**Images Processing: A Mobile Augmented Reality for Vehicle Information System** **Abdulrauf Tosho1, Muhammad-Thani sefinat2, Akanni Abdulsabur Oluseye3, Adebayo Aminat Omotayo4** *Department of Computer Science***1,3,4** *Faculty of Natural and Applied Sciences, Al-Hikmah University, Ilorin, Nigeria.* *Kwara State College of Education, Ilorin, nigeria***2** ### *Corresponding author: , *, *yakub@alhikmah.edu.ng, seyeakanni@alhikmah.edu.ng,* Received Date: \*date Accepted Date: \*date Published Date:  \*date **HIGHLIGHTS** - Car parking security issues tends to increase with the growing size of a city especially when the major centers of activity continue to grow in terms of size. - Parking in public areas can be very tasking with little or no form of security because it is fraught with all sorts of hazards created by either drivers or lack of parking structures. - Augmented Reality (AR) can be used to extract information from the textual car plate number enhance the security monitoring. - AR helps the existence of information accessibility to a better position by communicating the history behind the textual document or image to trace the cars’ owner. ***ABSTRACT*** ***The emergence of augmented reality has made unstructured data processing an interesting field of study. Augmented reality enhances the retrieval of vital information from text and images. This research is centered on the development of a prototype using augmented reality to reduce the problem of security issues inherent in the context that bothers on cars parked. The prototype was based on an AR application that runs on a smartphone. It reads through car plate number which immediately matches with the car information on the central database of the Federal Road Safety Corps.** The AR-Information device displays the car owners’ information to the reader mobile screen. The prototype was implemented and interview was carried out among 59 staff of Al-Hikmah University in Nigeria. The respondents were to evaluate the usability of AR-Image Processing prototype. 97.72% from respondents agreed that the proposed AR-Information device has demonstrated a high usability in reducing the problem in security that inherited in the car park and **found it** interested.* ***Keywords:** Augmented reality, Car park, Unstructured data, Direct text, **Car plate number*****.** **INTRODUCTION** With the rapid growth of computer and communication technologies, a demand for discovery finding of relevant information becomes high. Thus, most of the available information is accessed in direct text form. Usually, relevant information is presented in two different approached; the structured and unstructured approaches. Structured information refers to direct information accessibility where data is stored in fixed fields within a record or file. This is in contrast with unstructured information where the data are not resided in fixed fields. There are some nontrivial tasks involving more than the mere matching of words in the text such as classifying text documents, understanding information expressed in natural language, extracting meaning from a message or sign and summarizing the meaning. It is important to manage the unstructured data that contained in textual document. The unstructured information is a free-form text, and it is difficult to managed and arrange effectively. Therefore, there is need for a system that will allow effective extraction of important data. Rajman and Besançon (1998) also claimed that most of information is in textual, meaning that they are in unstructured form. Lehnert *el at.* (1994) mentioned that most of information extraction tasks are managed manually by human analysts. The human analysts are those who are responsible to read the source documents and then create database entries by hand. The study also claimed that reading the source documents and create database entries by hand is time-consuming, tedious, and difficult to monitor for quality control. Rajman and Besançon (1998) support their statement by claiming that manual indexing is a very time-consuming task when they referred to the case of the car pack which has been carried out by (Ede, Adepoju, & Awoyera, 2015). The study stress on the demand car parking issues tends to increase sharply with the growing size of a city especially when the major centers of activity continue to grow in terms of both size and employment (Osuba, 2012). Parking in public areas can be very tasking with little or no form of security because it is fraught with all sorts of hazards created by either humans or lack of parking structures. In order to reduce the stress of parking and any form of danger or insecurity to cars and owners, adequate system for cars’ owner information must be provided to meet up for the danger at parking space. Consequently, special techniques that can operate on textual data are needed in order to extract information from cars plate number. Basically, Augmented Reality (AR) can be used to extract information from the textual car plate number. AR is a new emerging technology where computer-generated digital information is overlaid onto live direct or indirect physical real-world environment, thus enhancing user’s perception of reality (Azuma, 1997; Zaibon, Pendit & AbuBakar, 2015). The history of