Trailer and Container Inspection AI
Inspect every trailer and container at the gate or dock for damage, holes, floor condition, cleanliness, and seal state.

Trailer and Container Inspection AI for the Toughest Yards, Terminals, and Distribution Center Gates
Deploy Anywhere, Run Everywhere
Run trailer and container inspection on gate portal, dock door, and handheld cameras on the edge, on-prem, in your VPC, or via API.
One Platform, Full Adoption
Tools every logistics team can adopt, from gate clerks and yard jockeys to dock supervisors and claims managers, 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.
- Exterior Damage: Dents, Holes & Punctures
- Interior Floor, Wall & Roof Condition
- Cleanliness, Debris & Odor-Risk Residue
- Door, Hinge & Seal Verification
- Container, Chassis & Trailer ID Reads
- Photo Record at Gate-In & Gate-Out
“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
Talk to a Vision AI engineer who's shipped in logistics and intermodal.
Bring us your toughest trailer and container inspection problem and we'll map a working solution.
Ask us about:
- Solution architecture that fits C-TPAT inspections, FSMA sanitary transportation rules, and your carrier damage claims process
- A live demo on your own gate or dock camera footage
- Deployment options: edge, on-prem, air-gapped, VPC, gate portal, dock door, or handheld
- ROI modeling against damage claims, rejected loads, contaminated product, and gate dwell time
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