Tag Archive: Smart

March 25th, 2013
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Smart Lights Market place Approximated CAGR of 36.% By 2013 to 2018 in New Research Report at RnRMarketResearch.com

Dallas, Texas (PRWEB) March 14, 2013

Smart lighting is an advance technology in lighting that makes use of intelligent lighting control systems to intelligently control light based on various parameters like occupancy, movement, color temperature, amount of natural/daylight etc. Smart lighting market is growing at a phenomenal way and main drivers for this growth are energy efficiency, development in electronics and sensor technology, eradication of incandescent lamps, favorable government policies and evolution of novel wireless technology. Entry barriers are low for this market and many new players are arriving in this market. For example: the smart lighting market in the U.S. is being dominated by start-ups that are just three years old. In the present scenario, many companies are launching new products in the market. It can be observed that LED-based products which are based on wireless technology are being launched at a large scale at present.

Commercial and industrial buildings are the most prominent application of smart lighting. In commercial buildings, lighting adds up to 40% of total energy cost. Deployment of intelligent lighting control is being supported by building owners, governments, utilities, and many other stakeholders as it helps to drastically reduce energy consumption. Public and government building have the second largest share among all application in the smart lighting market. As smart lighting projects for public and government buildings are government-funded projects, the growth of this application area will be stable as it would be given priority in every economy.

Residential buildings application has largest growth potential and will grow at the highest CAGR of 87.5% from 2013 to 2018 when compared with other application. Initial investment will pose as a restraint initially, however it is predicted that once the customers become aware of the energy savings benefits of intelligent lighting system in the long run, it will grow exponentially. Outdoor lighting application is another promising application. The greatest opportunity area in this market is the prospect of its integration with other important systems in the city like traffic signals, energy meters, pollution sensors, parking-lot lights, and traffic sensors to form a smart city. Smart lighting systems are mainly employed by high end cars. Companies like Mercedes-Benz and Audi have already incorporated the systems in their luxury cars.

Get a copy of this report @ http://www.rnrmarketresearch.com/global-smart-lighting-market-2013-2018-by-component-sensors-controllers-chipsets-others-lighting-type-led-fl-cfl-hid-connectivity-wired-wireless-application-commercial-i-market-report.html

At present, Europe has the largest market for smart lighting especially in commercial industrial buildings, outdoor lighting, and automobiles applications. The presence of lighting giants like Philips (The Netherland), Osram Gmbh (Germany) and Zumtobel AG (Austria) is an important reason behind the implementation of smart lighting system in this region. Smart lighting has the second largest market in North America. Several new players have emerged in this region, especially in the U.S., who has developed breakthrough products related to smart lighting. APAC is the emerging market for smart lighting. It is believed that market will grow at an exponential rate of 37.7% between 2013 and 2018.

The report covers recent developments in the smart lighting industry like Acquity brands (U.S.), Acquiring Adura Technologies (U.S.) in January 2013 and the acquisition of Encelium Technologies (U.S.) by Osram AG (Germany). Several other acquisitions, mergers, new product launch, agreements and so on, have taken place recently and are discussed in the report.

The growth of smart lighting market is expected to be remarkable with the revenue growth from $ 1070 million in 2012 to $ 6,747.9 million by 2018, at an estimated CAGR of 36.0% from 2013 to 2018. The major players in the smart lighting industry are Philips (The Netherlands), Osram Gmbh (Germany), Acquity brands (U.S.), Zumtobel AG (Austria), Legrand S.A. (France), Lutron electronics company (U.S.) and so on. However, new entrants like NXP semiconductors (U.S.), Redwood systems (U.S.), Digital lumens (U.S.) have launched some ground breaking smart lighting products. For example: NXP has developed a range of Internet-enabled light-bulb controller chips known as GreenChip iCFL for compact fluorescents lamps (CFL) and GreenChip iSSL for LED lighting that can be linked to any device with a web connection. Redwood system (U.S.) has developed networked LED lighting architecture in which light is controlled over an Ethernet cable.

This report deals with all the driving factors, restraints, and opportunities with respect to the smart lighting market, which are helpful in identifying trends and key success factors for the industry. It also profiles companies which are active in the field of smart lighting technology.

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May 24th, 2012
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Smart Software package Gives Surveillance Eyes a ‘Brain’

(PRWEB) March 18, 2004

“Compared to paying a human, computer time is cheap and getting cheaper,” says Randal Nelson, associate professor of computer science and creator of the software “brain”. “If we can get intelligent machines to stand in for people in observation tasks, we can achieve knowledge about our environment that would otherwise be unaffordable.”

Far from being an electronic “Big Brother,” the software would only focus on things for which it was trained to look—like a gun in an airport, or the absence of a piece of equipment in a lab. Nelson has even created a prototype system that helps a person find things around the house, such as where reading glasses were left.

Nelson set about experimenting with how to differentiate various objects in a simple black-and-white video image like that used in a typical surveillance camera. The software initially looks for changes that happen within the image, such as someone placing a cola can on a desk. The change in the image is immediately highlighted as the software begins trying to figure out if the change in the image is a new object in the scene, or the absence of an object that was there before. Using numerous methods, such as matching up background lines that were broken when the new object was set in front of them, the prototype system is accurate most of the time. It then takes an inventory of all the colors of the object so that an operator can ask the software to “zoom in on that red thing” and the software will comply, even though the soda can in question may be red and silver and overlaid with shadows.

The next step, however, is where Nelson’s software really shines. Nelson has been working for years on ways to get a computer to recognize an object on sight. He began this line of research over a decade ago as he wrote software to help a robot “shop”—picking out a single item, like a box of cereal, from several similar items. One of the tasks he recently gave his students was to set up a game where teams tried to “steal” objects from one another’s table while the tables were monitored by smart cameras. The students would find new ways to defeat the software, and consequently develop new upgrades to the system so it couldn’t be fooled again.

Though a six-month-old baby can distinguish different objects from different angles, getting a computer to do it is a Herculean task of processing, and more complicated still is identifying a simple object in a complicated natural setting like a room bustling with activity.

Unlike the baby, the software needs to be told a lot about an object before it’s able to discern it. Depending on how complex an object is, the software may need anywhere from one to 100 photos of the object from different angles. Something very simple, like a piece of paper, can be “grasped” by the program with a single picture; a soda can may take half a dozen, while a complex object like an ornate lamp may need many photographs taken from different angles to capture all its facets. With those images in mind, the software matches the new object it sees with its database of object to determine what the new object is.

The technology for this ‘smart camera’ has already been licensed to the local company PL E-Communications, LLC., which has plans to develop the technology to control video cameras for security applications. For instance, CEO Paul Simpson is looking into using linked cameras covering a wide area to exchange information about certain objects, be they suspicious packages in an airport or a suspicious truck driving through a city under military control. Even unmanned aerial reconnaissance drones like the Predator that made headlines during the current Iraqi war can use the technology to keep an eye on an area for days at a time, noting when and where objects move.

“We’re hoping to make this technology do things that were long thought impossible—making things more secure without the need to have a human operator on hand every second.” says Simpson.

Nelson and PL E-Communications were connected through the Center for Electronic Imaging Systems (CEIS), a NYSTAR-sponsored Center for Advanced Technology (CATs) devoted to promoting economic development in the greater Rochester region and New York State. CEIS develops and transfers technology from local universities to industry for commercialization, and by educating the next generation of leaders in the fields of electronic imaging and microelectronics design.



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