Connect the camera
Plug the returned camera into the station. Brand, model, and firmware version are auto-detected — no manual configuration required, ever.
Security camera diagnostics · solved in 2 minutes
Stop paying$811per camera return.
Device Diag AI validates any returned security camera in under two minutes — no truck rolls, no guesswork, no NFF waste.
- ~2min
- Per device, end-to-end
- 99%
- Diagnostic accuracy
- 50K+
- Devices validated
- 0
- Truck rolls required
ITS3 · Diagnostic Console
LIVE
RUN 024784% · 8 of 10
- ✓Video — Resolution & frame rate12.4 sPASS
- ✓Audio — Two-way & noise cancel8.1 sPASS
- ✓Night Vision — IR brightness14.6 sPASS
- ✓Network — Wi-Fi stability22.3 sPASS
- ✕Sensor — PIR motion calibration9.0 sFAIL
01:58RUN TIME
4 / 5TESTS PASSED
RMADISPOSITION
Bench station
All-in-one diagnostic rig
What it is
Automated diagnostics for security cameras.
Device Diag AI is a purpose-built bench station that ingests any returned IP, Wi-Fi, cellular, or AI camera and runs the same 10-point fault suite a senior technician would — only it does it in under two minutes, with zero brand-switching overhead.
The result is a single, ERP-ready pass/fail report: every device validated, every NFF caught, every report standardised. No truck rolls, no human variability.
- Plug-and-test
- 10-point fault suite
- API · ERP / WMS
- Pass/fail in PDF · JSON · CSV
Why this exists
Returns aren't a logistics problem. They're a $811 problem.
For every camera that comes back from the field, your operation absorbs hours of skilled labor, two truck rolls, weeks of downtime, and a roughly 40% chance the device wasn't even broken.
$811
Average cost per incident
All-in, traditional process
$700+
Double truck-roll labour alone
Excl. parts & admin
1–3wks
Camera downtime per incident
Site exposed during window
~40%
Returned cameras are NFF waste
No-fault-found / fraud
How it works
From returned camera to verified result in three steps.
No configuration. No manual input. Connect, run, report — the same way every time, regardless of brand.
Run the diagnostics
Full diagnostic suite executes automatically — video, audio, IR, sensors, and network — replicating the exact fault conditions reported in the field.
Generate report
Pass/fail result in PDF, JSON, or CSV — auto-generated and pushed directly into your WMS or ERP via API. Nothing to type, nothing to chase.
Test coverage
Every test a returned camera has to pass.
Purpose-built for the heterogeneous reality of B2B security camera fleets — IP, Wi-Fi, cellular, and AI-powered devices, all on one bench.
Video
- Resolution, frame rate, colour
- Dead pixels & image noise
- Distorted or lost image
- Burn-in sensor detection
Audio
- Two-way audio testing
- Noise cancellation check
- Crackling sound detection
- Signal strength validation
Night vision & IR
- Low-light performance
- IR brightness verification
- Spotlight colour night test
- IR cut filter & ALS
Network & sensors
- Wi-Fi & ethernet stability
- 4G/5G cellular testing
- Sub-1GHz RF / IoT
- PIR motion & light sensor
Old way vs. new way
Why the old process no longer pencils.
For most mid-range cameras ($400–$700), the traditional process costs more in labour than the camera's replacement value. The maths has flipped.
Diagnostic time
Traditional process: 3–5 hours onsite
Device Diag AI: ~2 minutes
Cost per incident
Traditional process: $811 average
Device Diag AI: < $5 at scale
Technician visits
Traditional process: 2 truck rolls
Device Diag AI: Zero truck rolls
Accuracy
Traditional process: Variable, human error
Device Diag AI: 99% automated
NFF detection
Traditional process: Often missed
Device Diag AI: Every device caught
Brand coverage
Traditional process: Technician-dependent
Device Diag AI: All major brands
Report output
Traditional process: Manual, inconsistent
Device Diag AI: PDF / JSON / CSV auto
Security downtime
Traditional process: 1–3 weeks average
Device Diag AI: Resolved same day
Scales with volume
Traditional process: Cost grows linearly
Device Diag AI: Cost drops at scale
Fraud protection
Traditional process: None
Device Diag AI: Automated detection
Traditional · single incident
$811.80
Device Diag AI · enterprise volume
< $1
Built for heterogeneous fleets
Works with the brands your fleet already runs.
AVIGILONHoneywell
VerkadaPELCO
DWDIGITAL WATCHDOG
AXISCOMMUNICATIONSring
Nest
arloWYZE
eufy
+ moreAdd logos
Auto-detects brand · model · firmware · New models added via NPI in ~4 weeks
Common questions
Everything ops leaders ask before deploying.
Most customers are running production diagnostics within 2–3 weeks of contract. Hardware ships pre-calibrated; on-site setup is a half-day. ERP/WMS API integration typically lands inside the first sprint, with full operator training included.
Pricing
Simple, transparent pricing for every scale.
Annual commitment discounts of 5–15%. Custom development at $50/hr. NPI for new models at $5K (~4 weeks).
SMB Essentials
Single site · up to 50,000 devices/year
$2/ per scan
- Hardware$12K / station
- ReportsPDF · CSV
- IntegrationCSV export
- SupportBusiness hours
Enterprise Scale
Multi-site · 50K–500K+ devices/year
$1/ per scan
- Hardware$15K / station
- ReportsPDF · JSON · CSV
- IntegrationFull API · ERP / WMS
- Support24/7 named SLA
Most customers reach full ROI in 3–6 months · 200 devices/mo = $162K/yr in direct savings
See the station in action.
Tell us your device volume and brand mix — we'll show you exactly how the platform performs on your fleet, with a custom cost-savings estimate.
- Live walkthrough on your camera brands
- Cost-savings model based on your volume
- Deployment timeline & SLA terms
- Response within 1 business day