TrafficFlow Intelligent Traffic Management Solution

In the face of diverse and complex visual patterns in real-world environments, particularly for the bustling traffic of #Dhaka city, end-to-end vehicle analytics presents a formidable challenge. The #TrafficFlow software conquers the complexities of the city with innovations focused on revolutionizing real-time #trafficmanagement and ushering in a new era of intelligent transportation solutions.

The architecture leverages a series of specialized deep neural networks, each tailored for specific tasks like vehicle detection, classification, and license plate recognition backed by accelerated parallel computing frameworks. Unlike traditional Convolutional Neural Networks (#CNN), TrafficFlow leverages state-of-the-art Vision Transformer (#ViT) models, renowned for their robustness and accuracy in diverse scenarios.

While CNNs rely on local operations that lack a global understanding of an image, ViTs excel in providing long-range dependencies and global context through a self-attention-based approach. ViTs' inherent scalability and adaptability enable handling a wide range of tasks without needing task-specific architecture adjustments, making them ideal for Dhaka's complex traffic.

A notable capability of the system is its adeptness in classifying 25 distinct categories of vehicles specific to the #Bangladeshi context. Additionally, the integration of optical flow-based speed and direction estimation features the identification of overspeeding and illegal maneuvers, offering valuable insights for traffic management.

The innovative Recurrence sorting method significantly enhances real-time license plate identification, mitigating false readings in diverse camera angles and occlusions. Deep learning-based Re-Identification (#ReID) tracker further contributes to the system's prowess, ensuring superior tracking of vehicle movements within camera frames, even when obscured in concurrent video frames.

This state-of-the-art solution has garnered widespread adoption by governmental and enterprise authorities in #Bangladesh, offering simultaneous monitoring, search, identification, and control of vehicular traffic in the bustling urban landscape.


  • Receive video from multiple video sources including:
    • General IP cameras
    • RTSP streams
  • Advanced Vehicle and LPR Analytics includes:
    • 25 Category vehicle classification for Bangladesh
    • Vehicle Movement Direction Detection
    • Vehicle Number Plate Recognition
    • Multi-Directional Vehicle Counting
    • Vehicle Speed Estimation
    • Wrong Direction Vehicle Identification
    • Stopped Vehicle Detection
    • Vehicle Color Profiling
  • Standalone Reporting system including:
    • Search by filter criterons
    • Exportable pdf and excel report


Multiple Video Sources

  • Support a wide range of industry standard video sources, including RTSP Camera Stream, NVR, or CMS using ONVIF Profile S/G/T

Secure User management

  • Supports multiple system groups and user roles.
  • Supports single device login connection.

Live Notification and Alerts

  • Real-time Notification via email/app/alert whenever vehicle has been identified.
  • Notification App available for iOS and Android devices.

Vehicle Analytics Plugin

  • Enroll different vehicles using a web portal or through a mobile app.
  • Assign each vehicle into one or more groups for easier identification (i.e. VIP, Blacklist, visitor, supplier, distributors etc.)

Flexible Design & Configuration

  • Highly configurable license plate capture size with minimum size.
  • Configurable recognition threshold and License Plate capture technology.
  • Recognize License Plate from any position of the vehicle.

Reliable on Different Environment

  • Recognize License Plate within 3.5 meters camera height mounting location.
  • Accurate down to 35 LUX ambient light condition.
  • Supports Video feeds in Color & Monochrome mode

Comprehensive Reports

  • Detailed reports for recognized and unknown number plate.
  • Daily/weekly/monthly/yearly attendance reports with vehicle Entry/Exit records.
  • Export results to Excel & HTML format for further analysis

In-Depth Integration Capabilities

  • Integrate with a wide variety of application scenarios ranging from: welcome signage to boom-barrier License Plate authentication to validate vehicle’s License Plate.
  • Integrate with Vehicle tracking System to identify and track (Different classes of Vehicle, Blacklisted, Whitelisted etc.).
  • RESTful API available


Object DetectionVehicles, License Plates
Vehicle ClassificationBus, Truck, Pickup, Sedan Car, Micro Bus, Motorcycle, CNG Auto rickshaw etc
Vehicle Motion ProfilingEntry/Exit Count, Overcrowding, Motion Direction
License Recognition LanguageBangla / English
License Plate ColorWhite / Green
License Recognition Accuracy~ 98%
License Recognition Modes1:N
Recognition ConditionsDay/Night, +/- 30 degree skew (Vertical/Horizontal)
License ID enrollmentRuntime or API Connectivity
Log EvidencesCropped Images of Vehicles correlated with their License plate including Timestamp and Plate Number in Text Format, Short Video Clips of Each Triggered Events
Vehicle Color Profiling12 type colors (Optional)
Perimeter selectionGraphical, Smart filtering, Uneven lines and boxes supported
EnrollmentRuntime, DB Connectivity, API Integrated
Smart RecordEvent and Evidence based Video Clips
Notification MethodAlarm, E-mail, Dashboard, Push Notification on App
Camera CompatibilityONVIF Profile S/G/T
ReportingDaily/Monthly/Time separated exportable log
API SupportREST API (JSON)/ MQTT Broker Connection
Camera Abnormality DetectionVideo Loss /Tempering/Scene Change Detection
Log Search Filter MethodsTime and Date, License Plate number, Camera number and location

Choose Your Hardware



  • GPU: 128-core Maxwell 0.5 TFLOPS(FP 16)
  • CPU: 4-core ARM A57
  • RAM: 4 GB 64-bit LPDDR4 25.6 GB/s
  • Display: HDMI 2.0,eDP 1.2a Multiscreen Display 1/4/8/16
  • Storage: Built-in 256GB NVMe SSD, Optional USB to SATA HDD Bay attachable
  • Auxiliary Interface: 1x USB 3.0 port, 4x CSI Ports
  • Network: Interface 1 RJ-45 Port 10/100/1000 Mbps
  • Number of Cameras: 4


  • GPU: 384-core Volta 21 TOPS(INT 8)
  • CPU: 6-core Carmel ARM CPU(3x) 2 MB L2 + 4 MB L3
  • RAM: 8 GB 128-bit LPDDR4x 51.2 GB/s
  • Display: 2x HDMI 2.0 Multiscreen Display 1/4/8/16
  • Storage: Built-in 512GB NVMe SSD, Optional USB to SATA HDD Bay attachable
  • Auxiliary Interface: 1x USB 3.0 port, 4x CSI Ports
  • Network: Interface 1 RJ-45 Port 10/100/1000 Mbps
  • Number of Cameras: 8


  • GPU: 512-core Volta + NVDLA 10 TFLOPS(FP16) 32TOPS(INT 8)
  • CPU: 8-core Carmel ARM CPU(4x) 2 MB L2 + 4 MB L3
  • RAM: 16 GB 256-bit LPDDR4x 137 GB/s
  • Display: 2x HDMI 2.0 Multiscreen Display 1/4/8/16
  • Storage: Built-in 1TB NVMe SSD, Optional USB to SATA HDD Bay attachable
  • Auxiliary Interface: 2x USB 3.0 ports, 4x CSI Ports
  • Network: Interface 1 RJ-45 Port 10/100/1000 Mbps 
  • Number of Cameras: 16

Performance and Accuracy Guaranteed

Get a free 7 days trial on your premise with single camera or purchase for 4 to 16 camera channels