Amani Darwish

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A novel reading architecture for CMOS image sensor for low data rate has been investigated in this paper. The proposed architecture is designed using asynchronous logic and is intended to control and manage the flow of event-driven pixels. This architecture overcomes the standard difficulties encountered when managing simultaneous pixel requests without(More)
Nowadays, research essentially tends to overcome the power consumption issue in the digital and analog domains. In this paper, we took a closer look on CMOS image sensors. The sensor consumption mainly depends on the image resolution. In other words, the sensor data flow is always constant regardless the activity or the scene in question. This leads to a(More)
In this paper, we explain and validate the architecture of a fully asynchronous reading system dedicated to an event-driven image sensor. The proposed architecture is modelled with a hardware description language. Firstly, the reading method relies on reducing the output data flow of the image sensor. Therefore, the image sensor global activity is limited(More)
We present through this paper an event-driven image sensor with a built-in and native image processing technique. In fact, digital image analysis and processing became one of the most demanding fields due to its wide and various applications. The activity of our event-driven image sensor is limited to the effective and relevant information in the captured(More)
Sampling is becoming one of the most important topics for the Internet of Things (IoT). Indeed, the amount of data daily produced is so huge that the data processing cost will deeply affect the electricity generation in a near future. The big data is already a reality but a good way to mitigate this incredible data flow is to differently sample the(More)
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