Bundle Strap Inspection AI

Verify every bundle leaving the line has the right number of straps in the right positions, sealed and tight, with edge protectors and a readable tag.

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Bundle Strap Inspection AI for the Toughest Steel, Pipe, Tube, and Lumber Bundling Lines

Deploy Anywhere, Run Everywhere
Run bundle strap inspection on bundler exit, transfer, and loading cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every mill and shipping team can adopt, from bundling operators to safety leads, no separate ML team required.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, HIPAA compliance, and an uptime SLA.

“Achieving positive results using AI in a lab environment is easy, but the real challenge comes when scaling the solution across a network like ours without disrupting day-to-day operations. Our partnership with Roboflow is allowing us to do just that.”

Asim Ghanchi

AVP of Technology, BNSF

Read the full story See customer stories

Talk to a Vision AI engineer who's shipped in metals, lumber, and building products.

Bring us your toughest bundle strap inspection problem and we'll map a working solution.

Ask us about:

Solution architecture that fits ISO 9001, AAR loading rules, and your customer bundling and shipping specifications
A live demo on your own bundler or loading footage
Deployment options: edge, on-prem, air-gapped, VPC, or on cameras at the bundler, transfer, and loading bay
ROI modeling against broken bundles in transit, load rejections, customer claims, and rehandling

Over 16,000 organizations build with Roboflow.

Rivian
Pella
Chobani
USG Corporation
BNSF Railway
American Woodmark

Start where you are

Vision AI is transforming businesses

Customers across the board are solving complex challenges and driving meaningful impact.

Automotive customer
$10 million
Saved by automatically detecting defects on the production line
Logistics & freight company
90%
Less time spent manually tracking shipping inventory
Building materials supplier
60%
Lower customer return rate with improved product quality

Verify Every Bundle Before It Ships, from the Bundler to the Truck and Railcar

Add a real-time inspection layer to every bundle leaving the line with Roboflow Vision AI for bundle strap inspection. Built for steel mills, pipe and tube mills, and lumber and building product plants where a bundle short one strap can break apart on the truck, and a missing tag gets the load turned away at the customer's gate.

Straps and seals:

Count straps on each bundle and compare to the specification for its product and length, with a model trained on your own bundles.
Check strap position and spacing along the bundle.
Confirm each strap has a seal or buckle, and flag loose, broken, or twisted straps.

Protection and tags:

Detect edge protectors, corner boards, and dunnage where the specification requires them.
Verify the bundle tag is present, readable, and on the right end, and read the heat, order, and bundle number.
Match the tag to the order and bundle record before loading.

Load and ship:

Hold a failed bundle at the bundler exit through the PLC for re-strapping.
Photograph each bundle at loading as evidence for customer and carrier claims.
Count bundles loaded per truck or railcar against the shipping list.

Bring intelligence to every bundle today. Stop missing straps and tags from becoming broken loads, rejected shipments, and claims.

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Frequently asked questions

What is bundle strap inspection with Vision AI?

Bundle strap inspection with Vision AI uses cameras at the bundler exit, transfer, and loading bay and a trained computer vision model (opens in a new tab) to count straps, check position and spacing, confirm seals and edge protectors, and verify and read the bundle tag on every steel, pipe, tube, or lumber bundle. It pairs with industrial OCR, count and quantity verification, and wood and lumber defect detection.

Can Vision AI check straps on bundles that vary in size and shape?

Yes. A model trained on your own bundles finds each strap against steel, tube ends, or lumber regardless of bundle size, and compares the count and spacing to the specification for that product. Using the bundle tag or line schedule to look up the specification means the same cameras check round tube, square bar, plate, and lumber without changing the setup.

Does bundle strap inspection support AAR loading rules and ISO 9001?

Bundle strap inspection supports securement expectations in AAR loading rules (the Association of American Railroads open top loading rules for steel and lumber on railcars), customer bundling and shipping specifications, and ISO 9001 (the quality management system standard), with an image record for every bundle shipped.

Roboflow serves as the inspection engine, and your shipping and quality teams own the strapping specifications and the response to a failed bundle.

Can it integrate with our bundler, MES, and shipping systems?

Yes. Roboflow writes pass/fail to a PLC tag over OPC UA, Modbus TCP, or MQTT, so the bundler or transfer can hold a bundle, and sends bundle records, tag reads, and images over REST (opens in a new tab) or to a database for MES, ERP, and shipping systems.

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Bundle Strap Inspection AI