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Capabilities - Behavioral Analytics

Behavioral Analytics goes beyond simple object detection to analyze how people and crowds behave in a scene. Built on ConductScience's foundations in behavioral science research, the system can classify complex events such as loitering, aggressive physical interactions, crowd surges, abandoned objects, and unusual movement patterns. These are inherently more challenging than object detection — the system addresses the real-world difficulty of interpreting human behavior from video with transparent confidence scoring on every detection. It is designed as a decision-support tool that alerts trained operators to situations requiring human judgment.

Behavioral Analytics
Behavior Types Classified
7+
Anomaly Detection
Scene-Aware
Alert Latency
<3s

How it works - Behavioral Analytics in three steps

Get started with behavioral analytics in minutes using your existing camera infrastructure.

  • Use Existing Camera Infrastructure. Behavioral Analytics works with your existing surveillance cameras. The system requires only standard video feeds — no specialized cameras or sensors. Overlapping camera views improve accuracy for complex behaviors.
  • Classify Behaviors Over Time. Unlike single-frame detection, behavioral analysis processes sequences of frames to understand actions and interactions. The system tracks individuals across time, analyzing pose, velocity, proximity, and group dynamics to classify events.
  • Alert Operators on Anomalies. When behavior crosses defined thresholds — a person loitering beyond a time limit, a physical altercation, or a sudden crowd movement — the system alerts security operators with video context. All classifications include confidence scores.

Features

Everything you need for production-grade behavioral analytics.

  • Loitering Detection. Identifies individuals remaining in a defined area beyond a configurable time threshold. Time thresholds and zone boundaries are set per camera view.
  • Aggression and Fight Detection. Classifies rapid, forceful physical interactions between individuals as potential fights or aggressive encounters. Alerts include video clips for operator verification.
  • Crowd Surge Detection. Monitors crowd density and movement velocity to detect dangerous surges, stampede-like conditions, or sudden crowd dispersal. Triggers escalating alerts based on severity.
  • Abandoned Object Detection. Flags stationary objects that appear in a scene and remain unattended beyond a configured time. Reduces false positives by tracking whether an owner is nearby.
  • Unusual Movement Patterns. Detects movement that deviates from normal patterns — running in a normally walking area, moving against crowd flow, or erratic directional changes.
  • Trip-Wire and Boundary Crossing. Defines virtual lines and boundaries that trigger alerts when crossed by people or vehicles. Directional filtering enables entry-only or exit-only monitoring.
  • Tailgating Detection. Identifies unauthorized individuals following authorized personnel through access-controlled doors. Detects when more people pass through a door than credentials presented.
  • Confidence-Based Filtering. Every behavioral classification includes a confidence score. Operators can set per-behavior thresholds to balance sensitivity against false alarm rates for their specific environment.

Use cases

Real-world applications of behavioral analytics across industries.

Transit Station Security

Metro and rail stations need to detect loitering, aggressive behavior, and abandoned bags across dozens of cameras. Behavioral analytics can prioritize feeds requiring immediate attention, reducing operator fatigue.

  • Transportation
  • Smart City

Retail Shrinkage Prevention

Shoplifting often involves predictable behavioral patterns — loitering near high-value merchandise, concealment gestures, and unusual exit behavior. Anomaly detection can flag suspicious activity for loss prevention staff.

  • Retail

Stadium and Arena Crowd Safety

Large venues need to detect crowd surges, bottlenecks, and altercations in real time. Crowd dynamics monitoring can enable safety teams to intervene before dangerous conditions develop.

  • Events
  • Hospitality

Hospital and Healthcare Facility Safety

Emergency departments and behavioral health units experience elevated rates of aggressive incidents. Early detection of escalating interactions can give security staff time to respond and de-escalate.

  • Healthcare

Smart City Public Safety

City surveillance networks monitor public spaces for safety. Behavioral analytics can transform passive monitoring into proactive alerting, detecting incidents that would be missed in banks of video feeds.

  • Smart City
  • Government

Campus Security After Hours

Universities and corporate campuses are less populated at night but still require security coverage. Loitering, boundary crossing, and unusual movement detection can supplement reduced overnight guard patrols.

  • Education
  • Corporate

Parking Structure Safety

Parking garages have complex sightlines and multiple levels. Behavioral detection can identify loitering, aggressive encounters, and vehicles circling suspiciously, alerting security to investigate.

  • Real Estate
  • Smart City

See how behavioral analytics works in your environment

Schedule a free discovery call. We will walk through your cameras, your use case, and what our detection models can do for you.

Explore a Pilot

Technical specifications

Models
Temporal action recognition (SlowFast + Transformer) with pose-based behavior classifiers
Accuracy
Classifies 7+ behavior types including loitering, aggression, crowd surge, and abandoned objects; confidence scores on all detections
Latency
<3 seconds from behavior onset to alert; per-frame inference <90ms with 30-frame temporal buffer
Input Formats
RTSP, ONVIF, MP4, HLS
Output Formats
JSON, MQTT, Webhooks, VMS integrations, CSV event logs, video clip exports
Edge Support
NVIDIA Jetson Orin (temporal models require more compute), Intel NUC with discrete GPU, on-premise GPU servers

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Contact us

  • Headquarters
    ConductScience Inc.
    5250 Old Orchard Rd Suite 300
    Skokie, IL 60077
    +1 (847) 983-3672
  • Sales & Support
    info@conductscience.com
    Mon – Fri, 9 AM – 5 PM EST