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The speed and cost are also benefits in that it allows parts to be prototyped at speeds unable to be reached by conventional methods. Changes to the product can also be done without having to change molds (usually a large sunk cost), all this makes 3D manufacturing of this type incredibly powerful and efficient.

Computer Vision Improves the Social Media User Experience

Snapchat users love to overlay rabbit ears and fairy dust, for instance, on the images of friends while the amateur photographers are walking or jostling their mobile phones. What seems like such a simple activity actually relies on computer vision algorithms. The calculations constantly dip into a vast amount of data about the objects and relative positions of the elements in the stream of images.

Pinterest has a mobile phone app called Lens that uses computer vision. The app can tell users where, for example, someone in a photo bought an amazing pair of sneakers she’s wearing. The computer vision application can also display shoes that match the item’s design and styling.

Computer Vision for Consumers

Banks around the world now use computer vision to deposit checks remotely. Banking customers take a photo of a paper check with their mobile device. Computer vision software in the banking app captures the image of the check destined for deposit in the bank, then verifies if the signature on the check is genuine. Funds typically become available for use within a business day of verification.

During the Spring of 2017, Amazon rolled out its Echo Look product. Echo Look enables fashionistas to take full-body selfies. The AI behind the computer vision offering then compares the outfit with options it suggests and delivers the user an overall style rating.

Meanwhile, consumers can feel all their gadgets are secure at home with low-cost security cameras that use computer vision to fortify the homestead. For example, Netatmo’s Presence outdoor surveillance product alerts home owners that a car, person, or animal has come onto the property. Netatmo Welcome cameras, the company’s indoor product, use facial recognition software to distinguish welcome visitors from unwelcome intruders.

Computer vision is not just for home security, though. Law enforcement agencies have seen its benefits in protecting citizens on the road.

There’s no denying that Will Smith has a certain star quality about him, but his charm apparently doesn’t work on everyone. the Fresh Prince can be seen crashing and burning on a date in the Cayman Islands with none other than Sophia the Robot.

After attempting to flirt with Hanson Robotics’ state of the art artificial intelligence creation by cracking a joke about the type of music robots like and not-so-subtly bringing up his ’80s hip-hop career,  Smith readied himself to lean in for a kiss. “Sophia, can I be honest with you?” he asked. “I don’t know if it’s the island air or the humidity, but you’re just so easy to talk you. You got a clear head…literally.”

But as he went for smooch, Sophia was so quick to shut him down. I think we can be friends. She interjected. lets hang out and get to know each other foe a little while.

Watch the full video above.

​The program is meant to be used by a geologist and not a layperson, which is represented by the questions that it asks the end user. It was developed by computer scientists with the aid of experts in the field of geology. But since it is a program and not an expert it can only base its knowledge on statistics and not hard science. It develops much of its statistical knowledge from previously inputted geological surveys as well as new statistical models that are developed to aid in its search. The method of its search is called “the inference network” which connects evidence with and assumptions with the various program paths or nodes.

Sources

https://www.sri.com/sites/default/files/uploads/publications/pdf/739.pdf

The authors believes we should go through following steps if we want to have the smart manufacturing as a strategic asset for growth:

First, one should invest in smart manufacturing innovation centers.

Second, companies should invest equal funding in applied research and basic science.

Third, one should should prepare markets for new products that smart manufacturing will bring about.

The author also mentions the three phases that advanced manufacturing technology will lead to.

The first phase that advanced manufacturing technology will take us through is that of connecting each of the individual stages of manufacturing production. This will be done by sharing all data efficiency between stages. This will create powerful economic performance, higher worker safety and greater environmental sustainability.

Plant-and Enterprise-wide Integration (phase 1) will usher us to the second phase. With the new data coming derived from advanced computer simulation and modeling, businesses will be able to improve current and future operation through the simulation of manufacturing processes. This simulation will revolutionize technology and enable companies to have more flexible manufacturing systems, optimized production rates, and faster product customization.