The Internet of Things is still too hard. Even some of its biggest backers say so.
For all the long-term optimism at the M2M Evolution conference this week
in Las Vegas, many vendors and analysts are starkly realistic about how
far the vaunted set of technologies for connected objects still has to
go. IoT is already saving money for some enterprises and boosting
revenue for others, but it hasn’t hit the mainstream yet. That’s partly
because it’s too complicated to deploy, some say.
For now, implementations, market growth and standards are mostly
concentrated in specific sectors, according to several participants at
the conference who would love to see IoT span the world.
Cisco Systems has estimated
IoT will generate $14.4 trillion in economic value between last year
and 2022. But Kevin Shatzkamer, a distinguished systems architect at
Cisco, called IoT a misnomer, for now.
“I think we’re pretty far from envisioning this as an Internet,”
Shatzkamer said. “Today, what we have is lots of sets of intranets.”
Within enterprises, it’s mostly individual business units deploying IoT,
in a pattern that echoes the adoption of cloud computing, he said.
In the past, most of the networked machines in factories, energy grids
and other settings have been linked using custom-built, often local
networks based on proprietary technologies. IoT links those connected
machines to the Internet and lets organizations combine those data
streams with others. It’s also expected to foster an industry that’s
more like the Internet, with horizontal layers of technology and
multivendor ecosystems of products.
What’s holding back the Internet of Things
The good news is that cities, utilities, and companies are getting more
familiar with IoT and looking to use it. The less good news is that
they’re talking about limited IoT rollouts for specific purposes.
“You can’t sell a platform, because a platform doesn’t solve a problem. A
vertical solution solves a problem,” Shatzkamer said. “We’re stuck at
this impasse of working toward the horizontal while building the
vertical.”
“We’re no longer able to just go in and sort of bluff our way through a
technology discussion of what’s possible,” said Rick Lisa, Intel’s group
sales director for Global M2M. “They want to know what you can do for
me today that solves a problem.”
One of the most cited examples of IoT’s potential is the so-called
connected city, where myriad sensors and cameras will track the movement
of people and resources and generate data to make everything run more
efficiently and openly. But now, the key is to get one municipal project
up and running to prove it can be done, Lisa said.
The conference drew stories of many successful projects: A system for
tracking construction gear has caught numerous workers on camera walking
off with equipment and led to prosecutions. Sensors in taxis detect
unsafe driving maneuvers and alert the driver with a tone and a seat
vibration, then report it to the taxi company. Major League Baseball is
collecting gigabytes of data about every moment in a game, providing
more information for fans and teams.
But for the mass market of small and medium-size enterprises that don’t
have the resources to do a lot of custom development, even targeted IoT
rollouts are too daunting, said analyst James Brehm, founder of James
Brehm & Associates.
There are software platforms that pave over some of the complexity of
making various devices and applications talk to each other, such as the Omega DevCloud,
which RacoWireless introduced on Tuesday. The DevCloud lets developers
write applications in the language they know and make those apps work on
almost any type of device in the field, RacoWireless said. Thingworx,
Xively and Gemalto also offer software platforms that do some of the
work for users. But the various platforms on offer from IoT specialist
companies are still too fragmented for most customers, Brehm said. There
are too many types of platforms—for device activation, device
management, application development, and more. “The solutions are too
complex.”
He thinks that’s holding back the industry’s growth. Though the past few
years have seen rapid adoption in certain industries in certain
countries, sometimes promoted by governments—energy in the U.K.,
transportation in Brazil, security cameras in China—the IoT industry as a
whole is only growing by about 35 percent per year, Brehm estimates.
That’s a healthy pace, but not the steep “hockey stick” growth that has
made other Internet-driven technologies ubiquitous, he said.
What lies ahead
Brehm thinks IoT is in a period where customers are waiting for more
complete toolkits to implement it—essentially off-the-shelf products—and
the industry hasn’t consolidated enough to deliver them. More companies
have to merge, and it’s not clear when that will happen, he said.
“I thought we’d be out of it by now,” Brehm said. What’s hard about
consolidation is partly what’s hard about adoption, in that IoT is a
complex set of technologies, he said.
And don’t count on industry standards to simplify everything. IoT’s
scope is so broad that there’s no way one standard could define any part
of it, analysts said. The industry is evolving too quickly for
traditional standards processes, which are often mired in industry
politics, to keep up, according to Andy Castonguay, an analyst at IoT
research firm Machina.
Instead, individual industries will set their own standards while
software platforms such as Omega DevCloud help to solve the broader
fragmentation, Castonguay believes. Even the Industrial Internet
Consortium, formed earlier this year
to bring some coherence to IoT for conservative industries such as
energy and aviation, plans to work with existing standards from specific
industries rather than write its own.
Ryan Martin, an analyst at 451 Research, compared IoT standards to human languages.
“I’d be hard pressed to say we are going to have one universal language
that everyone in the world can speak,” and even if there were one, most
people would also speak a more local language, Martin said.
Researchers at the MIT Media Lab and the Max Planck Institutes
have created a foldable, cuttable multi-touch sensor that works no
matter how you cut it, allowing multi-touch input on nearly any surface.
In traditional sensors the connectors are laid out in a grid and when
one part of the grid is damaged you lose sensitivity in a wide swathe
of other sensors. This system lays the sensors out like a star which
means that cut parts of the sensor only effect other parts down the
line. For example, you cut the corners off of a square and still get the
sensor to work or even cut all the way down to the main, central
connector array and, as long as there are still sensors on the surface,
it will pick up input.
