INTELLIGENT MANUFACTURING -MSE614 - Group 2

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.

Understanding the Dataset:

This dataset was created by the National Institute of Diabetes and Digestive and Kidney Diseases and donated by Vincent Sigillito, Research Center, RMI Group Leader of the Applied Physics Laboratory in The Johns Hopkins University on May 9th, 1990.

It is comprised of data collected from many patients with several constraints on the data in order to predict the early onset of diabetes in this specific group of Pima Indians. The constraints are as follows: All the patients are female, at least 21 years old, and of Pima Indian Heritage.

Attributes:

Number of times pregnant

Plasma glucose concentration a 2 hours in an oral glucose tolerance test

Diastolic blood pressure (mm Hg)

Triceps skin fold thickness (mm)

2-Hour serum insulin (mu U/ml)

Body mass index (weight in kg/(height in m)^2)

Diabetes pedigree function

Age (years)

Classes:

Tested Negative - 0

Additive manufacturing is a multi-billion dollar industry – including both products and services – and whose technology is constantly advancing. The future of 3D printing and additive manufacturing is well on its way from going beyond just prototyping and into final production of parts and products. Additive manufacturing is a fine example of a disruptive technology because it is transforming the businesses can develop products and expand their capabilities. Additive manufacturing gives business a lot more flexibility in how they manufacture products because it can both increase efficiency and reduce the assembly of parts when a part can be printed already fully assembled. It also allows companies to make smaller production runs and have better testing of their products when they don’t have to invest as much in every production run. The advent of 3D printing and scanning is the ability to quickly make parts, accessories, and spare parts for existing manufacturing lines – it is very easy to incorporate these tools into already established companies. Companies can use 3D scanning to reverse engineer existing products to be able to develop them further. “Additive manufacturing is going to be a future core technology of the engineered products industry,” rp+m Chief Technology Officer Anthony Hughes said at the NorTech event. “As we are shifting our focus from purely rapid prototyping into direct digital production, we are opening up new markets and channels really fast.”  We are starting really innovative uses of the technologies available to us with additive manufacturing. For example, rare metal alloys that before were difficult materials to obtain can simply be printed in the product without the need to wait for and place a huge material order. Additive manufacturing is completely transforming the way some industries previously developed products. One example of this disruptive technology is within the aftermarket auto industry.

3D scanning and printing is an immensely beneficial tool to new growing businesses in the aftermarket auto industry. Where before most of this industry would develop parts by hand – building a prototype jig out of wood or ABS and forming it with bondo, etc. – now they have the opportunity to inject smart manufacturing into their product development process. They can take the manually manufactured prototype to a facility like SEMA Garage and have them create a CAD file and use that to either print or manufacture a final version of the part. Another benefit to having access to a 3D scanning and printing resource is the ability to create models of cars that the business works with in order to create parts without the presence of the physical vehicle.

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.

"We have this master computer that is the pilot. And that manages the whole

Each drone carries just a single LED, but there are more than four billion color combinations, according to Cheung.

2. How is a drone light-show performed? (technical aspects of it)

The hardware of a Shooting Star is fairly simple. The drone weighs about as much as a volleyball, is made of foam and plastic, and carries an LED payload that can flash red, green, blue or white. It doesn't have cameras. The Shooting Star, flying outdoors, is guided by GPS, and the Mini drones use a similar tech called the Intel Indoor Location System.

Intel built software to program groups of hundreds of these drones that can be operated by a single drone pilot, helping it create intricate moving shapes and logos for festivals, sporting events and movie premieres all over the world.

3. What is the difference between a “fireworks” show and a “drone light-show”?

The technology behind the show. Fireworks are just blast of different lights whereas the drone show can have choreographed movement.

4. What are the challenging aspects of using drones at events?

Intel Corp. had to ditch plans to deploy 300 small drones during the Winter Olympics Opening Ceremony because of logistical challenges. Instead, pre-recorded footage of 1,218 drone launched during a rehearsal in December in Pyeongchang, South Korea was broadcast to U.S. viewers.

“During the Ceremony, POCOG made the decision to not go ahead with the show because there were too many spectators standing in the area where the live drone show was supposed to take place,” according to a statement from the Olympic organizing committee.

5. Why was the Lady Gaga’s show at the Superbowl in Huston in 2015 pre-recorded rather than run live?

Restriction placed by the Federal Aviation Administration forbid drones from flying within a 34.5-mile radius of the NRG Stadium, in addition to other rules that bar drones from hovering too high, or from doing acrobatic maneuvers directly above hundreds of thousands of people.

6. What were the difficult aspects of making the show for the Olympic Games in Korea?

“The planning was very intense, and we had to send teams on the ground very early,” Evans told USA TODAY.  “We knew we’d need to understand the wind—it’s very windy up here, and we had to understand the impact of the (cold) temperature. So, we practiced.”

In fact, the tech giant launched 1,218 of its drones in December in Pyeongchang and pre-recorded the light show that was to air on NBC’s tape-delayed broadcast in the United States. The pre-recording was shown during the U.S. broadcast of the ceremony Friday evening.

7. How do Intel drones relate to the Intelligent Manufacturing subject matter?

These drones can be used for more than just elaborate light shows. Already Amazon plans to deploy drones to deliver products more instantaneously and manufacturing facilities are using drones to increase efficiency and safety in the manufacturing process.

8. Do you know other applications of drones?

Concerned about declining bee populations, technologists are devising artificial pollination solutions using tiny drones. Intel built a small drone capable of artificially pollinating plants. Equipped with a sticky gel and some horsehair on its belly, the unmanned aerial vehicle (UAV) can catch and release pollen grains as it moves from plant to plant.

9. Any special thoughts that the members of your group have on the “drones” subject?

​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.