Skip to main content

Telegra toll system deployed in India

When Indian toll concessionaire LT selected Telegra to provide customized toll solutions for 180 toll lanes within 16 toll stations located on seven highway sections, the company was presented with a range of challenges. For instance, classifying more than 50 different types of vehicles, grouping them in only 12 categories, all in real-time with 99.6% reliability rate. That challenge was solved using an automatic vehicle classification (AVC) system based on AI Beam Curtain. This Dream Workshop product by T
June 19, 2012 Read time: 2 mins
When Indian toll concessionaire LT selected 133 Telegra to provide customized toll solutions for 180 toll lanes within 16 toll stations located on seven highway sections, the company was presented with a range of challenges. For instance, classifying more than 50 different types of vehicles, grouping them in only 12 categories, all in real-time with 99.6% reliability rate.  That challenge was solved using an automatic vehicle classification (AVC) system based on AI Beam Curtain.

This Dream Workshop product by Telegra is a fourmeter high infrared barrier. Based on advanced pattern recognition algorithm which matches vehicle side profile with reference vehicle side profiles, Telegra’s AVC achieves top classification accuracy and increases fraud detection rate thus providing more revenue to its owner. The digital image obtained in this fashion allows the intelligent processing and classification system to identify vehicles that can be classified into paying categories according to the concessionaire’s regulations.

Telegra says its TollWay software platform, designed to be open and suitable for producing customized solutions, more than met requirements. The entire software system consists of over 140 software modules grouped in five functional application areas covering incident management, system performance monitoring, Point of Sale, cash flow management and reporting.

For more information on companies in this article

Related Content

  • Jenoptik shows TraffiStar SR390 enforcement system
    March 19, 2018
    In an increasingly digital world, safety and security solutions need to be capable of detecting and deterring potential threats in real time. Jenoptik is presenting its latest end-to-end solutions for achieving more global safety in the public space. “Our technologies contribute to saving people’s lives, improving the safety of the general public both on and off the roads,” says Kevin Chevis, executive VP of Jenoptik’s Traffic Solutions Division.
  • Hella and Autoliv sign license and cooperation agreement
    May 18, 2012
    Hella Aglaia Mobile Vision, a subsidiary of Hella KGaA Hueck & Co., and Autoliv have agreed to cooperate and further develop their automotive forward-looking vision systems together. As part of the agreement that bundles the competencies of both companies, Hella Aglaia is selling an exclusive license on monovision based algorithms for traffic sign recognition (TSR), lane detection and light source recognition to Autoliv. By monitoring traffic signs, TSR helps the driver to keep the correct speed and follow
  • Image Sensing Systems and trafficnow partner on traffic information
    September 23, 2015
    Image Sensing Systems (ISS) and Bluetooth sensors provider trafficnow have completed a distribution agreement for Image Sensing Systems to sell trafficnow’s DeepBlue sensor in most of North America and parts of the Middle East. This partnership will allow customers to leverage ISS’ RTMS radar detection technology and trafficnow’s DeepBlue Sensor. The combination of these sensors provides a complete picture of traffic information by being a big data source for up to 12 lanes of continuous traffic.
  • Q-Free uses AI to transform Weigh in Motion and classification
    April 16, 2023
    Q-Free is showing off the Q-Free Hi-Trac TMU4 at this year’s ITS America event. The company says it is a best-in-class, high-speed traffic data collection and WIM system that leverages artificial intelligence for unrivalled accuracy. The single device supports up to 16 lanes of traffic at once, using AI analysis combined with in-ground sensors to collect vehicle data.