Wednesday, August 13, 2014

It's Sprouting! Updates on the Sprout development project.

I have been working with Andy on a new planter pot product called Sprout, a flat pack planter which will come in a neat DVD-sized packet with seeds, soil, sowing instructions and a wooden pot that is assembled by the user. Kind of like the IKEA of the planter world. It has been in development for the last couple of months (as a break from the job search...) and is slowly but surely bearing fruit. 

The London Hack Space - my new home?

I used the laser cutter at the London Hack Space, probably the coolest space around with numerous tools, gadgets and stuff, all for £15 per month membership, open 24/7 and a good atmosphere.

Soil comes in a packet
Some changes need to be made to this prototype including changing the sprue arrangements, cutting some more windows in the packaging, adding instructions, removing twine from the soil packet and adding an inlay to prevent the wood from warping. We will print the instructions inside the soil packet to save on paper. I wanted to use a plastic packet for the soil so that it could be seen from the side but as I wanted to avoid using plastic and minimise packaging, I decided to go for a thin card packet.

Working on a Kickstarter too and business plan (Andy's expertise!) and are on track at keeping the sale cost at around £10 each.


Bidoooo - update

In the last post I was chatting about Bidoooo and soon I will be releasing it to the wild in order to check whether it will actually satisfy a need. Oisin sent this great article for inspiration; 'How To Validate Your Business Idea By Testing A Hypothesis!' I thought I would start now with you, so please check out the landing page and let me know what you think: Bidoooo app

Cheers,
Bryan
hello@suiledesign.com
uk.linkedin.com/in/bryanoregan/

P.S. Know of any product development jobs in London for a MSc in engineering design?! Let me know!





Wednesday, July 9, 2014

Some work needing some work


This is the first thing I have written since coming to London. The change of pace from Copenhagen has been difficult to adapt too. Every time I step outside the door, it's some new adventure. As I look for jobs, I have been trying to work on some projects.



Ceramic cutter arm on top

Bottle cutter

There is an abundance of material which is sitting around and could be used to create anything e.g. aluminium cans, newspaper, bottles, fag butts (?)...I thought I would start with wine and beer bottles. With a little help from Instructables, I built version 1.0 of the Bottle Cracker because right now the glass keeps cracking. From Youtube I found that to break the glass, you pour boiling water on the crack, followed by cold water (keep doing it until the crack propagates). So far the results have not been great but I think I need to secure the cutter section more and fix the wheels.


Laser wooden pots

TopPot

Currently working with Andy on a plant pot for kids which comes flat packed with all the 'ingredients' (soil, seeds) and instructions. The idea is to get the kids involved to the point where they connect with the pot (not physically). Hoping to make a prototype soon.



Chair and table/foot rest

Furniture

So I had an interesting experience with a furniture company here in Shoreditch. Sadly, I parted ways as the job description was not what I expected. But I really like furniture and it was a cool company. The idea of modular furniture that packs away neatly (especially when you have a small living space) gives me great pleasure and joy.





This app...OHHHH this app!

Android development

I am no programmer but over the last few weeks I have been dabbling in some code using the online training platform codecademy.com. Tried the Python course and now I am working on HTML/CSS in order to redesign the City Music Tours website. I am very excited about working on apps and as I have a shitty Samsung, I thought I would try Android OS by following the Android Developer training instructions. This has proved to be a headache and at this point I have re-installed the ADT (Android Developer Tools) around 4 times. The funny thing is, the app worked fine the first time round. Hopefully with the help of a very intelligent programmer, I can get this Bidoooo app working.


Tiling
Red lines on white tile

After walking past a gallery in Mayfair and seeing some abstract art, I decided to have a go at it. I found some tiles in the house and did some abstract stuff. As my friend pointed out, most of that abstract stuff seems to sell according to size of the piece. This piece is 7m x 7m...any takers?

Tuesday, March 11, 2014

Solid waste management in humanitarian response

Collection, transport and disposal...
The last couple of weeks have been hectic as I make the transition from Copenhagen to London. I have set up a LinkedIn group for the Open Innovation Collective and so far there are 12 members.

We have started looking at a particular challenge; solid waste management in humanitarian response from the Innocentive website and sponsored by the Humanitarian Innovation Fund. You can find a presentation on the problem below which we have made to summarise the challenge:



We are currently at the brainstorming stage of the solving process. The presentation will be updated as we go along. Join the LinkedIn group and help out because if the idea is good enough, it could get tested in the field. Oh and there is a reward too...

Thursday, February 20, 2014

A puzzling process?

There are many issues to consider when trying to establish a method for solving open source problems. This is a new organisation, so there will be teething problems as we all try to create an effective solving process.   

