Inline Vision Inspection

Spot the defect
at line speed.

Foodtrce puts a camera on every unit — catching bruising, label skew, and seal contamination before product leaves the line. Not one-in-fifty. Every unit.

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100% of units inspected — not 1-in-50
Overhead view of a high-speed food production conveyor with AI detection bounding boxes highlighting products
1-in-50

manual sampling — clustered defect runs stay invisible between checks

(industry estimates)

~$45K

typical cost per retailer rejection incident — logistics, rework, relationship capital

(industry estimates)

<8ms

Foodtrce inference latency — PLC reject signal fires before the unit clears the camera

(from pilot deployments)

FOODTRCE — LINE 03 — LIVE FEED
PASS
PASS
FAIL
PASS
PASS
PASS
PASS
FAIL
Units: 1,482 Pass: 1,479 Defects: 3 Conf: 97.2%

How it works

Per-frame. Every unit. No sampling.

Each frame from your GigE camera hits the edge node, runs inference, and sends a 24V reject signal to your PLC — all in under 8ms. No network round-trip. No batch processing window.

Label alignment checked to ±0.5mm tolerance
Seal integrity read at 800 units/min
Bruising & discoloration flagged in real-time

From pilot deployments

Numbers that matter on the line

~94%
Defect detection rate at ≥600 units/min
Consistent across mixed-SKU runs after calibration
<0.3%
False-reject rate after calibration
Keeps good product on the dock, not in the bin
8hrs
Installation on standard GigE camera mount
No production shutdown required for most lines
100%
Unit coverage — including clustered defect runs sampling skips
Contiguous runs of defects are the ones that trigger recalls. Sampling misses them by design.

Results from pilot deployments. Actual performance varies by product type and line configuration.

What Foodtrce catches

Three defect categories, one inline system

Close-up of produce on a conveyor belt with surface bruising visible under inspection lighting
Surface Damage

Bruising & Surface Damage

Detects bruises over 5mm², discoloration beyond ΔE>3, and mold spotting on fresh produce and dairy at full line speed.

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Product containers on a production line with visible label misalignment under inspection lighting
Label Quality

Label Misalignment & Print Defects

Catches skew beyond ±0.5mm, missing date codes, and print registration errors before units leave the line.

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Packaged food items on a production line showing seal area under inspection camera view
Seal Integrity

Seal Contamination & Integrity

Identifies seal contamination, wrinkles, and underfill in flexible and rigid packaging at up to 800 units/min.

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Runs on your cameras. Talks to your MES. Signals your PLC.

Linescan Systems CapturePro FlexMES DataBridge ProPack Suite
GigE Vision compliant OPC-UA integration CSV / REST API export

From the line

What QA teams say after the first quarter

"We used to pull 40 units per shift for manual inspection. Now every unit runs through Foodtrce — we caught a contamination batch on a Tuesday morning that would have been on a retailer dock by Thursday."

Marcos R., QA Manager — contract packing facility

"Distributor rejection rate dropped from around 6% to under 1% in the first production quarter. The label skew threshold was the unlock — something we never had the resolution to set before."

Dana L., Production Supervisor — snack foods line

Your line runs every day. Your inspection should too.

We deploy on your existing camera hardware. No rip-and-replace.

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77 W Wacker Drive, Suite 3100, Chicago, IL 60601

[email protected]