Cable Inspection AI
Catch jacket defects, wrong stripes, and reel crossovers on every meter, at line speed.

Cable Inspection AI Across Extrusion, Stranding, and Spooling
Deploy Anywhere, Run Everywhere
Run cable inspection on the edge, on-prem, in your VPC, or via API, wherever your jacketing lines, stranders, and spooling stations need it.
One Platform, Full Adoption
Tools every wire and cable team can adopt, from line operators and die techs to process engineers, quality leads, and plant managers, no separate ML team required to ship and own inspection models.
Secure, Compliant, and Audit-Ready
Data stays safe with SOC 2 Type II compliance, encrypted data, and an uptime SLA, with per-reel records that support UL and CSA listing programs, ISO 9001, and customer specifications.
- Jacket Defect Detection
- Stripe & Color Verification
- Print & Marking Legibility
- Strand & Braid Inspection
- Reel & Spooling Checks
- Per-Reel Footage Records
Talk to a vision AI engineer who's shipped cable inspection.
A jacket scuff that becomes a field failure mid-span, a wrong ID stripe that miswires a contractor's panel, or a crossover buried ten layers deep that snags at the customer's payoff can mean a listing audit asking about your marking, a miswire traced back to your stripe, and a returned reel that pays freight both ways. Bring us your toughest cable inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture for UL and CSA listing, ISO 9001, and customer spec environments
- Live demo on your cable imagery, jacket photos, or spooling footage
- Deployment options: edge, on-prem, air-gapped, or VPC, with integration into line PLCs, winders, and MES
- ROI modeling against returned reels, scrap per event, listing findings, and manual line checks
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