AR technology dates back to 1968 when Ivan Sutherland at the University of Utah, developed the first Head-Mounted Display System. The system used computer-generated graphics to show users simple wireframe drawings and the first use of AR technologies for information retrieval was in the 1990s when applications were aimed to increase the training results of pilots (Caudell & Mizell, 1992). AR helps the existence of information accessibility to a better position by communicating the history behind the textual document or image. In the case of vehicle, the identification is towards registration and engine number. That is why it needs a technology that helps to march all about the vehicle and owners’ information and share it to the world. This becomes the role of AR to divulge the information about the vehicle owner on the motion or during parking. Since information is the legacy of nation that needs to be conserved as well as the reflection of vehicle’s history that needs to be learnt for the future. Hence, vehicle identification has four ways; category of the vehicle, registration number, the colour, the owner’s information (Ozbay & Ercelebi, 2005). While owner details are important to be preserved for the security purpose. Hence this paper is presenting an ongoing research work that developed a prototype system that can extract important information of vehicles’ owner through registered plate number by using Augmented Reality. **LITERATURE REVIEW** Most of the information are stored and represented in unstructured manner, which is in textual document or images. In order to extract the important information from the textual, an information extraction is required. However, AR techniques are needed to analyse the text or image before any information extraction can be done. The understanding of what and how the information extracted from unstructured data are discussed with some related research works in AR and information processes. **Unstructured Data** According to Ishikawa (2019), unstructured data is data that is presented in free format and usually in a text form. They may be emails, html, images, text, or video. However, it is difficult to manage unstructured data, it consumes time in order to retrieve information due to the data is not well defined. Unstructured data also known as large volume of data compared to structured data. It referred as bulk data or BLOB (Binary Large Objects). On the other hand, structured data is a kind of information that is organized uniformly and consistently in a file. The advantage of structured data is that it can be implemented easily with fewer occurrences of errors. However, the unstructured data is more valuable for the organization compared to structured one. This is because more information can be retrieved from this kind of data. The unstructured data can be managed effectively and efficiently if it can be extracted from the textual documents. The extracted data will be processed so that the information is stored in a structured manner. Rao, (2003) mentioned that the unstructured data has been described as difficulty approach of applying Information Technology to routing and accessing content which is slicing and dicing that in all the ways typical of data stored in rows and columns in relational databases. According to Chaovalit and Zhou (2005), managing the unstructured data such as feedback surveys, email complaints, text documents and others is a challenging issue. As a sequence, few techniques can be used in order to solve this issue. Two well-known techniques that can be used to manage unstructured data into a useful manner are clustering and categorization or classification. In relation to the clustering process, Iwayama and Tokunaga (1995) describes clustering as process of partitioning a set of objects into clusters on the base of suitable similarity measures. **Augmented Reality** Augmented Reality (AR) has been identified as a form of image analyzer that was developed by Sultanum, Brudno, Wigdor and Chevalier (2018) to read unstructured image fields, identify any information that might have underwritten significance, and return a categorization of the information for interpretation and analysis for risk assessment by subsequent domain specific analyzers. In this study the data set of the input text is localized to Federal Vehicle Registration database, while other domain specific analyzers are focused on augmented reality domain knowledge. Augmented reality (AR) is a current emerging technology nowadays. Its breakthrough has made many changes in various fields in terms of technological aspect. AR technology does not replace the whole environment but rather adds certain virtual object into the real world (Azuma, 1997). AR overlays the virtual object in the real time and on the same space with mobile technology. In addition, it enables access to users on mobile phone Chen, Tsai, Vedantham, Grzeszczuk & Girod, 2009; Vlahakis, *el at*., 2001; Choudary, Charvillat, Grigoras & Gudjos, 2009; Qiu, *el at*., 2017). Since 1997, mobile AR has been implemented rapidly in many fields, such as, information accessibility, security, education, entertainment, tourism, architecture, navigation and path finding and geographical field work (Kounavis, Kasimati & Zamani, 2012). Woodcock, (2016) came