FETC International

FETC International

FETCi provides innovative technological solutions in the field of smart transportation. We integrate cutting-edge technologies such as AI license plate recognition, big data analysis, and intelligent screen monitoring to establish a safer, more efficient, and sustainable urban transportation system. Inheriting over 20 years of experience in the development and operation of electronic toll collection systems on highways from our parent company FETC, we are composed of a professional team dedicated to enhancing technological capabilities, reducing carbon emissions, and creating a favorable traffic environment. We progressively expand applications from smart transportation towards the development of smart cities.

FETCi Traffic Management and Control System

Solution Description

Smart Transportation

The Highway Traffic Management and Control System of FETC International is a centralized management system that is designed for highway road management operator to ensure the safety of road users and maintain the smooth traffic flow. Combined the top-notched technology innovations and over 20 years transportation integration experiences, FETC International provides a total solution and cross-platform integration to fulfill the exclusive demands of our customers in different countries.

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Solutions

FETCi AI Automatic License Plate Recognition System
FETC International
FETC International
735    0
Smart Transportation
FETCi AI Automatic License Plate Recognition System
Automated License Plate Recognition (ALPR) is widely employed in areas like highways, parking lots, urban roads, and many other controlled areas that need traffic management or law enforcement to preserve both the safety of road users and vehicles. However, ALPR encounters diverse environments and unexpected challenges, making it crucial to develop more efficient and precise solutions. FETCi AI ALPR Supports license plate designs and formats from over 100 countries, including various colors and fonts used in Asia and the Far East. Stacked letters and complicated background can also be identified through the power of AI.​ FETCi's AI ALPR solution features easy integration and high recognition success rate; it combines FETCi's accumulated decades of Toll Collection experiences and practical events database and analysis. With the assistance of FETCi's professional technical team, you can quickly build a complete, highly accurate, and easy-to-operate AI ALPR solution.
FETCi Weigh In Motion System
FETC International
FETC International
706    0
Smart Transportation
FETCi Weigh In Motion System
Weigh in Motion is becoming widely adopted by many cities around the world to manage the access of heavy goods vehicles. Highway authorities are also using WiM as a tool to charge tolls by vehicles' weights and further prevent overweight vehicles to enter certain road sections. FETC International adopts pre-selection model and three gantry structure and deploys WiM sensors and equipment to collect vehicle data and then transmit data to computerized platform for weight management and send alerts to enforcement if a vehicle doesn't comply weight limits. ​
FETCi AI-based Automatic Vehicle Classification
FETC International
FETC International
688    0
Smart Transportation
FETCi AI-based Automatic Vehicle Classification
Vehicle Classification enables transportation authorities to automatically identify and classify vehicles according to their visual attributes. This technology finds widespread application in traffic management systems, toll collection, parking facilities, and security setups. FETCi leverages AI algorithms and machine learning methodologies to analyze video data collected through LiDAR technology. With an extensive database and repository, FETCi's AI AVC proficiently sorts vehicles into distinct categories, including cars, trucks, motorcycles, buses, and more. By integrating LiDAR technology with AI-powered image recognition, FETCi establishes a vehicle recognition system equipped with self-enhancement and deep learning capabilities.
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