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Vision

AI-assisted deficiency and asset capture from the road.

Computer vision analysis of road data — potholes, cracking, markings, signage and custom classes — so patrol and inspection programs can scale beyond pure manual observation.

LX4 multi-cam video

Fleet video. No card chase.

Bring operational video into the same LX4 system used in the cab and in the field — with local storage, automatic upload and direct clip management.

Real Lynxfield LX4 multi-cam video interface with live camera, clip management and mapping screens
01

Supports up to 6 cameras

Build multi-angle coverage around a single LX4 edge unit.

02

1080p + night-capable options

Selected camera configurations support daytime and after-dark fleet evidence.

03

Hours stored on-unit

Record locally through connectivity gaps; storage duration varies by configuration.

04

Automatic upload

Move video without pulling, transporting or sorting SD cards.

05

Screen + mobile management

Review and manage recordings from the LX4 screen or mobile app.

06

AI vision workflows

Use recorded fleet video as evidence and input for configured AI analysis.

Book an LX4 video demo →

Easy to install and designed for cost-effective video management across large fleets.

Detect • locate • act
Computer vision road capture Camera frame with detections linked to a work item list. POTHOLE CRACKING DETECTIONS Pothole Location attached Cracking Lane edge Create work item
About this solution

Scale capture without losing location context.

Vision helps teams detect and organize road conditions and assets while keeping findings tied to place so follow-up work can start from evidence, not memory.

  • AI-assisted detection of common road deficiencies
  • Support for markings, signs and custom asset classes
  • Evidence tied to location for follow-up work
  • Complements human patrol judgment rather than replacing it
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Advantages

What operations teams gain.

Practical outcomes for public works, contractors and mobile fleets — without inventing metrics or claims we cannot support.

01

Faster observation

Cover more network with assisted detection support.

02

Consistent classes

Standardize how common defects and assets are labeled.

03

Location-backed evidence

Keep detections useful for dispatch and repair.

04

Work creation path

Turn findings into follow-up items in the same stack.

05

Patrol complement

Pair with human judgment and road-class programs.

06

Custom classes

Adapt detection focus to local asset and defect priorities.

Next step

See how Vision fits your routes, crews and coverage reality.

Demos and workflow reviews for municipalities, counties, DOTs, towns and contractors across the U.S. and Canada.