Spot Weld Inspection AI
Verify every resistance spot weld on the body-in-white is present and in position.
Spot Weld Inspection AI for the Toughest Body-in-White, Sub-Assembly, and Tier Supplier Lines
Deploy Anywhere, Run Everywhere
Run spot weld inspection on robot-mounted, fixed station, and handheld cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every body shop team can adopt, 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.
- Weld Presence & Per-Part Weld Count
- Weld Position vs. the Weld Map
- Edge Welds & Welds Off the Flange
- Expulsion, Spatter & Burn-Through
- Surface Cracks & Excess Indentation
- Electrode Wear Signs & Weld Trending
“Roboflow has been instrumental in accelerating our deployment of innovative AI solutions.”
Travis Turnbull
Vice President & CIO, Pella Corporation
Talk to a Vision AI engineer who's shipped in automotive body shops.
Bring us your toughest spot weld inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits IATF 16949, AWS D8.1M, ISO 14329, and your customer PPAP and control plan requirements
- A live demo on your own body shop or sub-assembly images
- Deployment options: edge, on-prem, air-gapped, VPC, robot-mounted, fixed station, or handheld
- ROI modeling against teardown audits, destructive test scrap, rework, and warranty exposure
Over 16,000 organizations build with Roboflow.
- Rivian
- Pella
- Chobani
- USG Corporation
- BNSF Railway
- American Woodmark
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 Spot Weld on Every Body, from Sub-Assembly to Body Complete
Add a real-time inspection layer to every body-in-white with Roboflow Vision AI for spot weld inspection. Built for body shops and tier suppliers where hundreds or thousands of welds go into each body, where a missed weld or a weld on the edge of a flange hides until a teardown audit, and where chisel checks only cover a sample.
Presence, count, and position:
- Detect every spot weld on the part and compare the count to the weld map for that part number and station.
- Check each weld's position against the weld map, and flag a missing weld or a weld that drifted from its spot.
- Flag edge welds and welds too close to the flange edge or a neighboring weld.
Weld quality on the surface:
- Detect expulsion, spatter, and burn-through around the weld.
- Find surface cracks, excess indentation, and misshapen welds that point to electrode or fit-up problems.
- Spot signs of electrode wear, such as growing or irregular weld marks, so tips are dressed before quality drops.
Trend, trace, and act:
- Trend defects by robot, gun, and weld schedule so weld engineers see drift before the next teardown.
- Write pass/fail per weld to the station PLC so a body with a missing weld is held for repair.
- Log an image and result per weld to the body serial for the control plan, PPAP, and audits.
Bring intelligence to every spot weld today. Stop missing and misplaced welds from becoming teardown findings, rework, and warranty risk.
Frequently asked questions
What is spot weld inspection with Vision AI?
Spot weld inspection with Vision AI uses robot-mounted, fixed, or handheld cameras and a trained computer vision model to check every resistance spot weld on a body-in-white or sub-assembly for presence, count, and position against the weld map, and for surface defects such as expulsion, burn-through, cracks, and excess indentation. It complements weld inspection, weld nut and stud detection, and gap and flush inspection in the body shop.
Does spot weld inspection support IATF 16949 and AWS D8.1M?
Spot weld inspection supports the error-proofing and traceability expectations of IATF 16949 (the automotive quality management system standard) and the visual acceptance criteria in AWS D8.1M (the specification for automotive weld quality in resistance spot welding of steel), alongside destructive testing under ISO 14329 (destructive tests of resistance welds), with per-body records for PPAP and audits.
Roboflow serves as the inspection engine, and your weld and quality engineering teams own the weld map, acceptance criteria, and repair process.
Can it integrate with our weld controllers, PLCs, and MES?
Yes. Roboflow writes per-weld pass/fail to a PLC tag over OPC UA, EtherNet/IP gateways, or MQTT, so Allen-Bradley and Siemens controllers can hold a body for repair. Results can be matched with weld controller data from Bosch Rexroth, WTC, and Nadex, and sent over REST or to a database for the MES and quality systems.