WATCHCAM Vehicle 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 !

FEATURES

  • Receive video from multiple video sources including:
    • General IP cameras
    • RTSP streams
  • Advanced Vehicle and LPR service includes:
    • Parking management through vehicle classification and License Plate Recognition.
    • Live notification on VIP/blacklisted Vehicle arrival
    • Restful APIs to link with Third party systems
    • Intelligent Traffic Management
  • Standalone attendance taking system including:
    • Investigation Report
    • Vehicle Attendance Report

KEY FUNCTIONS

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

SPECIFICATIONS

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Choose Your Hardware

Nano-web

LITE

  • 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
Nx-web-1

PRO

  • 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
AGX-web

ULTIMATE

  • 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