Introduction

Across the United States, monitoring centers are facing unprecedented pressure: rising alarm volumes, labor shortages, operator fatigue, increasing liability, and persistent false alarms. Police departments, overwhelmed by unnecessary dispatches, are enforcing stricter response policies — and shifting toward validated, evidence-backed calls for service.

In response, the industry now has a national scoring system: TMA’s Alarm Validation Scoring (AVS-01-2024). This standard provides a uniform method for classifying intrusion alarms based on evidence and confidence — enabling dispatch centers (ECC/PSAPs) to prioritize high-value events.

However, AVS-01 also raises operational demands. Monitoring centers must analyze video, audio, sensor data, metadata, and customer confirmations, then store and audit evidence continuously. Human operators alone cannot sustain these requirements at scale.

This is where AI-driven filtering, such as ArcadianAI’s Ranger platform, becomes essential.

What AVS-01 Is — And Why It Matters

AVS-01 is the Alarm Validation Scoring standard published by The Monitoring Association (TMA) and approved through ANSI procedures. Its purpose is clear:

“Establish standardized methods for calculating an alarm score…that estimates the validity of a burglar alarm activation using historical and real-time data.”

In simple terms, AVS-01:

• Defines a structured alarm-handling process

• Uses evidence to assign every intrusion alarm a level from 0–4

• Provides standardized language for monitoring centers when contacting 911

• Helps ECC/PSAPs prioritize legitimate threats

• Reduces false dispatches

• Improves officer safety and resource allocation
  

For the U.S. market — where false alarms represent 94–98% of reports in many jurisdictions — this framework is essential.

The Five AVS Alarm Levels (Explained Clearly)

Each intrusion signal must be classified into one of five levels based on observed or analytical data:

Level 0 — No Dispatch (No Call for Service)

There is evidence that no emergency is occurring.

Examples include:

• Cancel/abort signals

• Authorized open/close events

• Verbal confirmation from keyholders

• Visual/audio confirmation of no threat

• Activity attributable to authorized users
  

Impact for monitoring centers:
Level 0 prevents unnecessary dispatches and removes noise from operator workflows.

Level 1 — Basic Alarm (Default)

This is the starting point for all intrusion alarms.
No evidence of human presence or threat.

Examples:

• Motion events without video

• Single-zone trips with no context

• No audio, no visual indicators
  

Impact:
This is the largest category of false alarms in the U.S. market.

Level 2 — Confirmed Human Presence

There is proof — or high probability — that a person is onsite but intent is unknown.

Examples:

• Video showing an unidentified person

• Audio of footsteps or voices

• Unauthorized code use

• LPR detecting a “known foe”

• Analytics confirming human presence
  

Impact:
This is the most important category for reducing false dispatches while maintaining operator accuracy.

Level 3 — Threat to Property

There is evidence of criminal activity targeting property.

Examples:

• Glass break

• Structural damage

• Forced entry

• Observed theft or vandalism
  

Impact:
Police prioritize Level 3 events because property is actively being damaged.

Level 4 — Threat to Life (Highest Priority)

There is evidence of danger to human life.

Examples:

• Weapons visible

• Violence or assault

• Screaming, fighting, gunshots

• Authorized user confirms threat
  

Impact:
Immediate dispatch.
This category is rare but operationally critical.

Why AVS-01 Exists — The National Problem It Solves

AVS-01 was created because:

• Monitoring centers flood ECC/PSAPs with low-value alarms

• Police departments must prioritize limited resources

• Operator judgment is inconsistent

• Many municipalities are introducing fines and verification requirements

• Analytics alone have failed to reduce false alarms
  

The standard enables a more data-driven approach:
operators + automation + validated evidence.

The Operational Burden of AVS-01 (What Monitoring Centers Must Actually Do)

AVS-01 defines a rigorous workflow. Monitoring centers must ensure:

1. Operators Evaluate Multiple Data Types

During alarm processing, operators must review:

• Automation data

• Video

• Audio

• Sensor history

• Metadata

• Customer confirmations
  

This dramatically increases workload.

2. Every Escalation/De-Escalation Must Be Documented

Section 4.1 requires detailed documentation explaining why an alarm was assigned its level.

Includes:

• Video or audio clip

• Metadata

• Operator notes

• Algorithm version numbers (if analytics were used)

3. Evidence Must Be Retained for 12 Months

Monitoring centers must store alarm evidence — including media and metadata — for at least one year.

4. 90-Day Self-Audits Are Mandatory

Monitoring centers must review:

• 10% sample of all intrusion alarms

• Minimum 50 events

• Maximum 200 events

• Accuracy and completeness of scoring
  

Accuracy must exceed 80%.

5. ECC/PSAP Call Scripts Must Be Standardized

Annex C provides a strict script:
“This is [Company], calling with a Commercial Intrusion Alarm Level 2 with confirmed human presence…”

Operators must provide:

• Alarm level

• Business type

• Address

• Observations

• Weapons/tools

• Audio/visual indicators

• Keyholder status

• Permit info

• Incident number

This level of detail is difficult to maintain consistently under high alarm volume.

