01Capture
Ordinary footage from a drive the crew was already making.
The data
From a passing dashcam to a living inventory
Data is, ultimately, our product. See how we collect it, enrich it, and turn it into an actionable view of your roads.
NetworkDetectionsPrioritiesWork ordersReports
Live · City of FairviewCF
Detections14 unfiled
Last scan · 47 min ago| ID | Image | Type | Status | Coordinates | L (cm) | W (cm) | D (cm) | Deg. Rate (cm³/wk) | Spd Limit | AADT | Wheel Path | Bike Lane | Intersect. | Snowplow | Civ Rep. | |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| PTH-00412 |  | Pothole | Unfiled | 39.7392° N, 104.9903° W | 71.1 | 48.3 | 10.7 | 184.2 | 65 mph | 48,200 | 3 | |||||
| PTH-00389 |  | Pothole | Unfiled | 39.7484° N, 104.9871° W | 55.9 | 35.6 | 9.7 | 156.8 | 65 mph | 51,400 | 1 | |||||
| PTH-00401 |  | Pothole | Scheduled | 39.7318° N, 104.9956° W | 45.7 | 30.5 | 7.4 | 112.4 | 45 mph | 22,800 | 2 | |||||
| PTH-00374 |  | Pothole | Scheduled | 39.7205° N, 105.0014° W | 35.6 | 22.9 | 5.3 | 88.6 | 35 mph | 14,600 | 4 | |||||
| PTH-00398 |  | Pothole | Unfiled | 39.7441° N, 104.9832° W | 40.6 | 27.9 | 6.1 | 74.3 | 30 mph | 9,400 | 1 | |||||
| PTH-00355 |  | Pothole | Unfiled | 39.7156° N, 105.0088° W | 30.5 | 20.3 | 4.3 | 49.1 | 40 mph | 18,200 | 0 | |||||
| PTH-00362 |  | Pothole | Unfiled | 39.7267° N, 104.9779° W | 25.4 | 17.8 | 3.6 | 31.7 | 35 mph | 11,600 | 0 |
Dashcamera-based
Initial Collection
The vehicles already driving your streets become the sensor network — no survey crews, no special trips.
ARTIE™ Dash Camera
A computer-vision pipeline in a dashcam.
Installed in Fleets
Runs on the vehicles you already drive.
Passive Coverage
~80% jurisdictional coverage every 2 weeks.
Step 2 — The Governor™
Collect only what you are prepared to act on.
Your crews have a finite number of closures in them each cycle. The queue is sized to match.
Detected across your network
182,323 detections registered
173,921 held — criteria not met
Enters your active workflow
8,402 reported
Collection criteria
Size met
Context met
Risk met
Location met
Instead of overwhelming your team, Arterial’s Governor™ lets you define clear collection criteria - whether you want to see everything or only what you’re ready to see.
Control the criteria, thresholds, and volume of information you receive.
Step 3 — Processing & enrichment
A detection is only the beginning.
We enrich our records with dimensions, condition, history, and context, turning a point on a map into intelligence your team can act on.
Every detection is itemized with images and location
ARTIE turns every detection into a unique GIS record with imagery and location, updating it each time it is re-detected.
- Itemized as a unique, individual GIS-compatible record.
- Paired with object type, a 4K image, and precise coordinates.
- Continuously updated with every pass.
We enrich each object with physical/condition attributes
Each object gets physical traits, plus condition attributes specific to that asset.
- Is the sign defaced, obstructed, damaged, faded, or missing?
- Is the gutter clogged, the manhole raised, or the delineator knocked down?
- What percentage of centerline paint remains, is the graffiti vulgar? What grade hit did the guardrail take?
Our E-LiDAR maps every corridor we survey in 3D.
E-LiDAR gives every detection true physical dimensions — length, width, depth, and volume — from standard camera footage.
- Records are geospatially accurate and itemized.
- All detections have physical size and depth metrics.
- All detections are filtered by right-of-way boundaries.
Every detection comes with context.
Our context engine enriches every detection with the environmental and operational factors that determine how it should be managed.
- Spatial Context: Wheel-path location, subsurface assets, bike lanes, intersections.
- Mobility Context: Traffic volume, pedestrian density, speed limit, transit routes, crash history.
- Operational Context: Snowplow routes, civilian reports, internal policy, jurisdiction, capital plans.
Step 4 — Prioritization
The record is scored against your goals.
We evaluate each issue within its unique context to determine its urgency and what should be addressed first based on your agency’s priorities.
Factor weights · Bike Safety
Increase the weight of wide, deep potholes within bike lanes and along high-traffic cycling corridors.
Depth
55
Length
58
Width
30
Degradation Rate
52
Insurance Claim History
30
Bike Lane
100
Bike Traffic
88
Traffic Density
38
Speed Limit
21
Wheel Path
21
Snow-Plow Route
6
Add, remove, or reweight factors at any time, so as your priorities or leadership changes, your data can change with it.
PTH-04471
Pothole — Colfax Ave & Fillmore St
Severity
3.2
Score breakdown
- Depth 11.0%
- Length 11.6%
- Width 6.0%
- Degradation Rate 10.4%
- Insurance Claim History 6.0%
- Bike Lane 20.0%
- Bike Traffic 17.6%
- Traffic Density 7.6%
- Speed Limit 4.2%
- Wheel Path 4.2%
- Snow-Plow Route 1.2%
The result
It lands on the map, ranked and ready to dispatch
Each detection, once enriched and scored, is added to the living inventory of your jurisdiction.
Network map · City of Boulder
FiltersLayers
New!
1,204 openJust added
Potholes · by prioritySnow prep
19.2
Colfax Ave & Fillmore St
PTH-04471
28.7
Main St & 5th Ave
PTH-04390
38.4
School Zone — Oak Elem.
PTH-04412
47.2
Oak Blvd Corridor
PTH-04355
55.8
Industrial Dr
PTH-04298
Depth projection
E-LiDAR
E-LiDAR rebuilds every corridor we survey as a near-LiDAR-accurate 3D model from standard camera footage — no survey rig, no dedicated trip, processed in the cloud.
02Reconstruction
E-LiDAR resolves that footage into a measurable 3D surface.
03Full spatial reconstruction
Every pass adds to one continuously refined 3D model of the corridor.
Data quality
Data you can trust and defend.
Every record is validated, cleaned, filtered to your jurisdiction, and collected only when you want it.
Field validated
99.7%Report accuracy
Validated
Cleaned
Defensible
01
Quality Control
Every detection is put through a 6-stage QA/QC pipeline.
02
Right-of-way Filtering
You receive data on only what you own and are responsible for.
03
Class Gating
Collection on certain classes pauses when conditions cannot support reliable capture.
04
Controlled Updates
Each field is updated only when its specific requirements are met.
Integrates with the toolsyour teams already use.
Quality-checked inventory flows directly into your system of record—without new workflows or a rip-and-replace rollout.
Integration examplesTap to focus
15+ integration packagesReady to deploy · Custom connectors available