Unlike typical optical cameras, which can be linked by bright light and unable to make out details in the dark, NTU’s novel smart camera can record the smallest movements and objects in real time.
The novel camera records the alterations in light intensity between scenes at nanosecond intervals, much faster than traditional video, and it accumulates the images in a data format that is many times smaller as well. With a unique in-built circuit, the camera can do an instant analysis of the captured scenes, highlighting vital objects and details.
“With its regular tracking feature and instant analysis of a scene, it complements present optical and laser cameras and can aid self-driving automobiles and drones avoid unexpected collisions that usually happen within seconds.”
A simple camera sensor has numerous millions pixels, which are sensor sites that record light information and are employed to form a resulting picture. High-speed video cameras that record up to 120 frames or photos per second generate gigabytes of video data, which are then processed by a computer in order to self-drive automobiles to see and analyse their environment.
The more intricate the environment, the slower the processing of video information, resulting in lag times between seeing the environment and the corresponding actions that the self-driving automobiles has to take.
To allow an instant processing of visual data, NTU’s patient pending camera records the changes between light intensity of individual pixels at its sensor, which reduces the information output. This avoids the needs to capture the entire scene like a photograph, hence increasing the camera’s processing speed.
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