up with an Augmented Vehicular Reality (AVR) for autonomous vehicles and Advanced Driving Assistance Systems so as to enable the vehicles detect, communicate and share visual information with vehicles around, in order to achieve this, the authors made used of three-dimensional (3-D) views. AR helps the existence of information accessibility to a better position by communicating the history behind the information. In the case of vehicle, the identification is towards registration and engine number. That is why it needs a technology that helps to march all the about the vehicle and owners’ information and share it to the world. This becomes the role of AR to divulge the information about the vehicle owner on the motion or during parking. Since information is the legacy of nation that needs to be conserved as well as the reflection of vehicle’s history that needs to be learnt for the future. Hence, vehicle identification has four ways; category of the vehicle, registration number, the colour, the owner’s information, (Ede, Adepoju & Awoyera, 2015). While owner details are important to be preserved for the security purpose. **Vehicle Identification Number** The use of vehicle as a means of traveling by road is a large growing transportation system in Nigeria and other countries; hence Vehicle Information System deals with maintenance of records of each vehicle owner. It also includes maintenance of information like schedule and details of each vehicle (Feiner, MacIntyre, Höllerer & Webster, 1997). Also, researcher gets to know that there are many operations, which they have to do manually. It takes a lot of time and causes many errors. Due to the challenges faced by people with parking space, a smart vehicle parking system was designed uing genetic algorithm techniques to eleveate the stress and challenges of parking cars at shopping mall (Thomas & Kovoor, 2018). This genetic algorithm approach for the parking space helped to some extent in alleviating the challenges of scarcity in parking space. Vehicle tracking is all about gathering information about vehicle and their activities in relation to a company or owner. Most companies use this to help organize information regarding their customers, which can be provided at the time of request. When this information is organized, customer services can be performed better and errors can be minimized. It takes more than careful accounting to have an effective vehicle tracking system in the car park. Car Park uses have a number of unique features that distinguish them from other structure uses. A lack of understanding and recognition of these distinct characteristics by users and those responsible for maintenance is believed to be the major cause of many of the common problems identified in these parks (Carl and Timothy, 2006). Parking is generally classified as either “static” or “automated.” The automated parking is more common in Europe, while static parking is the most prevalent type of parking in the United States (ike, Jolly, Pundsack, Stewart, & Whapples, 2011). The two types of ramps that can be used are straight ramp and curve ramp (Boggs, Hezaveh & Cherry, 2019). The selection of the line space will be determined by the overall size of the car park, the shape of the site and the use for which the car park is intended. Starting from the planning dimensions, you consider the bay width, aisle width, ramp dimensions, planning grid, alignment paths to exit barriers, means of escape distances from the car to the destination, security, visibility, space allowances, and payment system among other things. However, the following guidelines are not complying by the users. Consequently, security challenges arise (Hart, 2015).  **METHOLOGY** The development of the prototype system in this research was based on development cycle on the information extraction process with the AR techniques. This system has been developed to assist a security or reader of vehicle plate number to get important information of the vehicles’ owner from mobile application without wasting their time using AR techniques. In order to develop a successful prototype system, a development cycle methodology is adopted, which consists of three phases; the problem identification, system design, and system development. Each phase is explained in the next section. **Problem Identification** This phase is important in the development of the system because it will provide opportunity to develop the system with fully functional features and meet user requirement. In this research, the problem that has been identified is about the packing issue and the required security to identify the cars’ owner through extracting information from unstructured data in car plate number which is time consuming. It has been observed that sometime cars are packed to block other cars due to limited space. Also, for security purpose, it has been proved difficult to identify the cars’ owner in case of emergency needs. Thus, manual record might make a mistake by missing the relevant information while recording and this process requires more time. Therefore, it would be useful if a security or reader can use a system to extract important information of the car owner from the vehicle plate number, such as the name of vehicle owner, the