Edge Solution 

Edge Solution

AI Pedestrian Safety System (EDGE Solution) that prevents traffic accidents within crosswalks.

This system detects pedestrians within crosswalks and waiting areas and displays the information in real time on a large screen, helping prevent right-turn vehicle accidents at crosswalks.

 Edge Solution

AI Pedestrian Safety System (EDGE Solution)

that prevents traffic accidents within crosswalks.

This system detects pedestrians within crosswalks and waiting areas and displays the information

in real time on a large screen, helping prevent right-turn vehicle accidents at crosswalks.

Features of the AI Pedestrian

Safety System



Preventing traffic accidents caused by right-turning vehicles by detecting pedestrians in real time and guiding them through a large display
High-performance cameras acquire optimal images even under harsh lighting conditions such as low light and backlight compensation
Enhanced video-analysis capability by adding a GPU to the existing field controller
Equipped with the TIVA2 video-analysis engine, validated across various systems, ensuring consistent detection accuracy in all environments
High-brightness display provides clear information to drivers both day and night
Through additional training using MLOps, the system detects all types of pedestrians with over 95% accuracy and supports conditional filtering

System Components 

Pedestrian detection → Control of LED display / pedestrian safety guidance lights

 Image Sensor 
  • 8MP, 1/1.8” CMOS Sensor
  • 4.5–10mm (2.2x) Motorized Varifocal Lens

  • Maximum Resolution: 3840 × 2160

High-Brightness & Low-Light Performance 
  • Minimum Illumination:
    • Color: 0.05 Lux

    • B/W: 0 Lux (with IR LED)

  • Day & Night: Auto (ICR)

  • Effective Range: 30 meters

Additional Features
  • Optimal image capture even in environments with strong light and deep shadows
  • Backlight compensation functions: BLC, WDR, SSDR
  • PoE+ (IEEE 802.3at), 12V DC

Field Controller (HW): Proven Through Deployment Across Diverse Sites 

GPU Upgrade 
  • Intel Core i7-11700 2.54GHz Processor

  • 8GB Memory (Expandable to 16GB)

  • 1TB Storage / Windows OS

  • Local system architecture with CPU + GPU configuration enables stable, high-performance video analysis

Rugged Enclosure Design 
  • High-strength stainless-steel structure

  • Dual installation of ventilation fans (controller + enclosure)

  • Operating Temperature: -25℃ to 60℃

  • Waterproof and dustproof design

  • Equipped with dual locking mechanism

Field Controller (SW): Video Analysis Software Built on Years of Accumulated Expertise 

Video Analysis Software – TIVA2®
  • A validated video analysis solution applied to various systems including smart intersections, vehicle detectors, smart crosswalks, actuated signal detectors, and incident detection systems

  • Achieves top-tier grades in basic performance evaluations for smart intersections, vehicle detection, and incident detection

  • Detects all pedestrian types—umbrella users, strollers, bicycle-riding pedestrians, etc. (Enhanced with MLOps)

  • Motorcycle rider detection filtering (Enhanced with MLOps)

  • Detection of pedestrians in crosswalk waiting zones

  • Remote control, monitoring, and scheduling of displays

Field Controller (SW): Outdoor Large LED Display System with Years of Field Optimization 

Ensured Visibility Day and Night  
  • Supports LCD/LED display integration

  • Displays with 5,000 cd or higher brightness for clear visibility even in daytime conditions

  • The horizontal screen is split to show real-time crosswalk status (object detection view)

  • During normal operation, default messages are displayed; when pedestrians are crossing, the display automatically switches to designated warning messages


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