and sealing process. X-Ray inspection, machine vision or a combination of technologies may be used where appropriate.

Dented and Deformed Can Detection

Cans can be dented or deformed during production, conveying, packaging or transportation. Even when the contents remain unaffected, a damaged can may not meet the manufacturer’s quality requirements. More serious deformation may also compromise the seal.

Automated inspection can help identify cans with abnormal shapes or structural defects before they leave the production line. Once a defective package is detected, the inspection system can communicate with an automatic reject device to remove it from the accepted product flow.

This reduces dependence on manual inspection and supports more consistent quality control at high production speeds.

Fill-Level and Filling-Quantity Inspection

Underfilled packages may fail to meet declared quantity requirements, while overfilling can increase product waste and interfere with sealing. Fill-level inspection is therefore an important part of canned and bottled food production.

For opaque cans, cartons and dark containers, the product level may not be visible to a conventional camera. X-Ray imaging can provide information about the contents without opening or damaging the package.

Depending on the product and container, an X-Ray inspection system may detect:

● Low fill levels

● Excessive fill levels

● Missing contents

● Abnormal distribution of solid ingredients

● Significant differences in filling quantity

Performance is influenced by product density, container geometry and the ratio of liquid to solid ingredients. The final solution should be validated with actual production samples.

Barcode Verification and Product Identification

Barcode verification supports traceability, inventory management and accurate product distribution. Missing, unreadable or incorrect barcodes can disrupt warehouse and retail operations or cause the wrong product information to enter the supply chain.

A machine vision system can inspect whether a barcode is present and readable. Where production data is available, the decoded information may also be checked against predefined product rules.

Barcode verification can be integrated with label inspection, package inspection and reject systems to form a more complete end-of-line quality control process.

Selecting the Right Food Inspection Solution

No single inspection configuration is suitable for every canned, bottled or jarred product. When planning an inspection project, manufacturers should consider:

● Product type and density

● Package material and dimensions

● Bottle or can bottom structure

● Target contaminant material and size

● Liquid, solid, powdered or mixed-product characteristics

● Production speed

● Required fill-level or package checks

● Conveying stability

● Reject method

● Cleaning and maintenance requirements

Techik can conduct application testing using representative products and contaminants. Based on the test results, the inspection solution may include optical sorting, bulk X-Ray inspection, packaged-product X-Ray inspection, vision inspection or a combination of technologies.

Build a More Complete Food Quality Control Process

Foreign-body control is most effective when inspection begins with the raw materials and continues through the final packaged product. Optical sorting can remove visible defects and impurities before processing. Bulk X-Ray inspection can identify internal defects and high-density contaminants. Finished-package inspection can provide a final quality control step after filling and sealing.

By combining these technologies with AI image analysis and automated rejection, food manufacturers can create a more comprehensive inspection process for canned, bottled and jarred products.

To discuss an inspection solution for your production line, contact Techik with details about your product, package, target contaminants and production speed. Application testing can then be used to determine an appropriate machine configuration and inspection approach.