Skip to main content

Axis acquires Citilog, adds surveillance and traffic analytics to produce range

Swedish network video supplier Axis Communications has acquired intelligent real-time video monitoring company Citilog, adding advanced surveillance technology to Axis’ product offering and expanding its opportunities in the fast-growing traffic analytics market. The two companies have worked together for several years to provide integrated solutions for mutual customers. Based in Paris, Citilog’s advanced video analytics and surveillance products are used to identify traffic incidents and deviations in
February 2, 2016 Read time: 2 mins
Swedish network video supplier 2215 Axis Communications has acquired intelligent real-time video monitoring company 371 Citilog, adding advanced surveillance technology to Axis’ product offering and expanding its opportunities in the fast-growing traffic analytics market. The two companies have worked together for several years to provide integrated solutions for mutual customers.

Based in Paris, Citilog’s advanced video analytics and surveillance products are used to identify traffic incidents and deviations in real time to help traffic management centres improve the traffic flows and shortening response times. The company also offers solutions to analyse advanced traffic statistics and provide solutions for traffic lights and intersection control. Its products are used worldwide to monitor roadways, tunnels, bridges and other infrastructure, as well as city traffic operations. Alarms can be generated for numerous incidents and traffic saturation detection and enables traffic operators to redirect traffic and thereby adjust efficiency on the fly.

“Citilog’s proven products are well known to the traffic sector, and complement our solutions for the most demanding requirements in that market, said Axis CEO Ray Maurittson. “The company offers a suite of video analytics tools and sensors for transportation monitoring, such as automatic incident detection, traffic data collection and intersection control. Its products improve road safety, limit risks and help reduce travel time.”

For more information on companies in this article

Related Content

  • Can AV mapping rely on crowds?
    June 29, 2021
    Mapping tech companies need to expand their data inputs beyond crowdsourcing in order to maintain temporally accurate maps at scale, says Ro Gupta at Carmera
  • Panasonic in Colorado: Rocky mountain way
    December 3, 2018
    Panasonic is at the heart of a C-V2X project which began last year in Colorado. The company’s smart mobility boss Chris Armstrong tells Adam Hill how it is working out Colorado needs traffic and transport solutions – and fast. The US state’s population has grown 50% in the last 20 years and another 50% hike is predicted in the next 20. It also spends more than $13 billion in roadway crash costs each year. In 2015, 546 people died in traffic-related crashes, and more than 3,000 were seriously injured.
  • Iteris enhances travel time system
    August 9, 2013
    Iteris has upgraded its Vantage detection solutions with Vantage Velocity 2.0, which includes several enhancements to its Bluetooth-based travel time system. Vantage Velocity, Iteris’ Bluetooth-based travel time system, employs sensors installed at defined segments along the road to capture the identity of passing Bluetooth-enabled devices. Utilising advanced algorithms, the host software analyses the matches between sensors to create accurate real-time speed and travel time data on freeways and arterial ro
  • EdgeVis removes bandwidth barriers to mobile streamed video
    October 26, 2017
    A new generation of video compression can lower transmission costs of data and make streaming from mobile and body-worn cameras a reality, as Colin Sowman discovers. Bandwidth limitations have long been the bottleneck restricting the expanded use of video streaming for ITS, monitoring and surveillance purposes. Recent years have seen this countered to some degree by the introduction of ‘edge processing’ whereby ANPR, incident detection and other image processing is moved into (or close to) the camera, so