We develop an imager architecture that allows pixel-parallel image processing at the focal plane and event-driven readout. Each pixel in our sensor can individually monitor the slope of change in light intensity and report an event if a threshold is reached. Row and column arbitration circuits process the pixel events and make sure only one is granted to access the output port at a time in a fairly ordered manner when they receive multiple requests simultaneously. The response time to the pixel event is at nanosecond scale. As such, the sensor can be tuned to capture motion objects with speed faster than a certain threshold. The speed of the sensor is not limited by any traditional concept such as exposure time, frame rate, etc. It can detect fast motion which is traditionally captured by expensive, high speed cameras running at tens of thousands frames per second and at the same time produces 1000x less of data.
We offer integrated sensory platforms that incorporate various components and technologies, including a processing chipset and an image sensor. CeleX Chipset is a hardware implemented video analytics system, which perceives stream of pixels from the sensor and conveys value-added signal processing. The resulting system will be a software-hardware co-processing platform, enabling high speed implementation of video analytic tasks such as optical flow and convolution. The platform features standard interface to existing vision systems. It overcomes the over demanding computing power requirement of the existing vision based systems which are difficult to be realized in mobile computing platforms.
The sensor is built on an architecture that allows pixel-parallel image processing at the focal plane and straightforward event-driven readout.
Low Data Rate
Only active pixels matter. The sensor can capture ultra-fast motion and reduce the data amount by 1,000 times.
Each and every pixel along the motion's trajectory will be captured, stamped with accurate time information at nanosecond resolution.
The speed of the sensor is not limited by any traditional concept such as exposure time, frame rate, etc. Actually, CeleX has no exposure time.
CeleX has a high dynamic range of >120 dB. It also supports a wide lighting range from moonlight to daylight.
CeleX is compatible to existing image sensors, as it can easily produce full-frame pictures on demand.
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Scientists at the Nanyang Technological University (NTU) have developed an ultra-fast camera which mimics the capability of the human eye, and can track minute changes in the scene being viewed, even in low light..
Source: The Straits Times
Scientists from Nanyang Technological University, Singapore (NTU Singapore) have developed an ultrafast high-contrast camera that could help self-driving cars and drones see better in extreme road conditions and in bad weather..
Source: EurekaAlert!
Le camere in alta risoluzione devono elaborare una enorme quantità di dati per fate in modo che il drone possa rendersi conto dell’ambiente circostante e di quello che succede. Da Singapore arriva un approccio completamente nuovo: una camera ultraveloce che si concentra sulle variazione di luminosità dei pixel per reagire in nanosecondi a quello che accade..
Source: DroneZine
Unlike typical optical cameras, which can be blinded by bright light and unable to make out details in the dark, NTU's new smart camera can record the slightest movements and objects in real time.
The new camera records the changes in light intensity between scenes at nanosecond intervals, much faster than conventional video, and it stores the images in a data format that is many times smaller as well..
Source: phys.org
