A team of researchers at Stanford have designed a 4D camera which could improve vision for applications in robotics and virtual and augmented reality technologies.
The new vision technique could also be used in autonomous vehicles, add the researchers – Donald Dansereau, a postdoctoral fellow in electrical engineering, and Gordon Wetzstein, assistant professor of electrical engineering, and others.
A human eye transmits data to the brain at a rate of approximately 10 million bits a second, which is about the equivalent of the capacity of some Ethernet connections.
This was the finding of a study by researchers at the University of Pennsylvania School of Medicine, and while that may be debatable, and perhaps doesn’t tell the whole story of the complexity of the human eye, it’s probably a widely accepted idea that our eyes collect and transmit more data than do our other “sensors”, if they can be called that – the ones for sound, touch, smell and taste – which, with sight, make up our five human senses.
lockA while ago, Robotics and Automation News interviewed Alex Boch about 360 cameras, and he said he would be developing a new product soon which would incorporate virtual reality.
Now, having helped build the ALLie Camera, Boch – who is VP of operations there – is back in touch to talk about the device which he says gives users a better view of events than if they were actually there.
InVisage says its Spark4K near-infrared sensor brings cinematic resolution, high dynamic range, and low power Consumption to cameras and other devices
InVisage claims its Spark4K is the world’s highest resolution IR sensor with 35 per cent quantum efficiency at 940 nm, dynamic pixel sizing, global shutter, and up to “50 times less system power consumption” – less than what the company left us in the dark about.
InVisage Technologies, the pioneering developer of QuantumFilm camera sensors, launched the Spark4K near-infrared (NIR) camera sensor.
Doing so with imprecise cameras and wobbly arms in real-time is tough, but the CMU team found they could improve the accuracy of the map by incorporating the arm itself as a sensor, using the angle of its joints to better determine the pose of the camera.
DJI has launched the Phantom 4, which it says is the first consumer quadcopter camera – or drone – to use “highly advanced” computer vision and sensing technology.
The Phantom 4 expands on previous generations of DJI’s iconic Phantom line by adding new on-board intelligence that makes piloting and shooting great shots simple through features like its Obstacle Sensing System, ActiveTrack and TapFly functionality.
A company called InVisage is claiming it has launched the world’s first high-definition Internet of Things camera sensor which can detect near infra-red (NIR) light which is invisible to the human eye.
The innovation could have implications for autonomous vehicles being developed now, as well as a range of other technologies.
InVisage calls its new sensor Spark2, and says it is based on its previous range of camera sensors, which were given the name QuantumFilm.