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Solution

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VISCOPER is a video analysis solution to detect, re-identify,
and track humans and vehicles in CCTV videos with the use of a deep-learning based
video analysis algorithm, and to search large high-quality CCTV videos.

Expectancy effect

  • Enable to take prompt action for the incident / event
    • Real-time tracking of missing persons
    • Initial actions for chasing criminals
    • Tracking of wanted vehicles
    • Shortened search time
  • Work / Function
    • Efficient work through CCTV video analysis
    • Labor cost saving through work condition improvement
    • Establishment of the quick work process system in emergency
    • Enhancement of civil safety network
    • Reduction in additional costs with no limitation of CCTV channels
  • Applied technology
    • Detection of vehicle area
    • Analysis on the license plates in vehicle images
    • Analysis on the vehicle models in images
    • Analysis on characteristics of persons
    • Detection of designated objects and similarity comparison
    • Multi-purpose CCTV video analysis

Main functions

  • Multi-purpose
    CCTV video analysis

  • Immediate support
    of initial actions
    for accidents/events

  • AI based object
    identification and
    recognition
    (e.g., humans, vehicles)

  • GIS based object
    re-recognition and
    position tracking
    (e.g., face, license plate)

Solution features

  • 01

    Simultaneous analysis
    of multiple CCTVs

  • 02

    Analysis on vehicle models
    and license plates by vehicle type

  • 03

    Analysis on clothing
    colors & features of human objects

  • 04

    Position tracking through
    object recognition & re-recognition

Solution environment

Server

OS : Ubuntu 18.04.6 LTS
CPU : CPU Intel(R) Xeon(R) Silver 4216 (16C, 2.1Ghz) or more
RAM : 2 x 32GB DDR4 2933Mhz or more
SSD : 2 x 1.92TB SATA SSD(TBW1752)
DB : MongoDB v3.6.3

Client

OS : Windows 10 Pro 64 bit
CPU : Intel(R) Core(TM) i7-4702MQ CPU 2.20 GHz or more
RAM : 8GB or more
HDD : 1TB or more
Browser : Chrome 102.0

Solution components

Main display

  • Analysis of real-time/stored videos
    • Object selection in CCTV video
    • Analysis of all objects in the selected CCTV
    • Analysis of the registered images
    • Individual CCTV selection and radius selection
    • Establishment of the movement line as the result of analysis
    • Analyzed CCTV video check
    • Re-search and continuous search
  • SW user friendliness
    • Intuitive UI/UX design to enhance accessibility
    • CCTV device management and real-time video information search
    • GIS map based CCTV management to enhance use convenience
    • Search for a designated object in any associated CCTV video information; easy establishment of the movement line
  • Detection of wild animals
    • Analysis and classification by wild animal type (12 types of wild animals)
      : boar, goat, elk, roe deer, badger, racoon, cat, wildcat, etc.
    • High accuracy of analysis
      : boar 97%, 11 types of wild animals 85% or more
    • Remarkable saving of the time & cost for manual classification work

Cases of customers

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