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Key Capabilities:

People Counting:

  • Two-line crossing counter with entry/exit detection using verify and confirm lines
  • Anti-jitter logic with configurable deadzone, cooldown and deduplication
  • Per-event snapshot capture for verification of every entry and exit
  • Multi-object tracking maintains unique IDs per person across frames
  • 15+ frames per second processing speed with 95%+ detection accuracy
  • Configurable confirm frames for entry and exit events separately

Driver Monitoring:

  • Drowsiness detection via advanced facial analysis for real-time drowsiness alerts
  • Phone usage detection using dedicated AI detection
  • Smoking detection with a dedicated AI model
  • Instant real-time alerts with cooldown logic to prevent duplicate notifications
  • Automatic alert snapshot capture for evidence logging
  • 10+ FPS processing speed with 95%+ detection accuracy

Bus Session Management:

  • Link driver and conductor employees to bus sessions with unique employee IDs
  • All counting and alert events automatically tied to the active session
  • Shift scheduling with configurable start/stop times and break periods
  • Automated camera start/stop based on shift schedules
  • Employee directory with name, phone and position (Driver/Conductor)
  • Session status tracking (Active/Closed) with creation timestamps

Reports & Alerts:

  • PDF, DOCX or CSV reports for people counting, driver alerts, or combined data
  • Custom date range selection for any reporting period
  • Driver alert snapshot gallery filtered by date and alert type
  • Hourly and daily distribution charts for counting and driver events
  • Summary statistics with entry/exit totals and alert breakdowns
  • Scheduled and on-demand report generation

Video Recording & Playback:

  • Record both people counting and driver monitoring camera feeds to disk
  • Browse and playback recordings organised by day and hour
  • Continuous recording with configurable segment duration
  • Video Center page for easy navigation and review
  • Delete individual recordings for storage management
  • Decoupled recording pipeline — never impacts live inference performance

Live Dashboard:

  • Real-time MJPEG video feed for both counting and driver cameras
  • Live counters for entry, exit and total with instant WebSocket updates
  • Interactive charts showing hourly activity, in vs out, and alert trends
  • Recent event timeline with snapshot previews
  • FPS, uptime and system status indicators
  • Accessible from any device on the network via web browser

People Counting — How It Works:

  1. Capture — Video frames captured from RTSP camera or video file at configured frame rate.
  2. Detect — Hardware-accelerated AI model detects all persons within the Region of Interest.
  3. Track — Tracker assigns and maintains a unique ID for each person across consecutive frames.
  4. Count — When a person crosses the counting line, direction analysis determines entry or exit with anti-jitter protections.
  5. Record & Report — Events stored in database, snapshots saved, video recorded. Generate PDF, Word, or CSV reports.

Driver Monitoring — How It Works:

  1. Capture — Driver-facing camera captures video frames continuously.
  2. Analyze — AI models analyze facial features for drowsiness and detect phone and cigarette objects.
  3. Alert — Confirmed detections trigger real-time alerts for drowsy, phone usage, or smoking with cooldown to prevent duplicates.
  4. Record & Report — Alert snapshots saved, events logged to database. Generate PDF, Word, or CSV reports for any time period.

Feature Details:

Detection & Tracking:

  • Advanced AI detection model optimised for edge hardware acceleration
  • Dedicated AI model for smoking detection
  • Advanced facial landmark analysis for drowsiness detection
  • Multi-object tracker with persistent person IDs across frames
  • Multi-core AI acceleration with parallel processing for both pipelines
  • Dynamic core allocation between people counting and driver monitoring pipelines

Platform & Infrastructure:

  • Hardware: compact, fanless edge AI device
  • OS: Linux-based embedded operating system
  • Database: secure relational database for events, sessions and configuration
  • Streaming: live video and event streaming over standard web protocols
  • Frontend: responsive web dashboard with interactive analytics charts

Counting Engine:

  • Two-line crossing counter with verify (cyan) and confirm (red) lines
  • Configurable deadzone, cooldown and deduplication parameters for accuracy tuning
  • Multi-frame confirmation for reliable entry and exit detection
  • Configurable inter-line crossing timeout to prevent stale tracks
  • ROI filtering and frame skip for performance tuning
  • Direction swap support for flexible camera installation angles

Licensing & Security:

  • Cryptographically signed license files bound to device hardware ID
  • Unique device fingerprint prevents unauthorised license copying
  • Per-feature gating — individual modules licensed independently
  • License status dashboard with colour-coded expiry warnings
  • Role-based access — Admin (full access) and User (read-only with report generation)
  • Session-based authentication with REST API for all operations

Deployment & Licensing:

Installation & Setup:

  • Automated setup installs all dependencies and configures the system
  • Provisions the database and runtime environment automatically
  • Installs as a managed service for auto-start on boot
  • Pre-configured RK3588 edge AI runtime environment
  • Supports RTSP IP cameras and video files for testing
  • Full setup from unboxing to first detection in under an hour

Web Interface (18 Pages):

  • Dashboard with live dual-camera feeds, counters, charts and event timeline
  • Session management — link drivers and conductors to active bus sessions
  • Camera config with ROI drawing on live preview canvas
  • Configuration for detection thresholds, counting lines and overlay toggles
  • Employee management, accounts, shift scheduling and driver alert gallery
  • Reports, recordings, logs, network config, system info and license management

What You Need / What We Provide:

  • Hardware: compact edge AI device
  • Camera: RTSP-compatible IP camera for counting and driver-facing camera
  • Network: local Ethernet or Wi-Fi connection
  • Browser: any modern web browser (Chrome, Firefox, Edge, Safari)
  • We provide: pre-configured edge device, pre-installed TrackSense-AI software, installation assistance, calibration and operator training, software updates during license period

API & Integration:

  • Full REST API covering authentication, counting, driver monitoring, sessions, reports, recordings, charts and system management
  • WebSocket for real-time event notifications and live video frames
  • Comprehensive API endpoints across all functional categories
  • Secure session authentication for browser and client access
  • MJPEG video feed endpoint for embedding in external monitoring tools
  • Health and node status endpoints for external system polling

Product Walkthrough: