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Towards Self-Powered Cameras

机译:朝向自我驱动的相机

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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测量入射光水平,还可以用于将入射光转换成电能。在每个图像捕获周期期间,提出了一种传感器架构,在每个图像捕获周期期间首先使用像素来记录和读出图像,然后用于收获能量并充电电源。我们使用现成的离散组件进行了几个实验,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,并使用它来物理扫描场景的图像。接下来,我们开发了一种完全自动的相机,可产生30x40图像。相机使用SuperCAP而不是外部来源作为其电源。对于亮度约为300勒克斯的场景,整个超级涂覆的电压仍然远高于相机无限期地产生每秒图像所需的最小值。对于场景亮度可能急剧变化的场景,我们提出了一种自适应算法,该自适应算法基于超级图的电压和场景的亮度来调整相机的帧。最后,我们分析了我们设计的光收集和收获性质,并解释了为什么我们认为它可能导致一个完全自动的固态图像传感器,产生有用的分辨率和帧率。

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