Frame Error Rate Estimation in Selective Visual Recognition Systems(SVR)

The selective visual recognition systems (SVR) are highly useful when they meet the corresponding feature requirements. Due to their applications in many areas, the requirements also vary while the low level of frame distortion, as well as high-speed frame recognition process, are the initial features in any system. Thereby, this work develops a simulation model that mainly focuses on these two features. For the speed of the frame recognition process, the connectivity type of the network over which the visual recognition outcomes are transmitted is considered while for the frame distortion the frame loss rate is taken into account by the model. The connectivity type is considered to be the currently released 802.11ax standard. The model is implemented to obtain the results in terms of speed and frame error rate to determine the efficiency of SVR systems using 802.11ax networks and thereby to control the frame errors.

کلیدواژه ها:

Frame error rate ، connectivity type ، speed demand ، visual recognition