Three TSA terminals to install gate automation solution

rail automation systemCamco Technologies was awarded a contract to deliver gate and rail automation system for the Wolfurt, Wels and Vienna-South TSA intermodal terminals. TSA (Terminal Service Austria), a business division of the federal railways ÖBB-Infrastruktur AG, operates five intermodal terminals across Austria offering road and rail connections to the European markets.

“Our focus as ÖBB Infrastruktur is on digitalisation and automation in the intermodal freight terminals in order to further develop success criteria such as efficiency, safety and customer satisfaction as well as to facilitate the access of goods to rail. We are pleased to have Camco Technologies as an experienced partner for the implementation of the video gates. The use of the new technology will further improve the capacity, efficiency and quality of our terminal services in the future,” Johann Pluy, Member of the Board of Directors ÖBB Infrastruktur, said.

The three terminals, operated by TSA, are currently using manual gate systems. Each of the terminals will integrate two truck video gates as well as in and outbound kiosk for automated checks of trucks and cargo. For train wagon and cargo registration, the three transshipment facilities will rely on the Camco Technologies rail camera portal. One rail video gate will be deployed at each end of the terminal. Hardware, GOS and rail portal software will integrate in the KLV 2000 TSA terminal operating system.

“ÖBB-Infrastruktur/TSA has been one of the pioneers in embracing the digital transformation. We are delighted to have been selected as partner for the TSA terminal gate and rail automation. We are convinced this partnership will result in higher efficiency of operations and contribute to the ÖBB-Infrastruktur customer experience,” Jan Bossens, CEO Camco Technologies said.

The rail automation system of Camco Technologies truck and rail portals are equipped with AI embedded cameras, capable of registering container, trailer and rail wagon ID, ISO code, weight info and door direction.

Dedicated engines based on convolutional neural networks and OCR technology immediately start processing after image acquisition. The data is sent to the terminal operating system KLV 2000 allowing instant processing of freight and trains increasing overall terminal efficiency.


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