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Real-Time AI Video Intelligence

Smarter Security. Faster Decisions. Zero Blind Spots.
Obzerve Vigil is an advanced AI-powered video intelligence platform that transforms ordinary CCTV cameras into active, real-time threat detection systems.

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Obzerve Vigil transforms your existing IP cameras into intelligent safety monitors. Whether deployed on edge devices, near-edge processors, or server infrastructure, it processes video in real-time, delivering instant detection and alerts exactly where you need them.

PPE Detection

Continuously monitors workers across your facility and instantly identifies when required protective equipment is missing. Detects hard hats, reflective safety vests, and protective suits in real-time.

Configuration Options:
  • Sensitivity Adjustment: Fine-tune detection threshold based on your environment

  • PPE Type Selection: Choose which equipment to monitor independently

  • Visualization Modes: Display presence, absence, or both on video overlay

  • Detection Zones: Set regions of interest for focused monitoring

  • Alert Thresholds: Configure confidence levels before triggering notifications

  • Time-Based Rules: Different requirements for shifts or operational hours

  • Multi-PPE Detection: Simultaneously monitors helmets, safety vests, and protective suits

  • Smart Alerting: Single alert per person reduces operator fatigue

  • Zone-Based Monitoring: Define specific areas where PPE is required

  • Line Crossing Detection: Trigger alerts when workers enter protected zones without equipment

  • Real-Time Overlays: Visual indicators show detected PPE status on live video

  • Sensitivity Adjustment: Fine-tune detection threshold based on your environment

  • PPE Type Selection: Choose which equipment to monitor independently

  • Visualization Modes: Display presence, absence, or both on video overlay

  • Detection Zones: Set regions of interest for focused monitoring

  • Alert Thresholds: Configure confidence levels before triggering notifications

  • Time-Based Rules: Different requirements for shifts or operational hours

Fire & Smoke Detection

Identifies fire and smoke hazards in real-time using advanced deep learning algorithms. Detects flames, reflected fire light, smoke clouds, and ambient smoke across indoor and outdoor environments.

Key Capabilities:
  • Flame Detection: Identifies active fire in various lighting conditions

  • Smoke Recognition: Detects smoke clouds and ambient smoke particles

  • Reflected Light Analysis: Spots fire through reflected glow on surfaces

  • Multi-Zone Monitoring: Different sensitivity for different risk areas

  • Flame Detection: Identifies active fire in various lighting conditions

  • Smoke Recognition: Detects smoke clouds and ambient smoke particles

  • Reflected Light Analysis: Spots fire through reflected glow on surfaces

  • Multi-Zone Monitoring: Different sensitivity for different risk areas

  • Sensitivity Controls: Separate thresholds for fire and smoke detection

  • Detection Visualization: Real-time overlays showing hazard locations

  • Minimum Detection Duration: Set how long hazard must be visible before alerting

  • Zone Management: Create inclusion/exclusion areas for focused monitoring

  • Alert Prioritization: Configure severity levels for different detection types

  • Environmental Tuning: Adjust for normal conditions (industrial steam, dust)

Slip & Fall Detection

Detects slip and fall incidents as they happen, enabling immediate response and reducing time-to-assistance for injured personnel.

Key Capabilities:
  • Real-Time Detection: Immediate identification of fall events

  • Pattern Recognition: Differentiates falls from intentional movements

  • Incident Documentation: Automatic recording of fall events

  • Location Tracking: Pinpoints exact camera and zone of incident

  • Response Coordination: Routes alerts to appropriate personnel

  • Real-Time Detection: Immediate identification of fall events

  • Pattern Recognition: Differentiates falls from intentional movements

  • Incident Documentation: Automatic recording of fall events

  • Location Tracking: Pinpoints exact camera and zone of incident

  • Response Coordination: Routes alerts to appropriate personnel

  • Detection Sensitivity: Adjust threshold for fall event classification

  • Time Delay Buffer: Set grace period to reduce false positives

  • Coverage Areas: Define high-risk zones for focused monitoring

  • Alert Routing: Configure notification recipients by zone or severity

  • Recording Duration: Set pre/post-event recording length

Vigil vs. Traditional Monitoring

Capability

Real-time detection

Coverage

PPE compliance

Fire/smoke detection

False alarms

Accuracy

Scalability

Night operation

Response time

Manual Monitoring

Limited by staff availability

Spot checks only

Manual inspection

Visual observation

High

Variable

Limited by personnel

Requires staff

Minutes to hours

Traditional CCTV

Recording only

Review after incident

No detection

No detection

N/A

N/A

Limited by storage

Records only

After incident review

Instant AI detection

Continuous monitoring

Automated detection

AI-powered alerts

70% reduction

95%+

Unlimited scaling

24/7 AI monitoring

Instant alerts

Why Choose Us

Why Choose Obzerve Vigil?

We don’t just deliver AI — we deliver confidence.