Different work cultures, time differences, communication tools and member schedules need to be considered and are just as important as finding problems that interest and motivate responses from the group. At the first meeting we discussed what parameters should be considered in the selection of open source problems:
  1. Subject - how should a problem be selected so that it would be interesting and engaging for members of the group with different backgrounds, skills and interests? To begin with, a selection of problems from Innocentive and NineSigma will be made at the discretion of the moderators and presented to the group.
  2. Time - how much time should be dedicated to a problem? Submission deadlines are provided by the open innovation websites and group members will be notified.
  3. Responsibility - who should have what responsibilities?
  4. Communication - how should the solution be processed and presented?

The OIC solving processBETA

OIC solving process
As a starting point we have developed a solving process with the following steps:

  1. Present - a selection of problems is presented to the group
  2. Group vote - users like or dislike the problem on LinkedIn group.
  3. Brainstorm - share ideas, networking suggestions (who do you know who might help?) and ask questions! 
  4. Delegate tasks - who does what and when for the next phase?
  5. Homework - problem investigate and solution space created
  6. Feedback/knowledge share - insights and potential solutions presented to the group
  7. Define solution - Solution defined and tweaked
  8. Submit proposal to website.

Coming up in the next post: a selection of open source problems for us to chew over.

Monday, February 17, 2014

Two hundred heads are better than one!

Introducing the Open Innovation Collective

There are hundreds of problems posted online by companies, governments and institutions which involve engineering, design, IT, chemical and other technical issues. Various websites exist including Nine Sigma and Innocentive which publish problems and seek solvers. By releasing the problem to the wild, the company has a bigger pool of potential solutions to choose from and can protect any IP through signed non-disclosure agreements. This type of open innovation is attractive to recent graduates because it allows us to use our skills, gain experience, potentially win rewards and make ourselves known to engineering companies. The company finds a solution and we have the opportunity to solve real world problems, promote ourselves in a competitive marketplace and attract the attention of potential employers. 

The Open Innovation Collective was founded in late 2013 by three fellow graduates from DTU, Bryan O'Regan, Marianne Skovborg Krog and Troels Theilby. The OIC has the following aims:
  1. Develop an open innovation network of problem solving engineers and designers with members from all over Europe including Ireland, Denmark, Poland and France. Why not join the LinkedIn group and follow our updates? 
  2. Select open source problems, present these to the network, develop solutions and solve challenges. If you are an expert in some area, why not pitch in and help solve a problem?  

Initially, communications will take place on the LinkedIn group page and Google Docs. In the next post, we will go through the problem selection process and hopefully, with some feedback from the group, define an effective solving technique. 

Monday, February 3, 2014

Render me a Wino

In order to communicate ideas more effectively, I wanted to teach myself how to render. I have experience in AutoDesk software but when designing, I normally sketch on paper and move as quickly as possible to Google SketchUp. Rendering involves taking a 3D model and adding textures and effects to create an image which looks close to the real thing.

The Wino 

Wino close up (click to enlarge)
At the moment I am working on a packaging design called Wino. I hope to create a design that can be easily fabricated using injection moulded plastic or ceramic and can present high end beverage products in an attractive and intuitive to assemble container/vessel combo. It could be used for serving alcoholic beverages like wine and champagne or fruit juices on airlines and trains where space is tight. The image on the left shows how Wino could be displayed and converted into a drinking container. Obvious problems include:
  • Packaging material - an attempt was made to create a black matt finish in plastic or ceramic. Plastic is easier to mould but has a cheap look whereas ceramic would look classier but costs more. Both could be recycled but this would depend on the recycling facilities available. Plastic could chip during filling and while in use.
  • Labelling - the orientation of the packaging means that while on display, logos and text (like the MOET logo shown) would be upside down. 
  • Beverage foil cover - to avoid contamination, a cover could be added. If the foil is not present, there could be drips of beverage dropping from the base when it has been put in place. A foil, heat sealed cover would provide another surface for different printed information such as the best before date and content info although it would mean further waste.The cover/base and vessel could be sealed with tape which could eliminate the need for a foil cover.
  • After/during use - unless the container could be sealed after and during use, there is the possibility that the product would leak beverage if taken apart and re-assembled to it's display state (left position in above image) .  

Render test

SketchUp (top) and Indigo render attempt
The aim of this exercise was to render a 3D sketch. I downloaded a trial of Indigo Renderer and installed the Plug-in on Google SketchUp version 8. In SketchUp, it was necessary to select each component (3 in all and an extra liquid meniscus layer component for effect) and edit the material so that they diffuse light in different ways. In the SkIndigo editor tool, it was possible to select different material presets such as glass or ceramic. For a matt black plastic look, I went for 'Leather' as it seemed closest to what I wanted. There were many other options but I decided to fire ahead and see what would come out the other end...   

