Computer vision systems can be classified into three main levels [5]. The lower level includes the image capture and simple pixel based functions such as arithmetical operations between images. The intermediate level includes operations such as segmentation, matching, preprocessing, convolution or motion estimation. The upper level typically is applied to recognize, classify or capture scene interpretation. Currently, there are a lot of FPGA-based computer vision systems that mainly employ parallel computing in order to increase the processing speed in these computationally intensive applications [6]. High-resolution images and videos require complex compression and coding algorithms [7]. These applications require substantial processing resources and it is possible to find several works that employs the parallel computing features of FPGAs [8�C10].

The term Wireless Sensor Networks (WSNs) is currently applied to refer to a set of applications that collect and distribute sensorial data around the sensors [11,12]. Although we can find WSNs with several kinds of sensors, the use of camera as sensor nodes allows the definition of visual sensor nodes that are employed in application such as surveillance. In these applications, the use in the nodes of FPGA-based image processing allows one to satisfy requirements such as low power consumption, small circuitry scale, Anacetrapib and reconfigurability of the hardware architecture.In this paper, a review of the different FPGA-based sensor systems in Spain is presented.

Although FPGA research reached
Scenario-supported approaches enable innovation managers to align the development process of new products or services according to new criteria and to predict and test market capability with regard to implementation opportunities. Moreover, this step can reduce the risk of failure due to inappropriateness for the market. The present study cooperated with a manufacturing company (T Company) to survey the business processes of logistics in enterprises. To study the business process of logistics in traditional manufacture enterprises, some sample diagrams were used for analyzing the processes in real logistic environments. The business process was studied to determine the real work flow in a logistic company, which is important for cloud services that need to be developed in the logistic cloud. In this section, some logistic processes (pallet inventory, pallet monitoring, and global logistic tracking) are studied for the purpose of deploying IoT technologies. These technologies are used for developing cloud-based services in the proposed logistic cloud discussed in Section 4.3.1. RFID/Zigbee-Based Pallet InventoryThe pallets in T Company carry cargo that is ready to ship to third parties.