The team that created it, Simon Olberding, Nan-Wei Gong, John Tiab, Joseph A. Paradiso, and Jürgen Steimle, write:
This very direct manipulation allows the end-user to easily make real-world objects and surfaces touch interactive,
to augment physical prototypes and to enhance paper craft. We contribute
a set of technical principles for the design of printable circuitry
that makes the sensor more robust against cuts, damages and removed
areas. This includes
novel physical topologies and printed forward error correction.
You can read the research paper here
but this looks to be very useful in the DIY hacker space as well as for
flexible, wearable projects that require some sort of multi-touch
input. While I can’t imagine we need shirts made of this stuff, I could
see a sleeve with lots of inputs or, say, a watch with a multi-touch
band.
Don’t expect this to hit the next iWatch any time soon – it’s still
very much in prototype stages but definitely looks quite cool.
We’ve been hearing a lot about Google‘s
self-driving car lately, and we’re all probably wanting to know how
exactly the search giant is able to construct such a thing and drive
itself without hitting anything or anyone. A new photo has surfaced that
demonstrates what Google’s self-driving vehicles see while they’re out
on the town, and it looks rather frightening.
The image was tweeted
by Idealab founder Bill Gross, along with a claim that the self-driving
car collects almost 1GB of data every second (yes, every second). This
data includes imagery of the cars surroundings in order to effectively
and safely navigate roads. The image shows that the car sees its
surroundings through an infrared-like camera sensor, and it even can
pick out people walking on the sidewalk.
Of course, 1GB of data every second isn’t too surprising when you
consider that the car has to get a 360-degree image of its surroundings
at all times. The image we see above even distinguishes different
objects by color and shape. For instance, pedestrians are in bright
green, cars are shaped like boxes, and the road is in dark blue.
However, we’re not sure where this photo came from, so it could
simply be a rendering of someone’s idea of what Google’s self-driving
car sees. Either way, Google says that we could see self-driving cars
make their way to public roads in the next five years or so, which actually isn’t that far off, and Tesla Motors CEO Elon Musk is even interested in developing self-driving cars as well. However, they certainly don’t come without their problems, and we’re guessing that the first batch of self-driving cars probably won’t be in 100% tip-top shape.
Wearable computing is all the rage this year as Google pulls back the
curtain on their Glass technology, but some scientists want to take the
idea a stage further. The emerging field of stretchable electronics is
taking advantage of new polymers that allow you to not just wear your
computer but actually become a part of the circuitry. By embedding the
wiring into a stretchable polymer, these cutting edge devices resemble
human skin more than they do circuit boards. And with a whole host of
possible medical uses, that’s kind of the point.
A Cambridge, Massachusetts startup called MC10 is leading the way
in stretchable electronics. So far, their products are fairly simple.
There’s a patch that’s meant to be installed right on the skin like a
temporary tattoo that can sense whether or not the user is hydrated as
well as an inflatable balloon catheter that can measure the electronic
signals of the user’s heartbeat to search for irregularities like
arrythmias. Later this year, they’re launching a mysterious product with
Reebok that’s expected to take advantage of the technology’s ability to
detect not only heartbeat but also respiration, body temperature, blood
oxygenation and so forth.
The joy of stretchable electronics is that the manufacturing process
is not unlike that of regular electronics. Just like with a normal
microchip, gold electrodes and wires are deposited on to thin silicone wafers,
but they’re also embedded in the stretchable polymer substrate. When
everything’s in place, the polymer substrate with embedded circuitry can
be peeled off and later installed on a new surface. The components that
can be added to stretchable surface include sensors, LEDs, transistors,
wireless antennas and solar cells for power.
For now, the technology is still the nascent stages, but scientists
have high hopes. In the future, you could wear a temporary tattoo that
would monitor your vital signs, or doctors might install stretchable
electronics on your organs to keep track of their behavior. Stretchable
electronics could also be integrated into clothing or paired with a
smartphone. Of course, if all else fails, it’ll probably make for some
great children’s toys.
If you’ve ever been inside a dormitory full of
computer science undergraduates, you know what horrors come of young men
free of responsibility. To help combat the lack of homemaking skills in
nerds everywhere, a group of them banded together to create MOTHER,
a combination of home automation, basic artificial intelligence and
gentle nagging designed to keep a domicile running at peak efficiency.
And also possibly kill an entire crew of space truckers if they should
come in contact with a xenomorphic alien – but that code module hasn’t
been installed yet.
The project comes from the LVL1 Hackerspace, a group of like-minded
programmers and engineers. The aim is to create an AI suited for a home
environment that detect issues and gets its users (i.e. the people living in
the home) to fix it. Through an array of digital sensors, MOTHER knows
when the trash needs to be taken out, when the door is left unlocked, et
cetera. If something isn’t done soon enough, she it can even
disable the Internet connection for individual computers. MOTHER can
notify users of tasks that need to be completed through a standard
computer, phones or email, or stock ticker-like displays. In addition,
MOTHER can use video and audio tools to recognize individual users,
adjust the lighting, video or audio to their tastes, and generally keep
users informed and creeped out at the same time.
MOTHER’s abilities are technically limitless – since it’s all based
on open source software, those with the skill, inclination and hardware
components can add functions at any time. Some of the more humorous
additions already in the project include an instant dubstep command. You
can build your own MOTHER (boy, there’s a sentence I never thought I’d
be writing) by reading through the official Wiki
and assembling the right software, sensors, servers and the like. Or
you could just invite your mom over and take your lumps. Your choice.