The image on the right shows a comparison between the SketchUp drawing and rendered image. It can be seen that the shadows have been removed in the Indigo version, the colours have softened and there is an almost blue tint on the image. It has obviously gone wrong somewhere as the plastic has turned blue! Back to the drawing board...

Monday, January 27, 2014

Big data knows best

Electroencephalogram (EEG)
In 2012, as a student, I signed up as a human guinea pig for a neuro feedback experiment at the Danish Technical University, where 'we will study the effect of a neuro feedback by training the power in the upper alpha frequency band'. Over 5 days of one hour training sessions, I sat each morning in a dark, soundproofed room and looked at a bright laptop screen displaying small block patterns. It looked like a slow motion version of Tetris in zero gravity. A wireless apparatus was placed on my head which contained sensors and these were reading levels from the upper alpha frequency band of my brain. The aim, as far as I was concerned, was to focus on the patterns and concentrate on thoughts which affected the blocks and changed their colour from blue to red. I found this very difficult and various thoughts on different topics, including eating food, playing sport, playing music, playing sex etc. resulted in inconsistent developments on the screen. A pre- and post-training comparison involved some visual problem solving and the thesis student I was working for hoped to show that cognitive ability can be improved with 'brain-training'. I, it seemed, had done worse as the week went on...but my low brain activity is not the focus of this article. Here, I will review some evolving technologies relating to big data including biosensors which can use your brain signals to operate electronics, online shopping websites which will deliver goods before you make an order and contact lens that can read your sugar levels.

Neurowear

Neurocam
In November 2013, I attended a lecture at CPH:DOX called 'Emotional Interface: Bridging the Gap between Physical and Digital' given by Tomonori Kagaya, founder of Neurowear at the Danish National Gallery. His group are developing commercialised neuro headsets including the award winning 'Necomimi', 'Neurocam', 'Zen tunes' and other electronic devices which sense changing frequency patterns in the brain to activate different gadgets. An interesting example is the 'Neurocam', which consists of a headset and camera. When we look at different things, our brain reacts; when we look at things we like, our brain will emit signals which are picked up by the sensor. As we walk down the street, the camera is activated when signals are emitted and then at the end of the day, you can look back over the images and be reminded of your exciting day. This gadget is tapping into the signals that we are sub-consciously emitting. If we bring that concept one step further, we could be seeing wireless sensors in the future that can sense changes in the signals emitted by our brains. Just like the evolution in broadband which saw WIFI replace the need for a physical cable connection, these gadgets will evolve to the point where sensors in our smart phones or other devices can read our brain patterns and a new big data source is born.       

Smart bio-sensor contact lenses

Smart contact lens
Recently, Google[x] labs released news about the development of a smart contact lens that can be worn by diabetics and could mean the end of pin-prick glucose level tests. This smart lens contains a micro-chip and glucose sensor which monitors sugar levels by taking readings from tear droplets and transmitting the data wirelessly to a nearby receiver. Another example of a smart contact lens currently in development is one which will allow doctors manage glaucoma, the second major cause of blindness in the world. The sensors in this lens can read the pressure within the eye and if the pressure gets too high (a symptom of glaucoma), doctors can be warned in advance and carry out corrective procedures. As the components in these devices get smaller, cheaper, more flexible and sensitive, they will become more advanced and begin collecting further information about our bodies to add to the big data machine.  

Buy before you try

Amazon have been developing a lean logistics delivery model called 'anticipatory shipping' which will use the consumer data they collect, including past buys, your 'likes' and even where you click your mouse on their website (mouse tracking), to predict future purchases. The patent for this process has been in development since 2012 and the system would work by sending out anticipated orders to unspecified addresses in the hope that purchases of that same product would be made while in transit. Then, in transit, a specific address would be given to the parcel and it would be delivered to the consumer in what would seem to be a very short period of time. If Amazon's algorithms improve further to take into account user trends, demographics, shipping costs and developing sources of big data, we could watch and enjoy a trailer of some newly released DVD, and 30 minutes later, it is in our hands.

Big decisions

Big data knows best?
The above technologies are described very basically to support my previous comments on big data and the future of how we make decisions. As further technologies emerge such as neuro headsets and smart biosensors, and algorithms continue to churn through the data collected by these devices, predictions made about our needs will be closer to the truth. As scientists and engineers continue to unearth more about how and why we make decisions, how could big data be used to satisfy our needs? As the feedback from our bodies and minds supplement any big data decisions made, we could be certain that big data is making the correct decisions for us but might we begin to rely on big data and other supporting technologies to the point that 'Big Data knows best?