Ipsotek, an Atos company specialising in artificial intelligence powered video analytics, has announced its collaboration with Sydney Trains, operator of rail services across the metropolitan Sydney area, to increase security capabilities at 13 stations.
Following a selection process, Ipsotek was selected by Sydney Trains to deliver an AI-based video analytics solution. This has seen the train operator integrate a range of Ipsotek’s AI-powered video analytics solutions with its security cameras to identify incidents of tunnel and track intrusions at 13 stations across the metropolitan Sydney area.
Mark Edmonds, Manager of Security Capability for Transport at Sydney Trains, commented: “Sydney Trains chose Ipsotek after an extensive comparison of a number of products. Ipsotek’s proven track record in the AI Video Analytics space, its partnership with Genetec and its work with Innovate UK’s Small Business Research Initiative (SBRI) for railway focused AI applications, made it a well-deserved choice.”
Chris Bishop, Sales Director APAC & Marketing Director at Ipsotek, said: “As a British SME competing against some of the industry’s big-named companies, we are delighted to have been chosen by Sydney Trains to deliver this project. It represents a welcome validation of our expertise within transportation, and more specifically the rail sector, and we are proud to have supported Sydney Trains with its commitment to delivering enhanced security practices across its network.”
Ipsotek’s project with Sydney Trains follows the company’s delivery of an initial programme of work via the Innovate UK SBRI initiative for the development of Artificial Intelligence Video Analytics to enhance the rail experience for passengers and staff in the UK. The Station ADVISOR (Advanced Visual Detection of Risks) project aims to provide a scalable and cost-efficient, live station risk monitoring solution for use across the National Rail network.
According to the vendor, ADVISOR will enable station owners and operators to respond more proactively to risks and incidents in real time through visual analytics, integrated with station surveillance systems.
