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Food & beverage

Inspection that survives the sanitation shift

We put AI inspection on the seals, labels and fills your customers judge you by, in stainless housings rated for daily washdown, and we watch the refrigeration that protects everything downstream.

A tray of almonds containing one almond-shaped stone, circled in orange.
FIG. 29The dangerous object looks exactly like the product — a stone among almonds.

What goes wrong

Small defects, expensive consequences

In food and beverage, the costly failures rarely look dramatic on the line. A pouch with a 0.2 mm channel through the heat seal looks fine at the case packer and goes stale, or worse, on a store shelf. A sleeve left over from the previous SKU ends up on product with a different allergen profile. A date code smears across the film and a distributor refuses the pallet. Each of these is a few pixels on a camera, and each can turn into a retailer chargeback, a market withdrawal or a recall.

The usual defenses are stretched thin. Operators pull a few packs per hour while running the machine. Rule-based vision tuned for one SKU struggles after the next changeover. Metal detectors and X-ray were never meant to read a label or judge a seal. And plenty of inspection hardware fails the first time a sanitation crew turns a hose on it.

Behind the line, the cold chain carries its own risk. A refrigeration compressor that runs hot for a week before it trips, or a condenser fan losing a bearing, can put a room of finished product at risk overnight.

Applications

Where AI vision and monitoring earn their keep in food plants

Heat-seal integrity

Low-angle red illumination raises wrinkles, channels and product trapped in the seal, so the model judges every pack at line speed and stores an image of each reject for QA.

Foreign material on the product surface

Lensnode M images eight bands from visible light to 1,000 nm, where many plastic, wood and stone fragments look different from product even when the color matches. See our note on hyperspectral foreign-material detection.

Label, allergen and date-code checks

Confirms the right label is on the right product for the active SKU, and that lot and date codes are present, legible and correct against the order your PLC or MES sends.

Fill level and closures

Backlit and side-view inspection of fill height, cap presence, cap skew and tamper bands on bottles, jars and cups, without touching the container.

Refrigeration and cold-room health

Pulsenode sensors trend vibration, temperature and current on compressors, condenser fans and evaporator motors, so a failing component shows up well before the room temperature moves.

Recommended stack

A starting stack for a food plant

A starting point, not a bill of materials. The Feasibility Sprint confirms optics and lighting for your actual product.

Gatepoint G2 handles up to 4 camera streams. Multi-lane lines step up to a Gatepoint G4, which handles up to 12.
ApplicationHardwareService
Heat-seal integrityLensnode V with low-angle red strobe; Gatepoint G2AI Visual Inspection
Surface foreign materialLensnode M (8-band multispectral); Gatepoint G4AI Visual Inspection with custom optics
Label, allergen and date codeYour existing cameras or Lensnode V; Gatepoint G2Vision Retrofit
Fill level and closuresLensnode V with backlight; Gatepoint G2AI Visual Inspection
Refrigeration compressors and fansPulsenode W and Pulsenode C; Gatepoint XT in cold roomsPredictive Maintenance
Filler, wrapper and case-packer stopsPulsenode C or PLC signals into a GatepointEquipment Performance & OEE

Environment and compliance

Washdown, cold rooms and food-safety records

  • Washdown. Lensnode cameras are available in an optional IP69K housing in 316L stainless steel, rated for close-range, high-pressure, high-temperature water jets, with M12 X-coded connectors. The Gatepoint sits in a panel outside the wash zone. We review your sanitation chemicals and procedure during scoping.
  • Cold. Lensnode is rated for −20 to 55 °C. In freezers, blast cells and on cold docks, the Gatepoint XT runs from −40 to 70 °C.
  • Foreign-material controls. Under FSMA's preventive controls requirements, physical hazards belong in your hazard analysis, and the controls you rely on need monitoring and verification records. When a vision check is one of those controls, Perflens Console keeps the image, timestamp, model version and decision for every reject. Your food safety team owns the plan; we supply the evidence.
  • Glass and brittle plastics. Tell us your policy at scoping. It determines lens-cover and window choices for every camera mounted over open product.

Honest fit

Where we help food plants, and where we don't

A good fit when

  • Pouch, tray or flow-wrap lines where seal leaks surface as customer complaints rather than line rejects
  • Plants with frequent changeovers, where a wrong label or date code is a bigger risk than a damaged pack
  • Sites that need an image of every reject for retailer audits or internal investigations
  • Cold storage where one compressor failure puts a full room of product at risk

Probably not when

  • Contaminants inside opaque product or under packaging. That is a job for X-ray, and your metal detectors stay where they are.
  • Low-volume, hand-packed products where a person already handles and checks every unit

FAQ

Questions we hear often

Will the cameras survive our sanitation crew?

Lensnode cameras are available in an IP69K housing in 316L stainless steel, designed for close-range, high-pressure, high-temperature washdown. We mount the Gatepoint compute outside the wash zone and check your sanitation chemicals against the housing and seal materials during scoping.

Can vision replace our metal detector or X-ray?

No. Cameras, including multispectral ones, see the surface of the product. They are good at contaminants that are visible but look like product to a person; metal detection and X-ray find what is buried inside it. Most plants that add vision keep both.

How do you handle frequent SKU changeovers?

The PLC or MES tells the Gatepoint which SKU is running. For label and code checks, adding a SKU is usually a configuration step, with reference artwork and expected text, rather than a retraining job. Seal and fill models are trained per package format, not per flavor.

Does this make us FSMA compliant?

No single system does that. Perflens inspection is designed to support the monitoring and verification records your food safety plan calls for, with an image, timestamp and model version for every decision. Compliance remains a matter for your food safety team and your plan.

What does a food-line inspection station cost?

Inspection-as-a-Service starts at $2,950 per station per month on a 36-month term, with hardware replacement and Care Essentials included. A capital purchase is typically $48,000–$140,000 installed. Most plants start with a $9,500 Feasibility Sprint; see pricing.

Bring us the pouch your QA team argues about

In a three-week Feasibility Sprint we image your packs in our optics lab and tell you, in writing, whether the defect is reliably detectable at your line speed.