owner mobile number, the address, the vehicle model, the manufactured year, and the vehicle colour. Therefore, the most suitable solution to this problem is by developing a system that can extract the owners’ information from the textual document (plate number) automatically, faster and effectively. **System Design** In order to overcome the aforementioned problem in the previous phase, a system that can extract the required information is suggested. The Mobile Augmented Reality (MAR) technique has been selected to be implemented in the system. The focus is on information processing. Following in the system design of the system for information extraction form vehicle plate number. Figure 1 shows the system architecture design for the prototype. From figure 1, there are three basic components in the system architecture design of the prototyping system that need to be developed. They are Input, Augmented Reality (Text Analyzer and Information Process), and System Output. Each of the components is explained as follow: - > Input: this comprises of User, Process, and Textual Document. A user will provide an input to the system and the input must be a textual document of vehicle plate number, which could be numerical, text or images. The input process is snap shot approach; this gives opportunity to capture the unstructured data. - > Augmented Reality: this component is the main section that transforms the unstructured text to information system. It comprises two components; text analyzer and information extractor. Mobile AR usually has the general section that explained in table 1. However, text analyzer contains a syntactic parser and the parser determines the structure of each text or image captured by the camera. Figure 2 shows parts that are needed for text analysis process in AR. ![](6436dd9d887cf_media/media/image1.emf) **Figure1**. System Architecture Design **Table1:** Parts of Mobile AR
Components Description
Tracking Many options. GPS, accelerometer, solid state compasses, wireless sensors, etc. needs to be mechanical, magnetic sensing, GPS, ultrasonic, inertia and optics. Includes: sensor-based tracking, vision-based tracking and hybrid-based tracking
Interaction & User Interfaces Tangible interface, collaborative interface, hybrid interface, emerging multimodal interface
Tracking and Sensing

Important component. Required great input variety

and high bandwidth, higher accuracy and longer range.
Registration Important component. Objects in virtual and real environment need to be aligned to make the illusion of the unity of the two worlds.
*(Source: Zaibon, Pendit & AbuBakar, 2015).* The information extractor is the component that extract vehicles’ owner information by doing matching process with the database provided from Federal Vehicle Registration Services Database (FVRS) through the internet service. In this research, the information extractor extracted the name of vehicle owner, the owner mobile number, the address, vehicle model, manufactured year, and vehicle colour. > ![](6436dd9d887cf_media/media/image2.emf) **Figure 2**. Parts for image analysis process in AR. - > The System Output: The system produces a result that extracted from database which consists of the name of vehicles’ owner, the owner mobile number, the address, vehicle model, manufactured year, and vehicle colour. This result is presented in a tabular form. **System Development** In the development process of the prototype, **IntView** methodology was adopted. This involves two steps, which are pre-production, and production (Haroon & Abdulrauf, 2015). Hence, the development of the prototype is conducted based on the steps: **Step 1: pre-production** In developing prototype, it is important to involve users and experts before the development of prototype begins. The development of prototype takes up the challenge to ensure opportunities of database accessibility to all vehicle registration through Federal Road Services Commission (FRSC). This reflects the users’ centre design approach. **Step 2: production** The major objective in this design is to allow the system to capture data related to vehicle owner profile in order to match identified information, such as cars’ owner information, car color and car model records through unstructured data of the car plate number. Hence, it enhances car monitoring during driving and when packed. This constitutes various modules among which administrator and user’s module are integral. User is granted access only through the username and passwords created from at first visit to AR mobile application or when registering at the web portal, in order to utilize the features available to vehicle information tracker from park terminal. The administrator module is handled by an authorized administrator, in order to review user status. The design is the drawing, planning, sketching, and arrangement of many separate elements in the design of the new system, the input specification, the database design, the processing specification and the output specification as well as other files that are important in the mobile augmented vehicle information tracking system and its application to automated Unified Mobile vehicle information database system for easy usage and download. The input specification involves the entire input requirement used by the application operator for registration. The data that will be entered into the system will be from the updating of vehicle owner profile records online; all from the database of Federal Road Services Commission (FRSC). The output specification involves Mobile Augmented Vehicle Information System that demands efficiency design of the output and uses of the Graphical User Interface (GUI). This design is obtained from the mobile system. Figures 3 and 4 show some interfaces of the **login section that comprises of login form, username and password, and features of the application system.