Operate · Camera Reliability

30% of your cameras are offline.
You don't know which ones
or why.

Camera Reliability monitors your entire fleet across every video system — and tells you not just that a camera is down, but exactly why: Skyline configuration, IP mismatch, iNet sync failure, or encoder gap.

~4,000 cameras in a large state DOT fleet — the scale Camera Reliability is built for
30% typical offline rate across large DOT fleets before Beacon
4 root cause categories surfaced — not just "it's down"
5+ video endpoints monitored per camera (511, iNet, Claris, Navigator)
The Problem

When a camera goes blank, everyone blames the vendor.

Traffic cameras exist for one reason: to help operators manage incidents, protect first responders, and keep traffic moving when something goes wrong. A camera that's been offline for two weeks isn't just an ops inconvenience — it's a gap in the safety picture that nobody in the agency knows is there.

A state DOT's video system runs through Skyline, but a blank camera on 511 might have nothing to do with Skyline. The encoder might be misconfigured. The IP address might have changed and nobody updated the system. The iNet sync might have failed. A technician might have swapped hardware without telling anyone.

Every system points at a different vendor. Nobody has the full picture — so nothing gets fixed, and the camera stays offline for weeks.

Large DOT fleets routinely run at 70% uptime. The other 30% is invisible breakage accumulating across processes no one has mapped.

Real scenario · State DOT Operations

Camera 2847 — I-285 East

Blank on 511 for 12 days. IT ticket open against Skyline. Skyline says it's not their system. Nobody checked iNet.

Beacon Camera Reliability

Camera is live in iNet. Feed is available in Skyline SFS. Root cause: IP address changed after encoder swap on June 3rd — Skyline was never updated. Action: update Skyline host mapping for encoder 2847-A.

12 days of blame. 20 minutes of diagnosis.

Root Cause Analysis

Not every dead camera is the same problem.

Camera Reliability classifies failures by type so the right team fixes the right thing — instead of everyone blaming each other.

IP / Encoder

Address mismatch after hardware swap

When a camera or encoder is replaced, the new IP address needs to be pushed to Skyline, iNet, and Navigator. It rarely is. Camera Reliability detects the gap before it becomes a 3-week ticket.

iNet Sync

Sync failure between systems

A camera can be working in Skyline and invisible in iNet. That's not a Skyline problem — it's a sync problem. Camera Reliability checks both endpoints and surfaces the gap explicitly.

Stream Manager

Demand spike kills the feed

When high demand hits the stream manager, cameras start dropping. 185 cameras went offline in one afternoon during a traffic event. Camera Reliability catches mass drop events and correlates them to demand patterns.

Hardware / Config

Physical failure or misconfiguration

Some cameras are actually broken. Camera Reliability separates these from process failures — so engineering resources go to real hardware problems, not phantom software tickets.

How It Works

Continuous monitoring across every endpoint.

Camera Reliability doesn't just ping a camera. It checks every system the camera feeds — simultaneously.

01

Baseline your fleet

Beacon maps every camera across all endpoints — 511, iNet, Claris, Navigator — and establishes which are expected to be active. Mass drops and long-running outages are immediately visible.

02

Classify the failure

When a camera goes dark, Camera Reliability checks each feed independently to identify where the break occurs. IP mismatch, sync failure, stream demand, and hardware failure each have distinct signatures.

03

Convert to tickets

Findings flow directly into your ticketing system — with the root cause, the affected endpoint, and the recommended fix. The right team gets the right ticket on day one, not day twelve.

Multi-Feed Monitoring

The same camera feeds five different systems.
All five need to work.

Skyline distributes camera streams to 511, iNet, Claris, Navigator, and potentially third-party consumers. A failure in any one feed looks like a camera problem — but it might be a feed problem.

Nobody was monitoring all five simultaneously. Now someone is.

Built for large fleets. Camera Reliability is designed for agencies running thousands of cameras across multiple video systems. We can baseline any state DOT's fleet in hours — and we already know what we'll find.

511 Public Feed Monitored
iNet Internal Feed Monitored
Claris Monitored
Navigator Monitored
Skyline SFS (API) With API access
What the data shows

30% offline isn't unusual. It's the baseline.

State DOT camera fleets run at roughly 70% uptime — not because the hardware is bad, but because no one has the full picture across every system at once.

~4,000 cameras in a large state DOT fleet — the scale Camera Reliability is designed for
30% typical offline rate at any given time across large DOT fleets
4 root cause categories that explain the vast majority of camera failures
20 min to diagnose a camera that had been blamed on the wrong vendor for 12 days
"The cameras that are down aren't just a maintenance problem. They're a gap in the safety picture — and in most agencies, nobody knows which cameras are in that gap or why."
Jim Anderson, CEO, Beacon

Your camera fleet has the same problem.

Every large DOT runs a version of this. We built a reconnaissance tool to baseline any state's camera health in hours. We already know what we'll find.

Talk to our team