From Ubiquitous Computing to the Internet of Things

The Internet that most of us knows as the World Wide Web is expanding beyond PCs and mobile devices. Called the “Internet of things”, this movement will link consumer devices, enterprise assets, media and everyday items, such as packaged goods, to the Internet at an increasing rate. Why the push? New business models and new ways of interacting with customers, employees and suppliers are possible when physical items are linked to the Internet. In theory, the Internet of things will make it possible for a connected refrigerator to automatically order milk. However, history has shown that, even though a technology can be transformational, it takes a series of many small evolutions before the consumer and business world are ready for transformational models like this. We believe that, at first, the sweet spot for the Internet of things will be to use it in simple ways that extend or enhance an existing process. For example, a washing machine that has a 2D bar code can enable a smartphone user to view the instruction manual, or a service person to view the service history and parts list. In contrast, using the Internet of things technologies to make a washing machine that can auto-detect clothes by reading the RFID tags on the garments' labels, and consequently run at the right settings, is less likely to gain adoption.

Notice Boards for Concessions and Concessionary Approvals on the Maritime Domain

The adoption of the new Concessions Act in 2017 provoked significant reactions within the Croatian public. Reactions were basically related not to the procedural, but to the sectoral regulation: Maritime Domain and the Seaports Act. Namely, according to the media, practice has shown that concession holders have often violated their powers by restricting the general use of the maritime domain. Since it is difficult for an average and even legally instructed person to determine the scope of rights a concessionaire or a concessionary approval holder is awarded on the maritime domain, we would propose that notice boards be introduced that would provide a 2D-bar code for more detailed information concerning the concessionaire or the concessionary approval holder. With a minimal cost, this would significantly increase the transparency of activities carried out on the maritime domain.

From Ubiquitous Computing to the Internet of Things

The Internet that most of us knows as the World Wide Web is expanding beyond PCs and mobile devices. Called the “Internet of things”, this movement will link consumer devices, enterprise assets, media and everyday items, such as packaged goods, to the Internet at an increasing rate. Why the push? New business models and new ways of interacting with customers, employees and suppliers are possible when physical items are linked to the Internet. In theory, the Internet of things will make it possible for a connected refrigerator to automatically order milk. However, history has shown that, even though a technology can be transformational, it takes a series of many small evolutions before the consumer and business world are ready for transformational models like this. We believe that, at first, the sweet spot for the Internet of things will be to use it in simple ways that extend or enhance an existing process. For example, a washing machine that has a 2D bar code can enable a smartphone user to view the instruction manual, or a service person to view the service history and parts list. In contrast, using the Internet of things technologies to make a washing machine that can auto-detect clothes by reading the RFID tags on the garments' labels, and consequently run at the right settings, is less likely to gain adoption.

DPM 2D Bar Code Locating based on Corner Detection and Clustering Analysis

Industrial DPM bar code is achieved by means of laser etching on metal surface; it uses Data Matrix bar code image as the main carrier, which can ensure the full life cycle tracking ability. But due to the ambient light and metal materials, collected industrial DPM images may exist uneven illumination, low contrast and other issues. How to identify this code type quickly and accurately is a problem, and how to locate the bar code area accurately is even more critical and difficult. In this paper, according to the characteristics of frequently appeared cartesian points in DPM bar code area, an adaptive corner detection method based on curvature scale space is used to detect the corners effectively. Then for the corners gathered by clusters, an improved density-based clustering method is proposed to achieve precise positioning results. Experimental results show that the proposed algorithm has certain suppression ability for low contrast, illumination and blur deformation images and is superior to the traditional algorithms on positioning precision and accuracy.

2D Bar Code Detection, Recognition and Application Research Based on NI VISION

In this paper a method of bar code detection and recognition is introduced, and discussed a combination of machine vision technology and virtual instrument, on this account, USB camera is used to capture images and detection and information extraction of the image of bar code, so user can store the function of product information. This method has very high recognition accuracy, speed and better practicality.

Defective 2D Barcode Image Mosaic Method for Rotary Scanning Serial Image

A mosaic method of based on rotational scan sequence cylindrical barcode which is suitable for metal parts is put forward, which combined the hardware and the software. Firstly, extract the feature points of each serial image based on scale-interaction of Marr wavelets. Then, get the optimal match of feature points with improved image local entropy. Lastly, complete the natural splice of the defect 2D bar code images through the algorithm of three interpolation and multi-resolution spline. The experimental results show that the algorithm could extract the feature points of consistent relative position and quantity after the processes of rotation, brightness, blur and nose, at the same time, assure the splicing efficiency and measurement precision of image mosaic. The method can also better finish the defect bar code recovery caused by curvature deformation.

Image Recognition Method Applying in Formation Control of Mobile Robots

The article develops multi-pattern formation exchange using A* searching algorithm, and programs the shortest motion paths for mobile robots. The system contains an image recognition system, a motion platform, some wireless RF modules and five mobile robots. We use Otsu algorithm to recognize the variety 2D bar code to classify variety pattern, and control five mobile robots to execute formation exchange, and present the movement scenario on the motion platform. We have been developed some pattern formations according to game applications, such as hook pattern formation, T pattern formation, L pattern formation, rectangle pattern formation, sward pattern formation and so on, and develop the user interface of the multi-robot system to program motion paths for variety pattern formation exchange on the supervised computer. The supervised computer programs pattern formation exchange according to the image recognition results, and controls mobile robots moving on the motion platform via wireless RF interface. In the experimental results, mobile robots can receive the pattern formation command from the supervised computer, and change the original pattern formation to the assigned pattern formation on the motion platform, and avoid other mobile robots on real-time.