BUILT FOR THE NEXT GENERATION OF CAMPUS SAFETY

Every second matters.
So does every student.

Meet Sentria — an AI-powered early-warning concept that transforms existing school CCTV into signals that people can verify and act on, before threats escalate.

Privacy by design Human-verified alerts Edge-first approach
SENTRIA COMMAND
CONCEPT PREVIEW • NOT LIVE
CAMPUS OVERVIEW

Security monitoring Pilot mockup

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CAM 04 • MAIN GATEILLUSTRATIVE VIDEO FEED
!Potential anomalyStaff verification required
EDGE ANALYTICS • DEMO VIEW1920 × 1080
Target coverage32 IP cameras
Alert policyHuman review
ComputeOn-site edge AI
Decisions stay human.AI flags. Trained staff verify.
32/SITEExisting IP camera streams pilot design target
2 SCHOOLSPublic & private school pilot target
100%Human confirmation before escalation
Designed in Magalang, Pampanga · Concept stage

SECURITY SHOULD BE PROACTIVE. NOT JUST REACTIVE.

Existing CCTV+ Edge AI+ Human response
THE CHALLENGE

We have the cameras.
We need a better warning.

Many schools already capture footage, but recording an incident is not the same as getting ahead of it. Sentria proposes one connected layer between a signal and the people trained to respond.

01 / DETECTION

Passive video isn't enough.

Traditional CCTV is often reviewed after an event. Potential threats can be missed in the moment.

FROM RECORDING EARLY SIGNALS
02 / COORDINATION

Response needs a clear path.

Fast alerts are only useful when authorized people can verify and coordinate the next step.

FROM SILOS CONNECTED ACTION
03 / COMMUNITY

Every voice should be heard.

Students and staff also need an accessible, safer way to report concerning situations.

FROM HESITATION SUPPORTED REPORTING
THE SENTRIA APPROACH

One connected workflow.
Five meaningful steps.

Detection starts the conversation. Verified human decisions drive the response.

01
SIGNAL DETECTION

Spot potential warning signs.

On-site edge AI is designed to flag possible visible firearms and boundary events from compatible IP cameras, without requiring continuous cloud video processing.

Designed to work with existing infrastructure; performance requires validation.

Privacy and safety aren't trade-offs.

No facial recognition in the proposed design. No classroom cameras. On-site processing where practical, role-based access, and human verification before escalation.

Our privacy principles
WHY SENTRIA

Built around how
schools actually operate.

Thoughtful technology, local coordination, and a design that respects the reality of school budgets and connectivity.

01 / LEVERAGE WHAT YOU HAVE

Don't replace the cameras. Upgrade what they can do.

Designed to integrate with existing IP CCTV systems, using NVIDIA Jetson Orin NX edge hardware for on-site inference.

02 / EDGE-FIRST

More resilient, even when internet is weak.

Local detection and verification are planned to work on-site, with SMS as a backup alert channel.

LOW-CONNECTIVITY DESIGN
03 / HUMAN IN CONTROL

Technology assists. People decide.

Possible threats are reviewed by trained security staff before any escalation to school leaders or responders.

NO AUTONOMOUS ENFORCEMENT
04 / LOCAL RESPONSE

A safety network, not another isolated app.

Proposed school and LGU workflows support coordination with designated responders and anonymous student reports.

SCHOOL • LGU • COMMUNITY
THE ROAD AHEAD

Starting local.
Building with purpose.

We're at the ideation stage, preparing a measurable 12-month pilot in Magalang, Pampanga. No field deployment or detection performance is being claimed yet.

01Prototype & benchmarkValidate real camera compatibility, inference load, and false-alert handling.
02Deploy with partnersTarget one public and one private school, with proper approvals.
03Learn, measure, improveTest staged scenarios, response workflows, and school safeguards.
Discuss a pilot partnership
PROPOSED PILOT SCORECARDTARGETS — NOT RESULTS
01 — EVENT DETECTION
≥90%Staged visible-event detection target
02 — TIME TO VERIFY
95%Verified alerts within 60 seconds target
03 — NOTIFICATION
≥50%Faster police notification target

Designed for 2 industrial Jetson Orin NX nodes per site. Hardware capacity and actual outcomes must be confirmed with testing.