Real-Time AI Monitoring

AI-powered real-time video analysis that instantly detects unusual activities and generates actionable alerts without manual monitoring.

Faster Incident Response

Immediate alerts help security teams respond faster, reducing damage, risk, and downtime during critical situations.

Intelligent Threat Detection

Advanced computer vision accurately identifies suspicious behavior, unauthorized access, and safety violations with minimal false alerts.

Scalable & Hardware-Friendly

Seamlessly integrates with existing camera infrastructure, eliminating costly hardware upgrades while scaling across multiple locations.

Data-Driven Security Insights

Transforms raw video footage into meaningful insights, helping organizations improve safety strategies and optimize operational decisions.

24/7 Automated Surveillance

Continuous AI surveillance ensures round-the-clock monitoring without fatigue, human error, or the need for constant manual supervision.

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Ready to Upgrade Your Security?

Experience the power of real-time AI video intelligence with Obzerve.

Ready to Upgrade Your Security?

Join Our Mission to Revolutionize Surveillance with AI

Experience the power of real-time AI video intelligence with Obzerve.

Frequently Asked Questions

Browse through our FAQs for clear, concise answers to your most pressing questions.

Does Vigil work with my existing cameras?

Yes. For edge deployment, your cameras need AI processing capability. For near-edge deployment, any IP camera with standard video streaming (RTSP, HTTP, ONVIF) works with our Edge Box. Contact us to verify compatibility with your specific setup.

Edge runs directly on AI-capable cameras. Near-edge uses our Edge Box connected to any standard IP cameras—the box handles all AI processing locally. Both keep your data on-premises.

Vigil detects hard hats/helmets, reflective safety vests, and protective overall suits. You can enable detection for all three or choose specific items based on your safety requirements.

Yes. Using Region of Interest (ROI) tools, you can define specific areas where certain PPE is required—like helmets in construction zones but not in office areas.

Vigil complements, not replaces, traditional fire safety systems. It provides visual detection across the entire camera view and can identify fire/smoke from a distance—particularly valuable in large open spaces, outdoor areas, and locations where traditional detectors are impractical.

Yes. Vigil uses advanced algorithms to differentiate actual fire/smoke from industrial steam, fog, dust clouds, and vehicle exhaust. You can also fine-tune sensitivity and create exclusion zones for areas with regular steam or dust.

No. All video processing happens locally—either on the camera or Edge Box. Only detection events and metadata (alerts, timestamps) are sent to your VMS. No video footage leaves your network unless you specifically configure it to.

Vigil includes multiple tuning options: adjust sensitivity thresholds (0-100 scale), set minimum detection duration, create exclusion zones, configure confidence requirements, and use line crossing for entry/exit monitoring. Our technical team assists with optimization during deployment.

Yes. One camera can run PPE detection, fire & smoke detection, and slip & fall detection at the same time without performance degradation.

Detection continues operating locally. Alerts are queued and synchronized when connectivity is restored. Detection doesn’t depend on cloud or internet connectivity.

Yes, as long as your cameras provide adequate visibility. Cameras with IR illumination or good low-light sensors work well. Detection accuracy matches video quality—if a human can see it clearly, Vigil can detect it.

Vigil maintains 95%+ detection accuracy for PPE compliance in properly configured environments with adequate lighting and camera positioning. We achieve 70% false alarm reduction vs. traditional systems.

Objects must occupy at least 100×100 pixels in the camera’s field of view for reliable detection. Proper camera positioning ensures adequate resolution in monitored areas.

Yes. Region of Interest (ROI) tools let you define inclusion zones (where to monitor) and exclusion zones (areas to ignore). Create multiple zones per camera with different detection rules.

No. Vigil integrates seamlessly with existing VMS platforms including Genetec Security Center, Axis Camera Station, Milestone XProtect, and others via standard protocols (ONVIF, webhooks, APIs).

Yes, if your VMS supports mobile notifications. Vigil sends events to your VMS, which handles alert routing—including mobile push, SMS, or email based on your configuration.

Yes. Vigil logs all events with timestamps, camera locations, and event types. Generate reports showing PPE compliance rates, fire/smoke alerts, slip/fall incidents, trend analysis, and violation patterns.

Edge deployment takes 15-30 minutes per camera. Near-edge deployment takes 1-2 days for initial setup. Full site deployments typically complete within 1-2 weeks.

Yes. We offer 90-day pilot programs starting with 5-10 cameras, including full feature access, hardware (for near-edge), installation support, and training.

Vigil is licensed per camera/stream with perpetual or subscription options. All three detection types are included. Volume discounts apply for 10+ cameras. For near-edge, Edge Box hardware is included in package pricing.

Absolutely. Many customers start with a pilot of 5-10 cameras, validate performance, then expand. Licenses can be added anytime with volume discounts applied retroactively.

Not for near-edge deployment—Vigil works with existing IP cameras. For edge deployment, you only need new cameras if yours lack AI processing capability. You can mix deployment types as needed.

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