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Manufacturing Machines
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Endurance racing does not only require the best and latest technology. It also involves having the ability to harness it for multiple hours in a row without causing disaster. When you are competing at the highest level and against the best of the best, attention to detail is everything. This means leaving no stone unturned, no issue unresolved. Only then can a racing team truly be at the top of its game.
As IoT evolves, projects are shifting from being experimental and exploratory to business critical. This makes them more complex, ensures they receive more scrutiny and, inevitably, increases the opportunities for things to go wrong. This is even more true when you consider that IoT devices and solutions have a long shelf life, making long-term success only possible if you’re properly planning and building today for the unknown factors in the future.
First article inspection (FAI) is a crucial step in the manufacturing process. The quality control (QC) team needs to optimize this phase of inspection in order to limit the back and forth between conception and fabrication. The QC team must not only correctly identify the defects, but also provide relevant data, measurements, and results for solving the identified problems.
The main—if not the sole—purpose of reverse engineering is to gain knowledge about the design and development steps shrouded in the guise of a finished product. But what is backwards engineering if not a means to address practical issues such as machine downtime, part replacement, and maintenance or repair challenges?
Elythor, an EPFL spin-off, has developed a new drone whose wing shape can adapt to wind conditions and flight position in real time, reducing the drone’s energy consumption. What’s more, the position of the wings can change, allowing the drone to fly vertically or horizontally. These features make it a perfect candidate for inspecting power plants.
In this article, we will dive deep into the world of simultaneous localization and mapping using Lidar technology. Lidar SLAM has been gaining popularity in recent years, thanks to its versatility and applications across various domains, including autonomous vehicles, mobile robotics, and indoor mapping.