Flagship Product

AI Watch

Intelligent CCTV monitoring with precision detection, comprehensive analytics, and actionable intelligence.

43+
Detection Types
24+
Alert Types
19+
Analytics Reports
24/7
Monitoring
Industry Solution

Intelligent Facility Management

Turn your existing CCTV into an intelligent operations platform—safety, security, maintenance, and analytics from cameras you already have.

SchoolsUniversitiesGovernment BuildingsCorporate CampusesHealthcare Facilities

Our Approach

We focus on high-impact, maintainable detections that work reliably in managed facilities. We don't promise things that require constant recalibration or work only in perfect conditions.

Technology: Multi-stage AI pipeline (Computer Vision Detection → Specialized Analysis Models → LLM Verification) running on your existing CCTV infrastructure.

Fully Customizable

Your deployment can include any combination of features—more focused or more extensive—tailored to your specific needs.

Corridor monitoring: detecting open doors, tracking student and staff movement patterns.

Capabilities

Detection Capabilities

Comprehensive monitoring across all aspects of facility operations.

5 examples

Crowd & Flow Management

Monitor crowds, identify bottlenecks, and optimize traffic flow.

Crowd Forming/Dispersal
Bus Count Monitoring
Activity Heat Maps
Peak Time Identification
Rush Duration Tracking
5 examples

Vehicle Monitoring

Ensure vehicle safety and enforce zone restrictions.

Bus-Only Zone Violations
Restricted Area Detection
After-Hours Vehicle Alerts
Zone Violations Logging
Bus Arrival Tracking
5 examples

Corridor & Indoor

Monitor indoor spaces for safety and compliance.

Loitering Detection
Group Gathering Alerts
Blocked Exit Detection
Fire Door Monitoring
Restricted Zone Access
5 examples

Perimeter & Security

Protect your perimeter and detect intrusions.

Perimeter Breach Detection
Suspicious Loitering
Gate Status Monitoring
After-Hours Presence
Security Incident Logging
4 examples

Common Areas

Manage capacity and monitor common spaces.

Occupancy Exceeded Alerts
Unexpected Empty Areas
Occupancy Trend Analysis
Seating Heat Maps
5 examples

HVAC & Equipment

Predictive maintenance for building systems.

Ice Buildup Detection
Water Pooling Alerts
Rust/Corrosion Detection
Debris Accumulation
Equipment Health Scoring
5 examples

General Facility

Comprehensive facility monitoring and maintenance.

Water Leak Detection
Fence Damage Alerts
Window Damage Detection
Response Time Tracking
Condition Reporting
4 examples

Multi-Facility Analytics

Portfolio-wide intelligence and benchmarking.

Cross-Facility Comparison
Portfolio-Wide Trends
Standardized Scoring
Best Practice Identification
Real-World Examples

How It Works in Practice

See how AI Watch handles real facility management scenarios.

3 examples

Crowd Management

Morning arrival: AI counts 340 students at main entrance in 15 minutes, flags it as a peak period for staffing adjustments.

Lunch rush: System detects cafeteria at 90% capacity and sends alert to redirect traffic flow.

Assembly monitoring: Tracks crowd density during school-wide events to prevent overcrowding.

3 examples

Vehicle Zone Enforcement

Bus lane violation: Sedan enters bus-only zone during pickup—instant alert to security desk.

After-hours parking: Vehicle detected in restricted lot after 9PM triggers security notification.

Delivery compliance: Monitors delivery trucks stay within designated loading zones.

3 examples

Corridor Safety

Emergency exit blocked: Storage cart left in front of fire door—alert sent to facilities team.

Unauthorized gathering: Group of 10+ detected in restricted hallway during class hours.

Fire door propped: System detects fire door held open longer than 2 minutes.

3 examples

Perimeter Security

Fence breach: Person detected climbing perimeter fence—immediate security dispatch.

After-hours presence: Movement detected on campus grounds at 2AM triggers investigation.

Gate status: Alerts when gates left unsecured outside operating hours.

3 examples

HVAC & Maintenance

Ice formation: AC unit showing ice buildup pattern—maintenance ticket auto-generated.

Water pooling: Drainage issue detected near equipment—prevents potential flooding.

Equipment degradation: Rust patterns identified on outdoor units before failure.

3 examples

Facility Monitoring

Water leak: Moisture detected spreading under bathroom door—plumber dispatched.

Window damage: Broken window identified on building exterior during routine scan.

Fence integrity: Damaged fence section flagged for repair before security compromise.

See AI Watch for Your Facility

Schedule a demo to see how AI Watch can transform your facility management operations.