WATCHCAM Human Analytics Solution

General CCTV/IP cameras are not smart enough to detect & recognize persons & objects therefore unable to notify on undesirable incidents. WATCHCAM combines Deep Learning & Video Analytics to automate surveillance in the field of public safety along with home and enterprise security by identifying Faces, Vehicles, License Plates & other Objects of interest to get instant notifications of events of interests. No need to add expensive smart cameras, just add our iNVR Systems to your existing IP cameras to make them smart, instantly !


  • Receive video from multiple video sources including:
    • General IP cameras
    • RTSP streams
    • NVRs
  • Facial Recognition service includes:
    • Person of intereset (POI) management
    • Live notification on VIP/blacklisted person arrival
    • Restful APIs to link with Third party systems
  • Standalone attendance taking system, including:
    • Investigation Report
    • Attendence Report


Person of Interest (POI) Management

  • Enroll persons of interest using a web portal or through a mobile app
  • Assign each person into one or more groups for easier identification (i.e. VIP, Blacklist, Staff, Visitor)

Secure User management

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

Flexible Design & Configuration

  • Configurable recognition threshold and face capture technology
  • Configurable minimum face capture size
  • Configurable Region of Interest
  • Auto-flip and mirror function on face enrollment

Live Notification and Alerts

  • Real-time Notification via email/app/alert whenever a POI has been identified
  • Notification App available for Desktop (cross platform), iOS and Android devices

Multiple Video Sources

Support a wide range of industry standard video sources, including RTSP Camera Stream, NVR, or CMS

Comprehensive Reports

  • Detailed reports for recognized and unknown faces
  • Daily attendance reports with POI Entry/Exit records
  • Export results to Excel & HTML format for further analysis

Reliable on Different Environment

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

In-Depth Integration Capabilities

  • Integrate with a wide variety of application scenarios ranging from: welcome signage to turnstile face authentication to validate person’s face
  • Integrate with Face tracking System to identify and track POIs(VIPs, Blacklisted, Visitors etc)
  • Validate visitor’s identifications using Visitor Management System 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