** ![C:\\Users\\HP\\Desktop\\PROJECT ABSTRACTS\\YUSUF Augmented Reality for vehicle tracking info sys\\IMG-20180606-WA0009.jpg](6436dd9d887cf_media/media/image3.jpeg) **Figure 3.** Login page **This figure 4 interface shows the application section that comprises of user records and document.** ![C:\\Users\\HP\\Desktop\\PROJECT ABSTRACTS\\YUSUF Augmented Reality for vehicle tracking info sys\\IMG-20180606-WA0010.jpg](6436dd9d887cf_media/media/image4.jpeg) **Figure 4.** Administration Page **The figures 5 shows the profile of the registered users’ information** ![C:\\Users\\HP\\Desktop\\PROJECT ABSTRACTS\\YUSUF Augmented Reality for vehicle tracking info sys\\IMG-20180606-WA0011.jpg](6436dd9d887cf_media/media/image5.jpeg) Figure 5. Information Profile page **Figure 6 displays the verification interface that match the information on vehicle plate number with aid of Augmented Reality Mobile System with database. It scanned the unstructured data of plate number.** ![C:\\Users\\HP\\Desktop\\PROJECT ABSTRACTS\\YUSUF Augmented Reality for vehicle tracking info sys\\IMG-20180606-WA0007.jpg](6436dd9d887cf_media/media/image6.jpeg) Figure 6. Scan Vehicle Plate Number **EVALUATION** To clarify the effective and efficient of the designed prototype as expected, a series of practical use of AR-Information devices and unstructured interview \[1\] has been carried out to gather data. The purpose of the interview is to determine the optimal effective usage of proposed prototype and factors that are leading to or enhancing it usage, particularly, in relation to seek vehicles’ owner information when it is needed. For that purpose, the interview was done in Al-hikmah University, Nigeria. As to gather the data, fifty-nine (59) academic, non-academic staff and visitors required information were gathered from 24th to 29th January 2021. Ten (10) questions were addressed to seek the perception of respondents in issues such as respondents understanding towards AR usage, factors leading to car park issues, motivating towards the AR-Information prototype usage, the effectiveness of the developed AR-Information prototype for information accessibility. Almost every involved staff was happy and owners of a mobile phone (including visitors) that used for the experiment. “The Car owner's AR-Information Assistant” is a mobile application for the Smartphone. Plate number of the cars is supplemented with an image from the screen of the Smartphone, which enables a lot of remarkable information derived. A radical methodological solution of the parking and security problem is that the staff uses AR- mobile application, acquiring the completely cars’ owner’s information. Directly is display in the reader mobile through the augmented reality (AR) mode, the procedural manager (subtitles, the plate number with car owners’ information through available online database for FRSC). The AR-Information device sends the car owners’ information to the reader or security mobile screen. It is important to note that the research methodology enables to use all traditional security tools. New forms of information accessibility arise from old ones. **Result** ***Response about AR-Information Prototype for Car owners’ Information*** It is interesting to know the staff (respondents) opinions about AR-technologies in the information process. In this version of pilot experiment, the staff (with the AR-Information Cars’ owner Prototype) has access to the cars’ owner information based on their need. Then after the experiment they were interviewed to answer some questions: “What do you feel about AR-Information Prototype used?” The Table 2 illustrates the results of interviewing of staff and visitors. **Table 2**: Results of interviewing of staff and visitors | **Answers of Participants (staff and visitors)** | **Number Participants** | | | | -------------------------------------------------------------------------------- | ------------------------------------------------------ | -------------- | --------- | | | **Agreed** | **Not Agreed** | **Total** | | That was exciting and I will install in my Smartphone, I am interested in it. | 59 (100 %) | 0 | 59 | | It is good for monitoring the security threatening. | 59(100 %) | 0 | 59 | | It enhances the car owners’ information accessibility. | 59(100 %) | 0 | 59 | | It unusual, but I do prefer the text message, I do not own Smartphone. | 17 (10%) | 42 (90 %) | 59 | | I do not care; that does not matter; there is no differences in manual recording | 2 (1.18 %) | 57 (98.82 %) | 59 | Furthermore, Table 2 shows the summary of level of agreement in supporting AR implementing for this study. 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