

Add a real-time condition record to every check-out and check-in with vision AI for rental equipment damage inspection. Built for the branches where a boom lift goes out with a scuffed basket and comes back with a bent rail and nobody can prove which one the customer did, the yard tech walks around forty machines before lunch and stops noticing cracked mirrors by the tenth, and the damage bill goes out three weeks later with a photo that could be any Tuesday. Roboflow reads the walkaround video and yard camera footage, finds and locates every dent, crack, leak, and missing part, and compares check-in to check-out so the damage that happened on rent is documented, timestamped, and billable, on the phones and gate cameras your branches already use.
Damage Detection on Check-In:
Check-Out to Check-In Comparison:
Branches, Fleet, and Systems Integration:
Bring intelligence to every check-in today. Stop the unproven damage bill, the missed cracked mirror, and the machine that went back out with a leak from becoming written-off damage, a customer dispute you lose, or a safety incident on the next job site.
What is rental equipment damage inspection with Vision AI?
Rental equipment damage inspection with vision AI uses computer vision models on phone walkaround video, tablet photos, and fixed yard and gate cameras to detect and locate damage on rental equipment and vehicles at check-out and check-in: dents, scratches, cracks, broken glass and lights, tire and track damage, bent guards and rails, leaks, and missing parts and attachments. The system captures a complete condition record at check-out, compares check-in to it panel by panel to separate new damage from pre-existing, grades severity, and attributes each finding to the rental contract with images and timestamps, so damage charges carry proof, machines that need repair are routed to the shop, and records support ANSI A92 inspection requirements for aerial work platforms.
Does this help with damage disputes and ANSI A92 inspection records?
Yes, and disputes are usually where the value shows up first. A damage charge with a timestamped check-out image, a timestamped check-in image, and the new finding located on the machine is a charge the customer can see, which means fewer disputes, faster collection, and less written-off damage. For aerial work platforms, ANSI A92 (the standard covering pre-delivery, frequent, and annual inspections of mobile elevating work platforms) and OSHA pre-use inspection expectations require documented condition checks, and the per-rental image record supports those inspections and the maintenance history behind them. Roboflow supplies the detection and the record; your branch, fleet, and damage teams own the charge policy, the severity thresholds, and the inspection program.
Can it integrate with our rental ERP, fleet telematics, and billing?
Yes. Roboflow Inference exposes a standard API and webhooks, so inspection findings flow into your existing systems: rental management and ERP platforms like Point of Rental, Wynne RentalMan, Texada, and RentalResult for contracts, condition records, and damage charges, fleet telematics from Trackunit and others for machine identity and hours, dealer and vehicle systems for car and truck rental, and alerting into Slack and Microsoft Teams, through REST, webhooks, and direct database writes. A new finding at check-in becomes a damage line on the contract with images attached, a safety-grade finding becomes a shop work order before the machine goes back on rent, and every event carries the machine or vehicle ID, contract, branch, capture source, timestamp, and the check-out and check-in images, with a full record behind every charge.