Video Analytics

DNN Analytics

Transform Video Surveillance into Actionable Information

Video analytics process video in real-time and transform it into intelligent information. By automatically detecting, classifying, and tracking objects, video analytics enable security and operational teams to respond faster to threats, direct attention to abnormalities, and gain actionable insights.

Leverage Your Surveillance System to Solve Security and Operations Challenges

Video analytics offer a highly cost-effective way to upgrade your facility’s protection by transforming your existing surveillance cameras into intelligent sensors, maximizing the value of the infrastructure you already own without the need for expensive hardware overhauls. These solutions streamline operations and significantly reduce the labor costs associated with manual surveillance, providing a high return on investment and ensuring critical events are captured and reported.

Perimeter Intrusion Detection 

Detect and classify unauthorized persons or vehicles attempting to breach your facility’s perimeter before they gain access to sensitive areas. While human operators cannot reliably watch multiple screens simultaneously for extended periodsSenstar video analytics provide 24/7 automated monitoring of fence lines, building exteriors, and restricted outdoor areas, ensuring that critical events are never missed due to operator fatigue or divided attention. 

  • Intelligent threat classification: Distinguish between people, vehicles, and environmental factors like moving vegetation or animals. 
  • Weather-resistant detection: Maintain accuracy in challenging conditions including rain, snow, fog, and sudden changes in lighting. 
  • Reduced false alarms: Ignore shadows, camera shake, and vegetation movement that trigger traditional motion detection 
  • Virtual zones and tripwires: Create directional detection areas to identify approach patterns and entry attempts.
  • Sensor Fusion: Eliminate nuisance alarms from perimeter sensors by enhancing them with Senstar’s sensor fusion analytic. 

Recommended analytics:

  • Sensor Fusion – Synthesize data from sensors and video analytics to generate actionable information 

Vehicle Access Control and Management 

Managing vehicle access manually is time-consuming and prone to errors. Automated license plate recognition streamlines entry/exit procedures, maintains accurate logs, and integrates vehicle data into broader security systems. 

  • Gate control: Trigger access systems based on authorized license plate lists. 
  • Multi-lane support: Read plates across multiple lanes of moving or stationary traffic. 
  • Global compatibility: Support for license plates from over 100 countries. 
  • Custom identifications: Identify delivery trucks and fleet vehicles by unique markers. 
  • Searchable logs: Quickly locate vehicle entries/exits in archives. 

Recommended analytics:

Indoor Unauthorized Access 

Interior spaces require specialized analytics that account for indoor lighting, reflective surfaces, and architectural features. Whether protecting server rooms or retail spaces after closing, indoor analytics provide reliable detection without nuisance alarms. 

  • Lighting adaptation: Maintain accuracy despite changing artificial and natural lighting conditions.
  • Shadow rejection: Ignore shadows cast by people and objects to reduce false alarms.
  • Virtual alarm zones: Define specific areas to monitor, such as closed kiosks or restricted corridors.
  • Loitering detection: Trigger alarms when someone remains in an area longer than expected 
  • Wrong-way detection: Identify people moving in unauthorized directions through controlled access points 
  • After-hours monitoring: Schedule detection to activate when areas should be vacant 

Recommended analytics:

Suspicious Package and Item Detection 

Unattended packages in transit hubs or public venues pose security threats, while detecting removed items helps prevent theft. 

  • Unattended object detection: Identify bags/boxes left in public areas.  
  • Theft prevention: Detect removal of assets.  
  • Emergency exit monitoring: Ensure exits remain unblocked.  
  • Logistics tracking: Monitor arrival/departure of materials at loading bays. 

Recommended analytics:

Identity Verification and Access Authentication 

Face recognition provides a biometric layer that verifies identity based on unique facial features, enabling two-factor authentication and automated access processes while identifying threats. 

  • Two-factor authentication: Combine with access cards for enhanced security.  
  • Known offender alerts: Immediate notifications for watchlist matches.  
  • Robust performance: Accurate recognition despite lighting, facial hair, glasses, or pose.  
  • Liveness detection: Prevent spoofing with photos/ videos.  
  • Forensic investigation: Search historical video for individuals across multiple cameras. 

Recommended analytics:

  • Face Recognition – Fast, reliable identification using patented 2D to 3D pose correction technology 

Crowd Management and Public Safety 

Overcrowding creates safety hazards and degrades customer experience. AI-powered people monitoring and counting helps maintain safe occupancy levels and regulatory compliance in public spaces. 

  • Real-time people counting: Continuous estimation of people in designated areas.  
  • Capacity threshold alarms: Alert when specific numbers are reached.  
  • Occupancy percentage: Track occupancy vs. maximum capacity. 

Recommended analytics:

  • AI Overhead People Counting – AI-powered people counting with intelligent classification 
  • Crowd Detection – Real-time people estimation with capacity and occupancy alarms 

Enhanced Surveillance Response and Investigation 

During critical events, operators need to focus on assessment rather than camera controls. Automated PTZ tracking, tampering detection, and intelligent search capabilities dramatically improve response, resiliency, and investigation efficiency. 

  • Automatic target following: Hands-free tracking for PTZ cameras assists operators when responding to threats.  
  • Tamper detection: Receive alarms whenever a camera is tampered with (obscured or moved)  
  • High-quality capture: Ensure detailed video of incidents while optimizing video storage.  
  • Forensic search: Quickly search historical footage by object type across cameras.  
  • Timeline filtering and summarizing: Export segments filtered by match score or event and generate summary videos of key events. 

Recommended analytics:

  • PTZ Auto-Tracking – Automate pan-tilt-zoom cameras for hands-free target following 

Behavioral Analysis and Operational Intelligence 

Video analytics transform surveillance systems into business intelligence tools, providing insights into customer behavior, efficiency, and facility usage. 

  • Heat map generation: Visualize traffic patterns and high-activity areas.  
  • Dwell time analysis: Measure time spent in specific zones. 

Recommended analytics:

  • Crowd Detection – Real-time volume monitoring for quality of service 
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