Skip to main content

Tattile software plugin for traffic monitoring and incident detection

Tattile presents a plug-in software tool as an extension to its double head camera solutions of the Vega series. Rigel software kit enables traffic analysis systems to become an all-in-one solution for both reading number plates and extensive traffic monitoring. Rigel is a real-time traffic analyser able to manage alarms and notifications triggered by a comprehensive list of traffic events. It is available as plugin software and integrates both image analysis features and video streaming capabilities with
October 25, 2018 Read time: 2 mins

592 Tattile presents a plug-in software tool as an extension to its double head camera solutions of the Vega series. Rigel software kit enables traffic analysis systems to become an all-in-one solution for both reading number plates and extensive traffic monitoring.

Rigel is a real-time traffic analyser able to manage alarms and notifications triggered by a comprehensive list of traffic events. It is available as plugin software and integrates both image analysis features and video streaming capabilities with the most commonly used video management systems. All necessary processing is provided onboard.

The company says the Rigel software can operate with approaching and receding traffic, in day and night and it can cover multiple lanes. The traffic events that can be detected include wrong way driving of a vehicle, stopped vehicles, traffic slowdown and jams.

Additionally, the software even detects abnormal incidents not directly related to vehicles such as lost cargo on the road, smoke and low visibility as well as pedestrians in the road area. Also, the plugin can simultaneously operate vehicle counting and measure traffic density.

The Rigel software plugin changes the Tattile Vega cameras into fully real-time traffic analysis systems providing vehicle control data as well as traffic management data, the company adds. 

Stand: 1C61

Related Content

  • IRD trusts in AI for traffic count and classification
    October 13, 2020
    IRD has announced its iTheia video-based traffic counting and classifying system that uses artificial intelligence (AI). Instead of classifying vehicles based solely on axle spacing or vehicle length parameters, iTheia classes vehicles based on visual input and a machine learning algorithm.
  • Radar effective as detection tool for hard shoulder running
    July 23, 2012
    Navtech Radar's millimetric-wave systems are being researched on the M42 in England to look into how this type of detector can assist in the opening of the hard shoulder as an additional running lane. Here, the company's Stephen Clark talks about the technology being used. In England, the Highways Agency's (the HA, an executive agency of the Department for Transport) Managed Motorways system - formerly called Active Traffic Management - uses electronic signs and signals mounted on gantries to direct drivers
  • ISS introduces wrong way detection system
    February 9, 2018
    Image Sensing Systems (ISS) has added a wrong way detection and notification system designed to alert drivers travelling the wrong way along on-ramps. The Automatic Incident Detection (AID) wrong way alerting solution can detect multiple lanes of traffic using a single camera and provides accurate detection and fast notification to help improve the safety performance of roadways. The system uses high-definition video stream from ISS’ patented RTMS Sx-300 HDCAM radar product, providing radar-based data
  • Camera technology a flexible and cost-effective option
    June 7, 2012
    Perceptions of machine vision being an expensive solution are being challenged by developments in both core technologies and ancillaries. Here, Jason Barnes and David Crawford look at the latest developments in the sector. A notable aspect of machine vision is the flexibility it offers in terms of how and how much data is passed around a network. With smart cameras, processing capabilities at the front end mean that only that which is valid need be communicated back to a central processor of any descripti