Skip to main content

SPONSORED WEBINAR: Automating transportation applications on the edge

Join Axis Communications to learn how the market is moving when it comes to AI/deep learning and edge computing for various transportation situations. 
May 11, 2020 Read time: 1 min
The webinar will delve into AI/deep learning in transportation markets

Artificial intelligence (AI) is helping build smart machines capable of performing tasks that typically require human intelligence.  

Advancements in machine learning and deep learning are creating a paradigm shift in virtually every sector of the tech industry….including computer vision through network video. 
 
The network camera is a computer with a lens and deep learning/AI is now giving this computer the ability to understand what it sees. 

This shift is among the biggest in the world of camera devices and will be almost as impactful as the onset of smartphones. 

On 27 May, Axis Communications will look at the IP camera evolution and discuss advancements in AI/deep learning in transportation markets.  

The webinar will feature Zensors, a fast-moving AI start-up born out of Carnegie Mellon University.  

Zensors will discuss how their platform applies to various environments including ITS/traffic, airports, sea ports and other transportation segments.  

Use cases include monitoring real-time traffic, parking, wait times/queue management, space utilisation and kerbside management. 
 
Learn more and register here
 

For more information on companies in this article

Related Content

  • Axis takes SoC to the edge
    December 9, 2021
    Axis is announcing the 8th generation of its custom-designed system-on-chip (SoC) made for network video, here at the ITS America Annual Meeting. By taking edge compute to an even higher level, ARTPEC-8 supports powerful analytics applications based on deep learning on the edge, where cameras have the processing power to analyse data within the camera itself.
  • ITS European Congress 2025: join the webinar
    March 21, 2025
    Standout sessions and highlights explained on 24 March at 11:30am CET
  • Companies depend on automation, AI and machine learning for cyber security
    February 23, 2018
    To defend against cyber attacks, 39% of organisations are reliant on automation, 34% on machine learning and 32% on artificial intelligence (AI), according to the Cisco 2018 annual report conducted on 3,600 chief information security officers. It found that over half of all attacks resulted in financial damages of more than $500,000 (£697,000), including, but not limited to, lost revenue, clients, opportunities, and out-of-pocket costs. The study revealed that adversaries are using Malware sophistication
  • Fetch.ai launches blockchain AI parking
    November 20, 2020
    Scheme with Datarella will reward Munich's drivers for parking in less popular destinations