POSCO ICT will develop a collision prevention solution that applies a Lidar sensor for safety management at industrial sites.

POSCO ICT signed a memorandum of understanding with AIYOUBOT, a company specializing in Lidar, to supply Lidar sensors and commercialize them jointly. The Lidar is a sensor that measures the time difference between shooting a laser around and returning to an object to recognize the shape and space and help the moving body identify the location of the obstacle on its own. Lidar sensor supplied by both companies have the advantage of having quality and price competitiveness compared to global brand products.

POSCO ICT plans to prevent safety accidents by attaching Lidar sensors to mobile facilities that are operating unmanned, including cranes and raw material transport vehicles operated at industrial sites. It is planned to operate to prevent collisions by recognizing a person or obstacle close to the front/rear of a mobile facility through sensors and slowing down and stopping facilities according to the degree of proximity.

To this end, POSCO ICT has been working with POSCO since April to verify its performance by verifying its technology at coke plants and product warehouses. Accordingly, it plans to supply solutions to steel mill coke, raw materials, and electric steel sheet factories first, and to expand the supply of solutions to various industrial sites such as external production sites, construction and plants.

Meanwhile, POSCO ICT has a 'smart safety control platform' that integrates and manages safety at manufacturing and construction sites. POSCO ICT's smart safety control platform collects and analyzes data through various sensors to monitor risk factors, delivers the results to field workers to prevent safety accidents, and efficiently helps them cope with accidents that may occur.

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Posco ICT Co. Ltd. published this content on 10 August 2022 and is solely responsible for the information contained therein. Distributed by Public, unedited and unaltered, on 05 September 2022 04:39:02 UTC.