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Capabilities - People Detection

People Detection transforms standard surveillance cameras into intelligent occupancy sensors. The system is designed to count individuals, measure crowd density, track movement paths across zones, and identify events such as falls or sudden congregations. Built for facilities of any size, it can process hundreds of concurrent video streams with sub-second latency. Whether you are managing a retail floor, a transit hub, or a research facility, the platform delivers continuous, privacy-respectful analytics without requiring specialized hardware.

People Detection
Detection & Counting
Real-Time
Processing Latency
<50ms
Concurrent Streams
500+

How it works - People Detection in three steps

Get started with people detection in minutes using your existing camera infrastructure.

  • Connect Your Cameras. Add any IP camera via RTSP or ONVIF discovery. The platform auto-detects resolution, frame rate, and orientation so you can start analyzing within minutes.
  • AI Processes Every Frame. A lightweight detection model runs inference on each frame, identifying individuals and estimating their position in 3D space. Tracking algorithms link detections across frames to build continuous movement trajectories.
  • Trigger Actions & Alerts. When occupancy thresholds are crossed or specific events occur — such as a fall or a queue exceeding a defined length — the system fires alerts via webhook, MQTT, or email. All events are logged with frame snapshots for audit.

Features

Everything you need for production-grade people detection.

  • Occupancy Counting. Bidirectional counters at entry/exit points maintain real-time occupancy numbers with automatic drift correction throughout the day.
  • Crowd Density Mapping. Heat maps visualize crowd concentration across defined zones, updated every second. Useful for capacity planning and congestion avoidance.
  • Movement Path Analysis. Tracks anonymized trajectories to reveal common routes, dwell times, and bottlenecks. Data exports in standard formats for spatial analytics tools.
  • Fall Detection. Pose-estimation models identify sudden vertical-to-horizontal transitions indicative of a fall, triggering immediate alerts to designated responders.
  • Queue Length Estimation. Automatically detects and measures queues at service points, estimating wait times and alerting when thresholds are exceeded.
  • Zone-Based Dwell Time. Define regions of interest and measure how long individuals remain within them. Useful for retail engagement analysis and restricted-area monitoring.
  • Privacy-First Processing. Optional face-blurring and skeleton-only modes ensure compliance with privacy policies. No biometric data is stored unless explicitly configured.

Use cases

Real-world applications of people detection across industries.

Retail Foot Traffic Analysis

Retailers often struggle to understand in-store customer flow. People Detection can map movement patterns across aisles and departments, providing data to optimize store layout and staffing schedules.

  • Retail

Transit Station Crowd Management

Transit authorities need to prevent dangerous overcrowding on platforms. Real-time density mapping can trigger alerts when platform occupancy approaches capacity, enabling proactive crowd control measures.

  • Smart City
  • Transportation

Workplace Occupancy Compliance

Facilities managers must maintain occupancy limits in conference rooms and open offices. Automated counting can provide live dashboards and historical reporting without manual check-ins.

  • Corporate
  • Real Estate

Elder Care Fall Response

Falls in assisted-living facilities often go unnoticed for critical minutes. Fall detection can send immediate alerts to on-duty staff, reducing response times from minutes to seconds.

  • Healthcare
  • Senior Living

Event Venue Capacity Management

Large venues need to monitor entry rates and zone densities during events. Bidirectional counting and density mapping can ensure that no area exceeds safe capacity.

  • Events
  • Hospitality

Research Facility Access Monitoring

Laboratories require accurate records of who enters controlled areas and when. People Detection can provide timestamped entry/exit logs without requiring badge swipes at every threshold.

  • Research
  • Manufacturing

See how people detection 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.

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Technical specifications

Models
YOLOv8-based architectures with custom pose-estimation heads
Accuracy
Trained on COCO-derived datasets; validated for indoor and outdoor environments across lighting conditions
Latency
<50ms per frame on NVIDIA T4
Input Formats
RTSP, ONVIF, MP4, HLS, MJPEG
Output Formats
JSON, MQTT, Webhooks, CSV, Prometheus metrics
Edge Support
NVIDIA Jetson (Orin/Xavier), Intel NUC, any x86 with CUDA-capable GPU

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    5250 Old Orchard Rd Suite 300
    Skokie, IL 60077
    +1 (847) 983-3672
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