Gridbots BagCheck

Robotic PP Bag Inspection System

Gridbots BagCheck is a fully automatic, robotic machine vision system for inspecting PP woven bags. It replaces manual checking with consistent, camera-based inspection of every single bag.

Twin high-resolution cameras inspect the top and bottom of each bag simultaneously for dimensions, fabric defects, print defects and foreign material inside the bag.

Two high-speed linear robots handle the bags without operator intervention. The first picks bags from the input stack and places them on the inspection table. The second sorts each inspected bag into an accept or reject stack. The system inspects more than 30,000 PP bags per day and adjusts automatically for bags from 400 to 1200 mm in length and 300 to 600 mm in width.

FULLY AUTOMATIC PP BAG INSPECTION SYSTEM

30,000+

Bags inspected per day

100%

Bags inspected, not sampled

4-in-1

Dimension, fabric, print & foreign material

0.1 mm

Inspection resolution

Features

Dimension, Fabric and Print Defect Inspection

Foreign Material Detection Inside the Bag

30,000+ PP Bags Inspected per Day

Fully Automatic Robotic Pick and Place

Auto Adjusts for Bags 400–1200 mm (L) × 300–600 mm (W)

Inspection Resolution: 0.1 mm

Top and Bottom – Simultaneous Inspection

Real Time Analytics and Reports via IoT

Automatic Stack Forming for Accept and Reject Bags

Defect Image Logging for Every Rejected Bag

Inspection Capabilities

Every bag goes through four inspection checks in a single pass. A bag that fails any one check goes straight to the reject stack, with the defect image saved for review.

Inspection Type	What Is Checked	Action on Failure
Dimension Inspection	Bag length, width, squareness, cut edge straightness, hem and stitch position against the set tolerance	Auto reject + image logged
Fabric Defect Inspection	Holes, cuts, tears, missing tapes, broken or loose weave, thick/thin tapes, stains, oil marks and lamination faults	Auto reject + image logged
Print Defect Inspection	Missing print, smudging, faded or light print, colour variation, print misregistration, wrong position and incorrect text or logo	Auto reject + image logged
Foreign Material Detection	Loose tape pieces, threads, dust, insects, paper and other foreign objects present inside the bag	Auto reject + image logged

Advantages Over Manual Inspection

Manual inspection relies on operators flipping and checking each bag by eye, often only on a sample basis. Accuracy drops through the shift as fatigue sets in. BagCheck inspects every bag to the same standard, around the clock.

100% Inspection

Every bag is inspected on both sides, instead of random sampling that lets defective bags reach customers.

Consistent Quality

The same tolerance is applied to every bag, on every shift. No variation between operators and no drop in accuracy late in the shift.

Finds What the Eye Misses

0.1 mm resolution picks up pinholes, fine weave faults, slight print misregistration and foreign material inside the bag.

Lower Labour Dependence

One machine does the work of a full manual inspection team. Staff can be moved to higher-value work.

Higher Throughput

More than 30,000 bags per day with robotic handling. No breaks, no shift change slowdowns.

Data and Traceability

Defect counts, defect types and images are recorded for every batch. Reports are available in real time through IoT.

Fewer Customer Complaints

Defective bags are stopped before dispatch, which protects your brand and reduces returns and claims.

Hygienic, Hands-Free Handling

Robots handle the bags, so there is less human contact. This is important for food-grade and pharma packaging.

Manual Inspection vs Gridbots BagCheck

Parameter	Manual Inspection	Gridbots BagCheck
Inspection Coverage	Sample basis / partial	100% of bags, both sides
Bags Inspected per Day	Limited by number of operators	30,000+ per machine
Dimension Measurement	Measuring tape, on sample bags	Every bag, automatic, 0.1 mm resolution
Fine Fabric Defects (pinholes, weave faults)	Often missed	Detected
Print Registration and Colour Check	Subjective, varies by operator	Objective, compared to master
Foreign Material Inside Bag	Difficult to check	Detected automatically
Accuracy Over the Shift	Drops with operator fatigue	Constant, 24×7
Bag Handling	Manual flipping and sorting	Robotic pick, place and stacking
Records and Traceability	Paper logs, if any	Digital reports with defect images
Bag Size Changeover	Re-briefing of operators	Automatic adjustment, less than 1 minute

Performance

Bags Inspected per Day

Defect Detection Rate by Type

Inspection Accuracy Through an 8-Hour Shift

Graph values are indicative and shown for comparison. Actual results depend on bag type, defect types and plant conditions.

Specifications

Model Number	GB-MV-INS-BAGCHECK
Application	PP Woven Bags / Sacks
Inspection Parameters	Dimensions, Fabric Defects, Print Defects, Foreign Material Inside Bag
Inspection Capacity	30,000+ Bags per Day
Cycle Time	Approx. 2 Seconds per Bag
Supported Bag Size	Length: 400 to 1200 mm Width: 300 to 600 mm
Bag Size Adjustment	Fully Automatic – Less Than 1 Minute
Inspection Resolution	0.1 mm
Camera System	Twin High Resolution Cameras – Top and Bottom Simultaneous Inspection
Machine Vision System	Integrated GPU Based Processing System
Robotic Mechanism	High Speed Linear Robots – Infeed Pick & Place and Accept/Reject Sorting
Vacuum Gripper	Silicone Suction Cups
Output	Automatic Stack Forming – Accept and Reject Stacks
Feed Weight Capacity	Upto 300 Gms per Bag [Maximum]
Machine Dimensions [LxBxH]	6000x2000x2000 mm
Build Material	Powder Coated MS
Electrical Characteristics	Single phase [230 V A.C. - 1 HP]
Health Checking	Inbuilt IoT and Alert Mechanism
Data and Reporting	Real Time IoT Analytics, Defect Image Logging, Batch Reports
Machine Weight	500 KG
Surface Finish	Matt - Grey
HMI Panel for Control	21 Inch HMI

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