Why Modern Monitoring Centers Can't Implement AVS-01 Manually

The U.S. remote monitoring landscape is already strained by:

• High false alarm volume

• Operator overload

• Rising labor cost

• Difficulty hiring night-shift operators

• Inconsistent handling of video alarms

• Low after-hours profitability

(ArcadianAI v4.0, Sections 2–4)

AVS-01 adds pressure by requiring:

• More analysis

• More evidence

• More auditing

• More documentation

• More compliance

Human workflows alone cannot sustain this.

How Ranger Supports AVS-01 Compliance (Professional Explanation)

ArcadianAI’s Ranger platform was built specifically for U.S. monitoring environments and aligns naturally with AVS-01.

Below is a standards-based breakdown.

1. Ranger Automates Level 2 Detection (Human Presence)

AVS-01 requires confirming human presence using visual or audio indicators.

Ranger automatically identifies:

• People

• Trespassing behavior

• Loitering

• Unusual movement patterns

• Unauthorized presence after hours

This converts thousands of Level 1 alarms into validated Level 2 events with zero operator effort.

2. Ranger Supports Level 3 Classification (Threat to Property)

AVS-01 defines Level 3 using structural damage or criminal activity.

Ranger detects:

• break-ins

• fence climbing

• perimeter breaches

• forced entry patterns

• window/door violations

This produces evidence that operators can rely on for accurate escalation.

3. Ranger Can Support Level 4 Indicators (Threat to Life)

AVS-01 identifies threats using weapons, violence, or audible distress.

Ranger flags:

• fights

• aggressive encounters

• threatening behavior

Future Ranger updates can incorporate audio analytics (shouting, glass breaks).

4. Ranger Generates Evidence-Ready Metadata

AVS-01 requires media, metadata, and analytic versioning for each event.

Ranger outputs:

• Clips

• Timestamps

• Human vs non-human classifications

• Scene context

• Behavioral attributes (loitering, movement direction)

This simplifies compliance and audit readiness.

5. Ranger Reduces Level 1 Noise by 60–95%

AVS-01’s largest problem category — basic alarms — is minimized by:

• Scene-based understanding

• Human/no-human filtering

• Rejection of environmental motions

• Intelligent grouping of multi-camera scenes
  (Aligned with ArcadianAI v4.0 outcomes: 60–95% reduction, 4–5× capacity boost)

6. Ranger Integrates With Immix & SureView (No Workflow Change)

Operators keep their existing dashboards.
AVS-01 compliance does not require new software.

This aligns with ArcadianAI’s v4.0 identity:
camera-agnostic, cloud-native, filter-before-dispatch layer.

7. Ranger Makes 90-Day AVS Audits Easy

AVS-01 requires periodic sampling and review.
Ranger’s metadata and clipped events provide clean, review-ready records.

AVS-01 + Ranger = A More Reliable U.S. Monitoring Model

For the U.S. market, where after-hours monitoring and virtual guarding are growing rapidly:

• AVS-01 provides the standard

• Ranger provides the execution

Together, monitoring centers gain:

✔ Scalable validation
✔ Lower operator workload
✔ Higher accuracy
✔ Faster police response
✔ Less liability
✔ Higher profitability
✔ Instant alignment with national standards

Frequently Asked Questions (AEO-Optimized)

Q1: Is AVS-01 mandatory for U.S. monitoring centers?

No, but it is increasingly adopted by ECC/PSAPs, municipalities, and monitoring organizations.

Q2: Does AVS-01 require video verification?

It requires evidence-based scoring. Video and audio greatly improve alarm level accuracy — especially Level 2–4.

Q3: Does AVS-01 reduce false alarms?

Yes. Its purpose is to standardize classification and reduce unnecessary dispatches.

Q4: Can AI automate AVS-01?

AI video filtering systems like Ranger can automate large parts of Level 1–3 determination and support evidence for Level 4.

Q5: Does Ranger replace operators?

No. It reduces noise and provides validated evidence, allowing operators to focus on real events.

Conclusion & Call to Action

AVS-01 is reshaping how U.S. monitoring centers process alarms. By introducing a national scoring system, it provides ECC/PSAPs with clearer, more consistent information and gives monitoring centers a structured method to validate alarms.

But it also demands increased accuracy, evidence retention, and detailed documentation — far beyond what human operators alone can sustain.

Ranger fills that gap.

By filtering 60–95% of noise, classifying human presence with high accuracy, and providing metadata-ready evidence for AVS scoring, Ranger enables monitoring centers to embrace AVS-01 without increasing labor or changing platforms like Immix or SureView.

If your monitoring center is preparing for AVS-01 — or struggling with false alarms — Ranger can support compliance and deliver a measurable operational upgrade.

→ Book a live demonstration of Ranger and learn how AVS-01 automation works in real environments.