Tag Archives: uav

The complete electronic sensor, which weighs only 1.8 grams, is imbedded in the cube, and a 3D antenna is positioned around it. Photo credit:  Muhammad Fahad Faroouqi

KAUST research pioneers smart sensors for better and safer living

Atif Shamim and Christian Claudel, KAUST Assistant Professors of Electrical Engineering, work together on creating wireless sensor networks for “smart cities.” It is technology Prof. Shamim describes as “game changing…It will change the way we do many things in our lives, moving us towards smarter living,” he said.

In the “smart cities” of the future, electronic devices and objects will be “smart,” with objects containing sensors that communicate with each other, fixed network nodes and central servers. These sensors are connected through the Internet of things (IOT), which enables them to share information. Intelligent systems at the central servers are then used to analyze and process the data from the sensors.

The complete electronic sensor, which weighs only 1.8 grams, is imbedded in the cube, and a 3D antenna is positioned around it. Photo credit:  Muhammad Fahad Faroouqi
The complete electronic sensor, which weighs only 1.8 grams, is imbedded in the cube, and a 3D antenna is positioned around it. Photo credit: Muhammad Fahad Faroouqi

“The critical component for these processes is low-cost wireless sensing modules,” explained Prof. Shamim. “Fixed sensor nodes are useful, but for these you need a lot of infrastructure, such as towers and assemblies. Our idea is that you would have some fixed sensors, but you would disperse many small, mobile sensors that communicate wirelessly to the fixed sensors, which then communicate all the received information to a central station for analysis.”


The use of small, mobile sensors reduces the cost of the infrastructure tremendously, noted Prof. Shamim, and also enables information to be gathered from remote locations where it is difficult or impossible to mount fixed sensors, such as in forests or deserts.

Together, the research groups of Prof. Shamim and Prof. Claudel combined their respective talents and expertise to make progress in using wireless sensors for flood monitoring. This issue is of high importance to Saudi Arabia and cities such as Jeddah, which saw a 2009 catastrophic flood claim the lives of hundreds and cause considerable property damage.

“Classical sensing solutions, such as fixed wireless sensor networks or satellite imagery, are too expensive or too inaccurate to detect floods – and in particular flash floods – well,” noted Prof. Claudel. “Instead, we tested the use of Unmanned Aerial Vehicles (UAVs) equipped with mobile, floatable, 3D printed microsensors and sensor delivery systems to sense and monitor flash flooding events.”

This new system of mobile, floatable sensing, called Lagrangian sensing, “is very promising for large scale sensing, or on-demand sensing, as it requires minimal infrastructure,” the researchers stated. Using this method, UAVs drop the small, disposable wireless sensors over an area to be monitored. The sensors float, so they are carried away by the water flow of the flood. As they move along in the water, they send signals to the UAVs. These signals map the extent of the flood, and this information is transmitted to a central, fixed station for processing. It can then be used to warn the public and other authorities about the extent of the flood.

“Prof. Claudel carries out the systems level design and implementation for the research project, and my group develops the actual physical sensors,” said Prof. Shamim. “In that way, I believe we are a very good fit for collaboration.”

Their collaboration produced a paper recently published in IEEE Transactions on Antennas & Propagation, entitled “An Inkjet-Printed Buoyant 3-D Lagrangian Sensor for Real-Time Flood Monitoring” (DOI: 10.1109/TAP.2014.2309957). KAUST has applied for patent protection for this and other related technologies.


One of the challenges Profs. Claudel and Shamim and their teams faced in the research work was designing the sensors. “We wanted to make them low-cost so they are basically disposable,” explained Prof. Shamim. “We use inkjet printers to print electronics on paper and plastics, but in this case we used paper, as it is lightweight, 1/10th the cost of plastic, and is very suitable for inkjet printing. In addition, it is biodegradable and comes from a renewable resource.”

The researchers produced a small paper cube with a size of 13 mm x 13 mm x 13 mm. The complete electronic sensor, which weighs only 1.8 grams, is imbedded in the cube, and a 3D antenna is positioned around it, enabling the cube to give a signal in any direction it is moving (or floating).

“Because we were working on a flood monitoring application, we had to optimize the sensor to work in water as well as in air,” Prof. Shamim noted. “We were skeptical about its performance in water, so we sealed it with a special glue. We then produced a cube that is very small, lightweight, floats in water, and is electrically sealed. It works very well in water and radiates up to 50 meters in all directions. The performance was better than we expected.”

The technology has many other possible applications: “You could integrate sensors for ammonia, sulfur, carbon monoxide, humidity, or temperature into the cube,” said Prof. Shamim. “This would allow for detection of poisonous gases and other environmental conditions, which would be especially helpful in industrial settings and in remote locations, such as during forest fire events.”

Profs. Shamim and Claudel want to integrate their low-cost, printable, and disposable microsensor technology into the day-to-day lives of everyday people. Not only would the technology enable greater safety for individuals during catastrophic events such as floods, but it could also assist in locating cars in busy parking lots, tracking expired foods in supermarkets, and in creating smart houses, where household appliances and electronic lock systems “talk” to each other to make sure they are in proper working order.

“I believe this technology will change the way people live, shop, and monitor things,” said Prof. Shamim. “We will have better living, from our homes to our offices to our industries – and that is a benefit for all.”

Sourse: KAUST

Amazon's delivery drones. Credit: Amaon

Making drones more customizable

Airware’s operating system makes drones simple to build and modify for multiple applications.

