Abstract:Recently, the continually evolving robot technology has contributed to the development of a variety of robotusing service models. In particular, the robot with the artificial intelligence may be utilized in various fields of the context awareness. Conventional CCTV is installed in a fixed form and it can transfer monitored images to a central server where they are stored in the server system. The monitoring and control processes must be performed at the server side. In this paper, an intelligent surveillance robot for which Internet of Things(IoT) is used to overcome the limitations of these existing CCTV is proposed. The proposed intelligent surveillance robot is called "SMART-I", and it can perform monitoring and control remotely. Also a DVR server is included in the robot design for the transmission and processing of large image data. The prototype of SMART-I has been developed based on IoT, and both the app client and Web client have been implemented to provide the remote monitoring and control of the robot. SMART-I can be used as an active surveillance robot. While it monitors activities, it can detect abnormal contexts that are then notified to a security manager through the sending of alarm messages to a smartphone, allowing for a quick response to the potential risk. The developed IoT-based intelligent surveillance robot can perform monitoring activities in locations such as factories, offices, and industrial sites. SMART-I can be used as a user-friendly mobile robot that provides real-time monitoring and intelligent services according to the context awareness in a variety fields for an active performance of surveillance activities.
These days, the size of the Internet market, the use of parcels increases every year. Currently, in local delivery centers, the sorting of parcels has been processed manually. The manual process requires much time and high cost. Also it causes occupational injury and musculoskeletal diseases. Therefore it is necessary that the current method should be replaced with automatic smart robot manipulators. In this paper, we propose a robot control system with a context aware mechanism for generating information to control the movement of a robot, which automatically sorts parcels. The context aware mechanism generates intelligent information to control a robot using context data such as the parcel shape, weight, location and barcodes. Our robot control system collects context data of the parcel and carries out the reasoning of robot control data to pick up and drop parcels according to contexts. It also generates optimal delivery path using GIS engine. Then a robot manipulator, which receives control data of picking-up and dropping, processes the automated sorting of parcels according to delivery persons and delivery routes. It will be useful to save much time and cost by automating the parcel delivery sorting process, thus reducing frequency of industrial accidents.
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