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Towards Self-Powered Cameras

机译:走向自供电相机

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摘要

We propose a simple pixel design, where the pixel's photodiode can be used to not only measure the incident light level, but also to convert the incident light into electrical energy. A sensor architecture is proposed where, during each image capture cycle, the pixels are used first to record and read out the image and then used to harvest energy and charge the sensors' power supply. We have conducted several experiments using off-the-shelf discrete components to validate the practical feasibility of our approach. We first developed a single pixel based on our design and used it to physically scan images of scenes. Next, we developed a fully self-powered camera that produces 30x40 images. The camera uses a supercap rather than an external source as its power supply. For a scene that is around 300 lux in brightness, the voltage across the supercap remains well above the minimum needed for the camera to indefinitely produce an image per second. For scenarios where scene brightness may vary dramatically, we present an adaptive algorithm that adjusts the framerate of the camera based on the voltage of the supercap and the brightness of the scene. Finally, we analyze the light gathering and harvesting properties of our design and explain why we believe it could lead to a fully self-powered solid-state image sensor that produces a useful resolution and framerate.
机译:我们提出了一种简单的像素设计,其中像素的光电二极管不仅可以用于测量入射光水平,而且可以将入射光转换为电能。提出了一种传感器架构,其中在每个图像捕获周期中,首先使用像素记录和读取图像,然后再使用它们来收集能量并为传感器的电源充电。我们已经使用现成的分立组件进行了几次实验,以验证我们方法的实际可行性。我们首先根据我们的设计开发了一个像素,并将其用于物理扫描场景图像。接下来,我们开发了一种完全自供电的相机,可以产生30x40的图像。摄像机使用超级电容而不是外部电源作为电源。对于亮度约为300 lux的场景,超级电容两端的电压仍远高于相机无限次每秒产生图像所需的最小值。对于场景亮度可能会发生巨大变化的场景,我们提出了一种自适应算法,该算法会根据超级电容的电压和场景的亮度来调整摄像机的帧频。最后,我们分析了设计的光收集和收集特性,并解释了为什么我们认为它可以导致能够产生有用分辨率和帧率的全自供电固态图像传感器。

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