Overview
Real-Time AI Video analysis solution
AWAS-Insight is Real-Time AI Video analysis solution that can be used in any environment where CCTV infrastructure is deployed.
A specialized video analysis system enables real-time simultaneous analysis from small to large-scale sites.
Based on high accuracy, fast data analysis, and scalability, it enables smartdata collection and monitoring, and provides predictive analytics to help you understand the core of your business and make optimal decisions.
It can be applied in a variety of industries and is a powerful solution that improves corporate productivity and efficiency.
Product Features
Product Features
Real-Time AI Video analysis solution
- Simultaneous multi-channel real-time video analysis (up to 64 channels simultaneous collection and analysis)
- Safety-specific solution that provides early warning to managers
- Securing various event technologies related to public and disaster prevention (crowd, falling down, trespassing/loitering, transportation disadvantaged, abandonment, mosaic/personal information protection, illegal riding, assault, gender, etc. (more than 10 types)
- Application of image improvement technology considering adverse environmental conditions / performance improvement
- Technology protection through patent applications and periodic KISA certification
- Reducing learning time through auto-labeling technology
- Web-based real-time monitoring
- Can be linked with existing control systems
Function
High-performance hybrid video analysis technology
- It provides high-performance image analysis using a combination of deep learning and vision recognition technology using the HI-PPNN model, enabling image analysis to be performed at optimal speed and high performance.
Minimizing misrecognition by introducing noise reduction technology
- Equipped with its own Noise reduction technology, it eliminates misrecognition elements and improves judgment accuracy, and provides a user-friendly UI/UX that allows detailed control by freely setting areas by clicking on the screen.
Optimized object tracking and specialized multi-event analysis technology
- By applying optimized multi-event technology by improving the analysis rate of frames per second, it detects people in the area using crowd analysis methods to increase visual readability according to human traffic.
Public Safety
Crowd
Detection of congestion in designated areas
Falling down
Detection of human falling down
Trespassing/loitering
Detection of intrusion/loitering in designated area
Transportation disadvantaged
Detection of mobility impaired persons (wheelchair, cane)
Abandonment
Detect abandoned situations/actions in designated areas
Mosaic/privacy protection
Detection of people and processing mosaics
Illegal ride
Detection of illegal public transportation behavior
Violence
Detection of fighting behavior/movement
Gender
Distinguishing between men and women
Industrial Safety
Safety equipment
Detection of whether safety equipment is worn or not
Traffic analysis
Detection of traffic situation (crowdness, congestion)
Disaster Safety
Water level
Detection of water level in designated area
Urban flooding (at night)
Detection of flooding in designated area (possible at night)
Fire/explosion
Detection of fire/explosion situations
Effect of application
Accurate insight and quick response through diverse situational awareness
AWAS-Insight can help you understand various situations through real-time video analysis and management.
It also provides accurate insight so you can respond quickly to emergency situations.
Through real-time video analysis
80% improvement in initial response speed
Efficient operation and management
Cost savings possible
Detect abnormalities and prevent accidents
Increased security level
Field of application
Public facilities, safety, manufacturing, construction, distribution
Department store · airport · supermarket
Monitoring, intrusion, abandonment, crowd, falling down, etc.
Manufacturing · industrial sites
Safety equipment recognition, fire, break-in, falling down, etc.
Subway · transportation · parking lot
Abandonment, falling down, traffic analysis, illegal riding, transportation disadvantage, crowd, etc.
Main Portfolio
Seoul Metro
Aging monitoring system improvement project of Line 8
Establishment of deep learning-based intelligent video analysis monitoring system that introduces historical situation analysis and user convenience settings
FunctionAutomatic detection of abnormal situations (illegal riding, falling down, trespassing, loitering, abandonment, fire, unmasking, congestion, transportation disadvantage), high-speed search, detection area sensitivity and alarm importance level setting, analysis target filtering, specify multiple areas of various shapes within one screen, recognition of different objects/actions by area, setting detection object size
Effect Providing convenience during monitoring by introducing user convenience functions Minimizing false positive rate through filtering function according to environmental factors