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Nonlinear sensors and microcontrollers are used in many embedded system designs.
Efficient and reliable interaction with the environment (reactivity) is a key feature for many embedded system applications.
On the other hand, commercial microcontrollers run at relatively slower speed, and many embedded system applications need random access of pixel values.
On the other hand, commercial microcontrollers run at slower speed compared to the high data-rate of the image sensors and many embedded system applications need random access of pixel values.
Today, many embedded system families and application domains such as ecosystems, service-based applications, and self-adaptive systems demand runtime capabilities for flexible adaptation, reconfiguration, and post-deployment activities.
It is an important software component in many embedded system applications since it drives the exploitation of the hardware platform by offering a wide variety of services: task management, scheduling, inter-process communication (IPC), timer services, I/O operations and memory management.
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In many embedded systems, vision-based methods are used interestingly.
Digital signal processing algorithms are of big importance in many embedded systems.
The AES is used in many embedded systems to provide security.
An essential dimension is time, since many embedded systems have real-time requirements.
In many embedded systems there are more external sources for interrupts than interrupt pins on the processor.
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