Let’s be honest. If you’re running a food or beverage production line, you’re juggling a lot: strict safety regulations, growing SKU complexity, and pressure to keep products moving fast without compromising quality. Miss one label, one foreign object, or one bad seal, and you’re looking at costly recalls or reputational risk.
That’s where Datalogic vision systems make a real difference. From the first bottle filled to the last case packed, our machine vision solutions help you automate inspection, validate every package, and stay compliant with every regulation. No delays. No compromises.
Let’s look at how vision systems are transforming quality control in food and beverage operations:
The Challenge:
Misapplied or missing labels result in shelf rejections, compliance issues, and customer confusion. Plus, with private label production, retailers expect perfection. When SKU complexity rises—different labels for different regions or dietary needs—it becomes harder to keep up manually.
How Vision Solves It:
✔ Verifies that labels are present, correctly placed, and readable
✔ Detects skew, wrinkles, or double-labeled products
✔ Confirms print quality of expiration dates and batch codes
Implementation Example:
P-Series smart cameras scan bottled beverages on a high-speed line to check for label orientation, clarity, and print presence before case packing.
The Challenge:
Improper seals or missing tamper bands put product safety at risk and lead to rework or waste. Loose caps, broken shrink bands, or misaligned lids also impact consumer trust and open the door to contamination claims.
How Vision Solves It:
✔ Detects seal presence, alignment, and completeness
✔ Verifies that caps are fully torqued and tamper-evident bands are intact
✔ Prevents unsafe products from reaching customers.
Implementation Example:
Vision systems mounted above a yogurt fill line inspect each lid for correct sealing and band application, triggering ejection of any non-conforming unit.
The Challenge:
Underfills lead to customer complaints and shrink perception. Overfills cause spillage, increase sealing issues, and impact case packing. Manual sampling can’t scale across SKUs or fast-moving lines.
How Vision Solves It:
✔ Measures fluid levels using 2D/3D imaging technology
✔ Flags containers outside acceptable fill range
✔ Supports multiple container shapes and materials.
Implementation Example:
A Datalogic vision station inspects fill levels of juice bottles on a transparent conveyor using backlighting and laser profilers.
The Challenge:
Illegible or missing barcodes and date codes disrupt distribution and fail audits. Incorrect dates can trigger retailer chargebacks or pull products from shelves. In multilingual regions, incorrect formats can also be a regulatory issue.
How Vision Solves It:
✔ Reads and verifies 1D/2D barcodes, date codes, and lot numbers
✔ Checks for correct format and placement
✔ Ensures traceability across the supply chain.
Implementation Example:
Matrix 320 imagers scan each carton of packaged soup to verify expiry date accuracy and ensure proper serialization.
The Challenge:
Contaminants or unexpected objects in packaging present major health risks and legal exposure. Even unintended mixing of ingredients (like nuts in nut-free bars) can result in allergic reactions and brand damage.
How Vision Solves It:
✔ Detects irregular shapes, color variations, or texture inconsistencies
✔ Works alongside X-ray/metal detectors as a visual validation layer
✔ Supports allergen control and cross-contamination monitoring.
Implementation Example:
Color vision systems flag chocolate bars with nut particles on nut-free lines by comparing surface consistency and appearance.
A major dairy plant was losing time and money to mislabeled bottles, leading to rejected shipments from major retailers.
⚠ Hand checks couldn’t keep up with 1,200 bottles/minute
⚠ Misplaced expiry codes caused distributor complaints
⚠ Night shift errors weren’t caught until post-packing
Vision Systems in Food & Beverage Manufacturing
