Efficient traffic signal management without clogging, AI traffic signal control of LAON PEOPLE becomes possible.
Some lanes have no cars, the signals are blue, and the lanes with me are blocked, but you can not move with red signals. Some lanes have no cars, the signals are blue, and the lanes with me are blocked, but you can not move with red signals. We think you've imagined that every lane you go to automatically open the signal. The only thing you ever imagined is now becoming a reality. With AI, vehicles and traffic volume can be identified and calculated, and traffic signals can be managed to reduce traffic congestion, reduce fine dust levels, and even reduce oil costs.
Experience the introduction of LAON PEOPLE's artificial intelligence traffic solution-TBD
Applied Solutions
People Counting
Due to the high level of BIS (Bus Information System), domestic buses already provide real-time information (based on the number of passengers in real-time, information on empty seats in a wide area bus and congestion of traffic) through bus information terminal and smartphone/web, while Japanese buses often pay bus fares in cash, making it difficult to collect information and provide real-time information to passengers.
As a result, the service needs to provide convenience to bus passengers have been expanded, and LAON PEOPLE has developed and applied a solution suitable for entering the market that is easy to install and utilizes high-performance edge devices for processing AI deep learning.
[Configure bus passenger counting solution of LAON PEOPLE]
The Differentiation of LAON PEOPLE "People Counting Solution"
1) Use of edge devices with AI deep learning algorithm and NPU for deep learning only
LAON PEOPLE's solution uses optimized AI deep learning algorithm and set-top boxes dedicated to AI deep learning with NPU chips, enabling high performance processing without a separate PC or analysis server, and enabling quick checking of real-time results..
When applying this solution, it has the advantage of saving money compared to PC and being installed in a set-top box for various purposes..
2) Support 4-channel 2D color AHD camera
3) Support CMS (Customer Management Service) server & control system
LAON PEOPLE's solution supports multiple access CMS servers and control systems to view deep learning processing results and the status of set-top boxes in real time.4)Combining AI deep learning algorithms to support the provision of complex information
LAON PEOPLE's solution combines head detection and face detection and analysis algorithms to provide not only people counting but also additional information (age/gender) on passengers and people in and out.
Pedestrians are tracked through AI image detection, and ultra-real-time information is provided on site through edge image detector.
Application Effect
Example of AI Pedestrian Detection
LAON PEOPLE is the first edge-shaped AI imaging detector to track pedestrians, providing area-specific (crosswalk/road), pedestrian counting and pedestrian travel routes. You can utilize various C-ITS applications by utilizing GPS information.
LAON PEOPLE's solution uses a regular portable fixed camera to analyze traffic volume and 6 different types of vehicles (passenger car / small bus / large bus / small truck / large truck / trailer) without installing a separate camera on traffic lights or street trees.
Application Effect
Example of AI Traffic Survey
LAON PEOPLE addresses limitations that have previously been forced to visually inspect traffic.
This solution calculates the optimal TOD based on automatically collected traffic information and provides optimal signal operation efficiency through real-time signal control.
Application Effect
Example of Smart Intersection Application
LAON PEOPLE works with local governments, the National Police Agency, and the industrial complex to ensure reliability and stability, and to provide transportation solutions that satisfies all people by reducing commuting time, reducing fine dust emissions, and reducing fuel costs.
It automatically collects traffic information such as traffic volume by analyzing images in real time through deep learning and provides traffic statistics.
Application Effect
Example of Smart Intersection Application