Multimedia Internet of Things: A Comprehensive Survey <s> 2) SMART MUSEUM <s> In today's world everything is becoming smarter through the development of heterogeneous technologies. To match this smartness, our environment needs to become smarter through a technology that is we called Internet of Things. Nowadays, People are switched to follow our ancient culture. Museum is the one of a place where ancient culture and cultural heritage exist, hence it is considered to make a smart museum. To get the attention of visitor in museum it is being proposed as IoT based Smart Museum Environment which will automatically provide the information about artwork without any user intervention. IoT based smart museum relies on a wearable device(Raspberry PI) that will capture the user's movement, does the background subtraction algorithm to perform Image processing and it gets the localization information from a Bluetooth Low Energy (BLE) which is fixed in the museum. Hence, this wearable device will increase the performance of the whole system by sending only matched frame to cloud processing center. To start with all the artwork and related multimedia contents need to be uploaded to cloud. Finally, everyone can easily access the arts profile and history through smart phone by using the mobile application. <s> BIB001 </s> Multimedia Internet of Things: A Comprehensive Survey <s> 2) SMART MUSEUM <s> Industrial robots and manipulators are widely used as transport-loading devices in automated production. It is possible to combine equipment into coordinated production complexes of various sizes with the help of robots and they will not be bound by rigid planning and the number of installed units. Transport robots have proven themselves as flexible automated means of realizing intra-shop and interoperation material connections. More and more companies are developing technologies for vehicles through which they can communicate with each other and use real-time data from production infrastructure facilities. Electric vehicles and unmanned vehicles have become a new technological trend. In this regard, the paper deals with a prototype of an innovative transport robot, created for automated warehouses. It is proposed to use a computer vision system with image recognition based on the embedded software for the transport robot positioning inside the production facilities. The algorithm of deep machine learning was adapted to solve this problem. Using this algorithm, the prototype tests were performed successfully. <s> BIB002
Preservation of culture is essential for our future generation to establish and strengthen their identity. The Museum industry plays a critical role in preserving cultural heritage and displaying knowledge about it. It is the primary source of promoting tourism and improves economics statistics. Smart Museum is the need for a smart environment to inspire tourists from all over the world. A smart device is proposed in BIB001 to gather localization information of the visitor using BLE. It automatically provides the information related to art in front of it using image processing and stores it to the cloud to be accessible on smart devices. Foreground detection and background subtraction are utilized in the proposed work for extraction and image processing. To manage the huge historical data and enhance the guiding system for tourist in a smart Museum, M-IoT beacon devices based on Raspberry Pi for content delivery operating on BLE is proposed in  . The researcher further takes M-IoT benefits by implementing computer visionbased image recognition transport robots for an automated warehouse in BIB002 . Neural network-based image classification is performed using the Orange Pi hardware platform. CvCanny library is utilized in this work for object edge detection to track the path inside the warehouse facility.