ConductVision Enterprise
Behavioral Analytics
Loitering, aggression, crowd surges, and abandoned objects, anomaly detection grounded in behavioral science. Available for pilot.
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.
How it works
Behavioral Analytics in three steps
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
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
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.
transportationsmart 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.
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.
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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.
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.
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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.
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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.
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Technical overview
- Models
- Temporal action recognition (SlowFast + Transformer) with pose-based behavior classifiers
- 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
Accuracy and latency are measured against your footage and cameras during pilot scoping; we publish figures only with the conditions they were measured under.
Where this capability is used
Smart City
Transform urban infrastructure with real-time visual intelligence across every intersection, corridor, and public space.
Logistics
Accelerate warehouse and distribution operations with vision-driven tracking from dock door to last mile.
Construction
Enforce jobsite safety, document progress automatically, and track labor and equipment across every phase.
Retail
Convert existing security cameras into customer intelligence and operational optimization tools.
Healthcare
Improve patient flow, staff safety, and facility operations through non-diagnostic visual monitoring.
Oil & Gas
Enhance safety, detect anomalies early, and maintain continuous visual oversight across remote and hazardous sites.
Related capabilities
People Detection
Occupancy intelligence from the cameras you already have. Available for pilot at any scale.
Weapon Detection
Identify firearms, edged weapons, and threat objects, with transparent accuracy reporting. Available for pilot.
Thermal Imaging
Detect threats, overheating equipment, and elevated temperatures, in darkness, with no vendor lock-in. Available for pilot.
Evaluate Behavioral Analytics on your footage
One prioritized outcome, your cameras, a structured results review.
