Levy Vision Overview
Levy Vision is the computer-vision safety suite built into Levy Fleets. It uses AI to check that riders are wearing helmets, validates parking-pose at the end of every ride, ingests sidewalk-detection events from on-vehicle vendor hardware, and lets you enforce policy automatically — from a soft in-app warning all the way to throttle cut.
This article gives you the lay of the land. The rest of the Safety & Vision category goes deep on each capability.
Who this is for
Levy Vision is designed for three different audiences, all working from the same dashboard:
- Operators who want lower crash liability, fewer sidewalk complaints, and a defensible insurance story
- Field techs who need to clear false positives and restore throttle on a misclassified ride
- City compliance officers who require an MDS-aligned export of safety events for permit reporting
You access everything from Dashboard > Safety in the sidebar.
What's in the suite
Levy Vision ships in three layers. You can turn each one on independently per subaccount.
Helmet verification at unlock
Before a ride starts, the rider takes a selfie. Our classifier checks for a visible helmet and either passes the unlock, asks for a retake, or blocks the ride if you've enabled strict mode. Helmet-lock hardware (such as an AXA helmet lock) can bypass the selfie when the helmet has been freshly unlocked.
Read more in Helmet verification at unlock.
Parking-pose validation
At the end of every ride, the rider's parking photo is classified for pose (upright vs tipped), zone compliance, and whether it blocks the sidewalk. A high-confidence fail can trigger a reparking fee; medium-confidence prompts a retake; clean passes do nothing. Riders can appeal with a second photo, and you resolve the appeal from the operator dashboard.
Read more in Parking-pose validation.
Sidewalk detection (with throttle cut)
For fleets running on-vehicle hardware from Drover AI or Luna Systems, sidewalk-riding events stream into Levy Fleets in real time. A policy ladder you control turns those events into action: warn the rider, reduce top speed, or cut throttle entirely.
Read more in Sidewalk detection and Throttle-cut policy.
Dashboard surface
Once enabled, you get a new Safety group in the sidebar with these pages:
| Page | What it's for |
|---|---|
| Overview | Top-line metrics — helmet pass rate, parking pass rate, sidewalk events per 100 rides |
| Events | Unified feed of every CV event across your fleet (filterable, exportable) |
| Helmet compliance | Helmet selfie pass / fail / ambiguous trends |
| Parking reviews | Appeal queue — operator action required |
| Sidewalk hotspots | Map of where sidewalk events cluster (city-permit gold) |
| Safety settings | Per-subaccount toggles — strict mode, fee schedule, thresholds |
| MDS export | City-compliant safety event export by date range and polygon |
Off by default
Every Levy Vision feature ships off by default. Nothing in this category affects your rides until you flip the relevant toggle for a subaccount in Dashboard > Safety > Safety settings.
How accuracy is governed
We hold ourselves to published targets that match the spec:
- Helmet verification: 92%+ true-positive rate, under 5% false-positive rate
- Sidewalk detection: 85%+ precision (false positives are operationally expensive, so we tune conservative)
- Parking-pose: 90%+ upright-detection accuracy across scooter, bike, e-bike, and moped
Every event is logged with a confidence band (high, medium, low) so you can decide where the bar sits for your fleet.
What you'll need to get value
- A subaccount with at least one fleet of vehicles (any OEM works for helmet + parking)
- For sidewalk detection: a vendor agreement with Drover AI or Luna Systems (see Vendor setup)
- For city compliance: a defined jurisdiction polygon and a city contact who consumes MDS feeds
Where to go next
- New to the product? Start with Getting started with Levy Vision.
- Already enabled and reviewing events? Jump to Reviewing parking appeals.
- Setting up a vendor integration? Head to Vendor setup — Drover & Luna.
- Stuck? Check the Troubleshooting and FAQ articles.