Whacking protective helmets until they break might seem like a fun diversion for charged up kids, but it’s serious business at the Snell Memorial Foundation, which certifies the safety of all kinds of helmets. Gathering analog signals is critical for all real-world tests, particularly those that happen quickly. Snell uses National Instruments’ CompactDAQ modules to gather data generated during the 36 times helmets are dropped onto steel anvils. If the system registers more than 300 Gs inside the helmet, it fails the tests. The Snell Foundation was formed in the ‘50s after auto racer Peter Snell died from head injuries in a slow rollover crash.
Snell uses National Instruments’ CompactDAQ modules to gather data generated during the 36 times helmets are dropped onto steel anvils.
Are they robots or androids? We're not exactly sure. Each talking, gesturing Geminoid looks exactly like a real individual, starting with their creator, professor Hiroshi Ishiguro of Osaka University in Japan.
For industrial control applications, or even a simple assembly line, that machine can go almost 24/7 without a break. But what happens when the task is a little more complex? That’s where the “smart” machine would come in. The smart machine is one that has some simple (or complex in some cases) processing capability to be able to adapt to changing conditions. Such machines are suited for a host of applications, including automotive, aerospace, defense, medical, computers and electronics, telecommunications, consumer goods, and so on. This discussion will examine what’s possible with smart machines, and what tradeoffs need to be made to implement such a solution.