SUSTAINABLE BY DESIGN

School safety that can scale responsibly.

An illustrative B2B / B2G model that combines on-site deployment with ongoing support. Prices are estimates, not final quotes.

ON-SITE INSTALLATION
₱350,000 / school

Illustrative one-time setup for an existing, compatible 32-camera site.

  • Edge hardware & integration
  • Camera compatibility assessment
  • Deployment & initial training
LOCAL GOVERNMENT PARTNERS
Free / viewer access

Proposed LGU dashboard access, subject to agreements with each school.

  • Authorized overview
  • Coordinated response pathway
  • Privacy-aware permissions

* Illustrative figures based on the pitch deck, assuming usable existing IP cameras. Network upgrades, new cameras, applicable taxes, and vendor quotes are not included.

THE PEOPLE BEHIND SENTRIA

Local minds.
A bigger mission.

Team Sentinel is a student-led startup team based at Pampanga State Agricultural University, bringing technology and school-community insight together.

Portrait of Samantha Paual
CHIEF EXECUTIVE OFFICER

Samantha Paual

Business strategy, partnerships, and data privacy.

Portrait of Justin Ofracio
CHIEF TECHNOLOGY OFFICER

Justin Ofracio

AI, computer vision, and edge hardware.

Portrait of Jane Francisco
CHIEF OPERATING OFFICER

Jane Francisco

Mobile application, LGU dashboard, and pilot operations.

GUIDED BY EXPERIENCEMentor: Rodel PentecostesAssistant Professor III · Pampanga State Agricultural University
TEAM SENTINEL × PSAU
INVEST IN EARLIER WARNINGS

Help us bring
the pilot to life.

We're seeking seed support to develop the MVP and evaluate Sentria in two schools over 12 months.

SEED FUNDING TARGET₱1,100,00012-month MVP + two-school pilot
Start an investor conversation
PROPOSED ALLOCATION100% OF SEED ASK
FUNDING₱1.1Mtarget
Hardware & site integration52.7%
AI model development16.4%
Software & operations8.2%
Field validation5.5%
Contingency10.0%
Privacy & legal3.6%
Training & community3.6%

These are planned allocations and business assumptions from the concept pitch, subject to final procurement, legal review, and pilot validation.

GOOD QUESTIONS

Clarity builds confidence.

Answers to the questions schools and potential partners often ask.

Still have a question? Let's talk
Is Sentria already deployed in schools?
No. Sentria is currently at the ideation stage. The team is seeking partnerships and funding to prototype, test, and evaluate the system in two pilot schools.
Will schools need to replace their CCTV cameras?
Not necessarily. The proposed product is designed to reuse compatible existing IP CCTV feeds. Camera and network compatibility must be assessed before any installation.
Does the AI automatically decide that someone is dangerous?
No. Sentria's proposed system flags possible events for authorized security staff to review. The AI output is not a final judgment and should not trigger automatic enforcement.
Does Sentria use facial recognition or classroom cameras?
No. The current concept explicitly excludes facial recognition and classroom cameras, and prioritizes an on-site, privacy-conscious design.
How reliable will weapon detection be?
Real-world performance is not yet established. Detection of at least 90% of staged events is a pilot target, not a measured result. Testing must also assess false positives, false negatives, camera angles, lighting, and response procedures.
LET'S MAKE SCHOOLS SAFER, TOGETHER

The next step
starts with a conversation.

Are you a school administrator, LGU representative, technology partner, or potential investor? We'd love to explore what a thoughtful pilot could look like together.

DIRECT EMAILsamanthapaual@gmail.com
Magalang, Pampanga, Philippines

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