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 LTSCPU : 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 bitCPU : 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
- Analysis and classification by wild animal type (12 types of wild animals)