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Robots learn to make car parts

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Nissan has developed a new way to use robots to make car parts out of sheet steel, a breakthrough that could make replacement parts for discontinued models more widely available for customers.

Nissan hopes to commercialize the proprietary technique, known as dual-sided dieless forming. The technique involves two synchronized robots working from opposite sides of a steel sheet, using diamond-coated tools to gradually shape the steel.

Thanks to its flexible production, short lead times and minimal upfront costs, the new technique could make it commercially viable to produce and sell a wide variety of after-service and replacement parts in small volumes for cars that Nissan no longer makes. This was previously not possible due to the high upfront costs and long lead times to develop and make dies for stamped parts.

Until now, dual-sided dieless forming had been considered too difficult to commercialize. This was due to the complexity of programming two robots to operate synchronously while ensuring consistent quality. Existing techniques have primarily relied on single-sided forming, which limits the complexity of shapes that can be created. By placing robots and tools on opposite sides of a steel sheet, they can create more difficult and detailed shapes.

The new technique was made possible thanks to the production engineering expertise at Nissan’s Production Engineering Research and Development Center, along with advancements in materials technology by Nissan’s Research Division. It represents three major breakthroughs:

  • The development of advanced programs capable of controlling both robots with a high degree of dimensional accuracy, enabling the formation of detailed convex and concave shapes.
  • The application of a mirrored diamond coating to tools, reducing friction while eliminating the need for lubrication. This has numerous benefits, including consistency of surface quality and low-cost, environmentally friendly operation.
  • The generation of optimized pathfinding logic for robots, drawing on the ample expertise and press-forming simulation techniques ordinarily used by Nissan’s production engineering teams. This enabled Nissan to achieve high quality results early in the development process.

Nissan plans to continue pursuing advancements in mass production while also dedicating R&D resources to honing its flexible low-volume production techniques.

Cars

LHI is coming to save your car from hazards

Local Hazard Information will give drivers advance warning of potential dangers lurking around the corner

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There are many times when knowing what is around the corner could be useful. But for drivers that knowledge could be critical. Now, thanks to Ford’s new connected car technology, it is also a reality.

Local Hazard Information (LHI) marks a significant step on the journey towards a connected transport infrastructure by helping drivers prepare for and potentially avoid dangers on the road. When drivers ahead encounter sudden tailbacks, accidents or spilled loads, the driver behind – and possibly out of sight – is given advance warning. This could also apply to everything from freak hailstorms, to sudden flooding, or even landslides.

The triggers for the system come from what is happening in the cars ahead. It could be that airbags have been activated, hazard warning lights are flashing, or windscreen wipers are in operation. Previous traffic incident alert systems have relied on drivers to input information in order to generate alerts. LHI works autonomously, without the need for any driver interaction, to generate information and issue warnings.

Hazards are only displayed – via the dashboard display – if the incident is likely to impact on the driver’s journey. LHI is designed to be more beneficial to drivers than hazard information from current radio broadcasting systems, which often deliver notifications not relevant to them.

Already featuring as standard and free of charge for the first year on the new Ford Puma, LHI technology is being rolled out across more than 80 per cent of Ford’s passenger vehicle line-up by the end of this year. Crucially, the benefit will not be limited only to those travelling in Ford vehicles. Information sent can be used to alert drivers of other manufacturers’ vehicles, and vice-versa.

“What makes Local Hazard Information different is that it is the cars that are connected – via the Internet of Things. There is no reliance on third party apps. This is a significant step forward. Warnings are specific, relevant and tailored to try to help improve your specific journey.” Joerg Beyer, executive director, Engineering, Ford of Europe

How it works

Sensors monitor activities including emergency braking, fog lights and traction control to detect adverse weather or road conditions. Data from these activities is then computed to determine the hazard location and whether a traffic incident has occurred.

The vehicle automatically provides updates through a secure connection to “the cloud” using the Ford Pass Connect modem. Ford’s technology partner HERE Technologies operates the central cloud-based platform that collates information from multiple vehicle brands, governed by a business-to-business agreement.

The more cars are connected to the network, the greater the efficiency of the system. When many vehicles generate the same warning, others in the vicinity receive incident information from the cloud via the cellular network, enabling drivers to reduce speed or take appropriate action.

Additional information is sourced from public authority incident databases and traffic reports to provide drivers with further advance warnings including approaching vehicles driving on the wrong side of the carriageway, animals or people in the road ahead, and roadworks.

The on-board modem will be connected at the time of vehicle delivery. Customers may choose to opt in/opt out of certain data sharing.

Local Hazard Information data provided by HERE Technologies.

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Bundesliga plans to “revolutionise football viewing”

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Germany’s Bundesliga football league has selected Amazon Web Services (AWS) as its official technology provider to deliver more in-depth insight into every live broadcast of Bundesliga games and enable personalised fan experiences. 

Bundesliga says it will use AWS artificial intelligence (AI), machine learning (ML), analytics, compute, database, and storage services to deliver real-time statistics to predict future plays and game outcomes. It will also use the technology to recommend personalised match footage across mobile, online, streaming, and television broadcasts.

Using AWS technology, Germany’s premier national football league will build new cloud-based services that automate processes, increase operational efficiency, and enhance the viewing experience for the league’s rapidly growing global fan base. By developing a new, next-generation statistics platform on AWS, using Amazon SageMaker, a fully managed service to build, train, and deploy ML models, Bundesliga will offer fans real-time predictions on when a goal is likely to be scored, identify potential goal-scoring opportunities, and highlight how teams are positioning and controlling the field, based on live data streams and historical data from over 10,000 Bundesliga games. Bundesliga also plans to leverage AWS ML services, such as Amazon Personalize, an ML service to create real-time and individualized recommendations, to offer fans personalized game footage, marketing promotions, and search results based on their favourite teams, players, or matches.

Using other AWS ML services, including Amazon Rekognition, an intelligent image and video analysis service, Bundesliga will build a cloud-based media archive that will automatically tag specific frames, from its more than 150,000 hours of video, with metadata such as game, jersey, player, team, and venue, so that the league can easily search historical footage and surface pivotal plays for in-game broadcasts, in more than 200 countries. This archive will enable Bundesliga to search across its entire history of football footage to provide a more enhanced viewing experience for fans and automate the current manual process of searching and tagging match highlights.

“We are extremely excited to be working alongside AWS to develop the next generation of football viewing experience,” said Christian Seifert, CEO of Bundesliga. “Innovation means challenging the status quo. Working closely with AWS, as one of the most innovative technology companies in the world, significantly enhances the investment we’ve made in innovation over the past two decades, all of which contributes to us being able to deliver a world-class football experience for our fans.”

“As the league with the highest average number of goals per game, and the highest stadium attendance globally, the Bundesliga is one of the most entertaining sports leagues in the world,” says Andy Isherwood, Vice President and Managing Director EMEA, Amazon Web Services, Inc. “We are thrilled to work with the Bundesliga and help them use cloud technology to give football fans around the world a more engaging match day experience and look forward to helping them leverage our deep portfolio of ML and AI services so they can deliver even greater insight into the world’s favourite game.”

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