This paper aims to propose a novel idea of an embedded intelligent system where low cost embedded vision systems can analyze human behaviors to obtain interactivity and statistical data, mainly devoted to customer behavior analysis. In this project we addressed the need for new services into the shop, involving consumers more directly and instigating them to increase their satisfaction and, as a consequence, their purchases. To do this, technology is very important and allows making interactions between costumers and products and between customers and the environment of the shop a rich source of marketing analysis. We construct a novel system that uses vertical RGBD sensor for people counting and shelf interaction analysis, where the depth information is used to remove the affect of the appearance variation and to evaluate customers' activities inside the store and in front of the shelf, with products. Also group interactions are monitored and analyzed with the main goal of having a better knowledge of the customers' activities, using real data in real time. Even if preliminary, results are convincing and most of all the general architecture is affordable in this specific application, robust, easy to install and maintain and low cost.
This paper presents a discrete-time variablestructure control (DTVSC) for the dynamic positioning system of a marine vessel. The DTVSC guarantees robustness with respect to environmental disturbances. Moreover, the allocation problem, in the case of vessels with azimuth thrusters, represents a challenging problem since a non-convex nonlinear problem must be solved. In this paper, the allocation problem is solved using the Damped Least Squares method. The proposed solution is compared with a PID-based control. Reported simulations show that the proposed solution produces better performance.
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