Ever wondered what fireworks look like from the air? So did Joe Stinghling, an ameteur drone operator. So last week, he and a few friends launched his DJI Phantom 2 drone with a GoPro Hero 3 camera, and the results are beautiful.
Entries in Cameras (14)
Every year, more than 4,000 people die in motorcycle accidents. But companies like Skully Helmets are leveraging the power of technology to try to change that.
The Skully P1 is an innovative new motorcycle helmet unlike any we’ve seen, with a rear-facing camera and augmented reality to improve the driver’s situational awareness at all times. The rearview camera offers him or her a 180-degree view of what’s out of their field of vision – clearly, a huge advantage for all types of roads and highways.
On top of that, the helmet also features the Skully Synapse, an augmented reality heads-up-display built into the visor. The display appears to float about 20 feet in front of the driver’s vision, continuously providing them with information to keep them safely informed. The display can provide video from the rear-view display or detailed turn-by-turn navigation. It even works on those long road trips; its lithium-ion battery provides power for up to nine hours per charge.
The helmet uses the Android operating system to integrate with a driver’s smartphone to play music, make calls and use the nav system.
Skully is about to start a beta program for the helmet, so click here to find out more. It might be your only chance to try this helmet out, because we’re guessing it will not come cheap.
Prepare to see Niagara Falls like you've never seen them before.
As part of the Phantom Video Contest, YouTube user questpack created this stunning video of the Falls using a GoPro camera and a DJI Innovations Phantom quadcopter. Quadcopters are small, radio-controlled aircraft that have gained popularity recently, partly because they're fairly inexpensive -- and because they can do awesome things like this.
Is this the new trend in photography? We can't wait to see where quadcopters take us next.
The MOnarCH Project, which stands for Multi-Robot Cognitive Systems Operating in Hospitals, is currently in the Portuguese Oncological Institute of Lisbon, studying the interaction between robots and pediatric oncology patients. The goal is determine if these therapeutic robots, which collaborate with medical personnel, can interact naturally and engage in edutainment activities with the pediatric patients.
Leveraging technologies such as a network of fixed cameras, RFID tags, teleoperation devices, voice generation, both isolated and combined as augmented reality interfaces, the robots will apply concepts in social skills, group behaviors, and human-robot interaction, using learning methodologies and decision-theoretic principles to interact with the children.
If this experiement is successful, it can pave the way for robots to assist in kindergarten classes and to serve as personal assistants to the elderly at home.
Other robots, such as Paro and Kasper, have already proved to be successful in interacting with the elderly and autistic children, respectively.
Just when it seems like computer vision technology is everywhere, some engineering student at Stanford takes it even further.
Lee Redden, 26, a Ph.D. student in engineering at Stanford, has combined his knowledge of artificial intelligence, machine learning and computer vision to create an innovative start-up called Blue River Technology. As far as we can tell, Blue River is unique in its mission: to develop a robotic weed killer that could be used by organic farms instead of chemical pesticides and manual labor.
According to Blue River’s website, Redden and his team were inspired to discover a way for farmers to do their job without harming the environment or consumers.
The robotic system uses cameras, computer vision and machine-learning algorithms to distinguish weeds from lettuce plants. In the initial stages of the project, their machine used laser blasts to kill the weeds—but that was too expensive for the long run. The next stage involves using superheated organic oil on the weeds.
Hopefully the device is extremely fine-tuned. Redden told the New York Times that the machine, which is pulled by a tractor, must identify weeds and kill them within 200 milliseconds.