By Rob Matheson 

A first-ever standard “operating system” for drones, developed by a startup with MIT roots, could soon help manufacturers easily design and customize unmanned aerial vehicles (UAVs) for multiple applications.

Today, hundreds of companies worldwide are making drones for infrastructure inspection, crop- and livestock-monitoring, and search-and-rescue missions, among other things. But these are built for a single mission, so modifying them for other uses means going back to the drawing board, which can be very expensive.

Now Airware, founded by MIT alumnus Jonathan Downey ’06, has developed a platform — hardware, software, and cloud services — that lets manufacturers pick and choose various components and application-specific software to add to commercial drones for multiple purposes.

The key component is the startup’s Linux-based autopilot device, a small red box that is installed into all of a client’s drones. “This is responsible for flying the vehicle in a safe, reliable manner, and acts as hub for the components, so it can collect all that data and display that info to a user,” says Downey, Airware’s CEO, who researched and built drones throughout his time at MIT.

To customize the drones, customers use software to select third-party drone vehicles and components — such as sensors, cameras, actuators, and communication devices — configure settings, and apply their configuration to a fleet. Other software helps them plan and monitor missions in real time (and make midflight adjustments), and collects and displays data. Airware then pushes all data to the cloud, where it’s aggregated and analyzed, and available to designated users.

If a company decides to use a surveillance drone for crop management, for instance, it can easily add software that stitches together different images to determine which areas of a field are overwatered or underwatered. “They don’t have to know the flight algorithms, or underlying hardware, they just need to connect their software or piece of hardware to the platform,” Downey says. “The entire industry can leverage that.”

Clients have trialed Airware’s platform over the past year — including researchers at MIT, who are demonstrating delivery of vaccines in Africa. Delta Drone in France is using the platform for open-air mining operations, search-and-rescue missions, and agricultural applications. Another UAV maker, Cyber Technology in Australia, is using the platform for drones responding to car crashes and other disasters, and inspecting offshore oilrigs.

Now, with its most recent $25 million funding round, Airware plans to launch the platform for general adoption later this year, viewing companies that monitor crops and infrastructure — with drones that require specific cameras and sensors — as potential early customers.

A company from scratch

Airware’s roots date to 2005, when Downey, who studied electrical engineering and computer science, organized an MIT student team — including Airware’s chief technology officer, Buddy Michini ’07, SM ’09, PhD ’13 — to build drones for an intercollegiate competition.

At the time, drones were primarily used for military surveillance, powered by a “black box” that could essentially fly the drones and control the camera. There were also a handful of open-source projects — made by hobbyists — that let people modify drones, but the code was unreliable when tweaked. “If you wanted to do anything novel, your hands were tied,” Downey says.

The group’s decision: build a drone from scratch. But their advisor, Jonathan How, a professor of aeronautics and astronautics who directs of the Aerospace Controls Laboratory, told them that required too much time, and would cost them the competition.

“We said, ‘You’re right, but we’re MIT students, and we’d feel better getting last place and learning a lot doing it than winning the competition by repackaging a black-box solution,’” Downey says.

Sure enough, the team earned second-to-last place. “But we learned that black-box solution didn’t work if you’re trying to address new applications, and the open-source wasn’t reliable even though you could change the software,” Downey says.

A five-year stretch at Boeing — as an engineer for the U.S. military’s A160 Hummingbird UAV and as a commercial pilot — put Downey in contact with drone manufacturers, who, he found, were still using black boxes or open-source designs.

“They were basically facing the same challenges we faced as undergrads at MIT,” Downey says. Thus Airware was born in 2010 — first run only by Downey, then with Michini and a team of Boeing engineers — to make a military-grade “black box” system, but whose capabilities could be tweaked and extended.

Early prototypes were trialed by How’s group at MIT, before Airware entered two California incubators, Lemnos Labs and Y-Combinator, in 2013. Since then, they’ve raised $40 million from investors and expanded their team from five to more than 50 employees. “The last 18 months has been a rapid rise,” Downey says.

Not much of the early MIT drone designs made it into the final Airware platform. “But building that early drone at MIT, and having the idea to leverage an enterprise-grade platform that you can extend the capabilities of, very directly became what Airware is today,” Downey says.

“The DOS for drones”

Today, Downey says, the development of a standard operating system for drones is analogous to Intel processors and Microsoft’s DOS paving the way for personal computers in the 1980s. Before those components became available, hobbyists built computers using software that didn’t work with different computers. At the same time, powerful mainframes were only available to a select few — and still suffered software-incompatibility issues.

Then came Intel’s processors and DOS. Suddenly, engineers could build computers around the standard processor and create software on the operating system, without needing to know details of the underlying hardware.

“We’re doing the same thing for the drone space,” Downey says. “There are 600 companies building differing versions of drone hardware. We think they need the Intel processor of the drones, if you will, and that operating system-level software component, too — like the DOS for drones.”

The benefits are far-reaching, Downey says: “Drone companies, for instance, want to build drones and tailor them for different applications without having to build everything from scratch,” he says.

But companies developing cameras, sensors, and communication links for drones also stand to benefit, he adds, as their components will only need to be compatible with a single platform.

Additionally, it could help the Federal Aviation Administration (FAA) better assess the reliability of drones; Congress recently tasked the agency with compiling UAV rules and regulations by 2015. This could also help promote commercial drone use in the United States, which lags behind other countries around the world, primarily in Europe, Downey says.

“Rather than see a world where there’s 500 drones flying overhead, and every drone has different software and electronics, it’s good for the FAA if all of them had reliable and common hardware and software,” he says. “We think it’s valuable for everybody.”

Source: MIT News