Ipsotek wins station security contract in Sydney

Safety and security Sydney Trains and Ipsotek signed a contract to design and supply an AI-based video analytics solution to increase the safety and security capabilities at 13 stations.

The smart and digital solution will integrate a range of Ipsotek’s AI-powered video analytics solutions with its security cameras to identify incidences of tunnel and track intrusion at 13 stations across the metropolitan Sydney area.

Currently, the AI solutions provided by Ipsotek are at the core of Atos Computer Vision Platform, a unique end-to-end computer vision platform providing pre-trained and customizable AI models powered by the BullSequana server range enabled by NVIDIA GPUs and enriched by worldwide expert labs.

“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,” Mark Edmonds, Manager of Security Capability for Transport at Sydney Trains, said.

The safety and security project to be implemented for Sydney Trains is Ipsotek’s second transport contract in the region, which is working with accelerated computing leader NVIDIA on implementation. Ipsotek is a member of the NVIDIA Metropolis partner programme, which brings together a computing platform and extensive ecosystem of specialists to help create smarter spaces and solve some of the world’s most pressing problems involving operational efficiency and public safety.

Ipsotek’s project with Sydney Trains follows the company’s previous success in delivering 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 core Video Analytics element of VISuite AI is Ipsotek’s patented Scenario-Based Rule Engine (SBRE), a tool to precisely define behaviours of interest as they would unfold in the real-world dynamic and complex environment. The SBRE takes decisions and executes actions based on fusing video analytics, AI and other multimodal information to automate and enhance surveillance.

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