[7] WSO2.com,'WSO2 Stream Processor'.[Online]. After presenting you with personalized offers, the next big way airlines are using big data is for improving their marketing efforts. The above mentioned reference architecture can be used in many different use cases, such as traffic monitoring, security, and surveillance. The team proposed to … Identity and access management secures communication throughout the whole process and manages the system’s security and authentication requirements. Level spacing curves are derived for traffic flow of each lane and the high-level modification of the curves indicates the occurrence of an accident [15]. One such method of sourcing data is via video analytics. Data is at the heart of decision making in any organization. Airlines have more or less detailed data of each of their customers. Your email address will not be published. The mobility and device management layer configures all the devices that are involved throughout the process and it can be used to send data and display on mobile devices. Analytics harnesses the power of big data and enables enterprises to make better decisions, create innovative products, understand pain points and optimization, and gain advantages in today’s markets. The challenge lies in translating data into actionable insight. Industry analysts say that the airline industry has always been adept at data collection since the beginning but this data has never been put to good use. For example, the video stream captured from a camera aimed at an infant could be processed using an Eulerian video magnification and an optical flow algorithm to detect the infant’s respiratory rate. If Stream Processor detects a speeding driver it will directly report it to respective person who's monitoring this using dashboard server capabilities of WSO2 Stream Processor which is known as analytics dashboard. Artificial intelligence and its cognitive technologies that make a sense of data can streamline and automate analytics, machinery maintenance, customer service, as well as many other internal processes and tasks. This process can be automated by adding video processing capabilities into the in-built CCTV system. The app simply uses baggage check data which runs in the background and the staff members at Delta keep a track of the bags and send the tracker to the customers. treating video frames as images. Offering the only solution to pair historical airport operational … If you are going for finest contents like I do, just To process the extracted data the size of the detected bounding box, frame ID, and timestamp were sent to WSO2 Stream Processor. traffic monitoring, security, and surveillance, and described multiple ways of how such use cases are implemented. Analytics and text mining techniques help the industry to understand … This white paper will discuss the concept and technology behind video processing, a reference architecture to build a system that can extract high-level information from camera feeds, and some use cases of real-world applications. We’ve provided the installation instructions and the required resources on the same repository. Figure 6: Overview of the Traffic Controlling System. This can be applied to the computer vision as well. The main purpose of surveillance is to monitor the behaviors, activities, and other changing information in order to protect or manage people. In Paris in terminal one a passenger is feeling ill. For data processing we use WSO2 Stream Processor [7] which is a powerful analytics product that can process data streams in real time. Object tracking is a slightly more advanced scenario and can be used to monitor object behavior. The latest PromptCloud news, updates, and resources, sent straight to your inbox every month. The main approach is to consider video frames as images and process those images using image processing techniques where we can see video processing as a collection of image processing tasks. The developed system is deployed as five components, as shown in the deployment diagram in Figure 4. Pedestrians/cyclist monitoring is another example of video-based transport monitoring. Wearable Technology & IoT: Turkish Airlines is also planning to use big data and the Internet of Things (IoT) technologies operating the service at Istanbul’s new airport in 2018. Moreover, the same model can be used to monitor speeding vehicles. Miyuru Dayarathna, Senior Technical Lead, WSO2. While most of them relate to disruption management and delay predictions, some are purely oriented toward UX … IoT Analytics’ recently published the Industrial AI Market Report 2020-2025.As part of the research, the analyst team identified a total of 33 different use cases that employ Artificial Intelligence tools and … There’s a variety of marketing use cases that can be applied in the airline industry. In this Use Case case study, I am going to present a case study of airport check-in system. The application detects the status of a plane that has landed at an airport by analyzing CCTV video streams. Prev - Tips on properly extracting web data from even the most challenging sites by using best practices of web scraping, Next - Interesting Ways in Which Marriott Leverages Social Data – PromptCloud, Why Web Scraping should be at The Core of Your Business Strategy, Web Scraping IMDB for The Best Movies and Shows, Global Data: Key to Access COVID-19 Impact. This case … [13] Chris Harris and Mike Stephens (1988), A combined corner and edge detector, In Proc. The representatives at Southwest Airlines can analyze social media data to get to know their customers even better. For more details about our solutions or to discuss a specific requirement contact us. Improved marketing efforts: After presenting you with personalized offers, the next … The number of vehicles detected from each frame is communicated externally as the output. Dubai Airport’s applications signal future use cases of Big Data and analytics in airport operations. Marketing attribution is a strong contender for being the most important one. It uses neural network-based approaches to do the learning parts and has the ability to retrain on top of pre-trained models obtained from image databases like ImageNet [4] and AlexNet [5]. Figure 3: Detection of the arriving plane. In those scenarios, the implementation shown in Figure 6 can be used with the relevant model to detect objects. In this paper, we describe a novel analytics system that enables query processing and predictive analytics over streams of big aviation data. For example, the video stream captured from a CCTV camera can be used to track the centroid of the intended object. Health status monitoring of patients in hospitals is another application of surveillance [18]. Training a cascade classifier (which is required to detect objects) was one of the main tasks of this video processing solution because the total accuracy of the system is directly dependent on the plane detection accuracy. Access control is one of the primary use cases of video processing-based surveillance. Such scenarios can be broken down into three categories; object detection, object recognition, and object tracking. Today’s flyers are happy with the fact that their airlines know where they are, who their co-passengers are, and what climatic conditions will they be met with on arrival at their destination. monitoring-of-pedestrian-movements-at-signalized-inte. Unauthorized access and abnormal behaviors can also be monitored using such a system. 164-169. Seems astonishing, right? According to Airport Council International (ACI) records most airports have around 20 aircraft movements per hour. At each entry point of the areas within the premise, the access to him/her can be granted based on the authorization level. Figure 2: Mapped Reference Architecture to WSO2 Products. Information, such as direction of motion, pedestrian/cyclist density, average speed, etc. 23-29. ... hours for capital resources. In peak hours, the rate spikes to one movement per minute. Overall progress also gets reported to the end user and will be logged in a separate database. An example to cite here is from a marketing platform – Boxever – in the travel industry. Implementation is available on our git repository as open source software [11]. Figure 6 elaborates how video processing can be deployed in a traffic control system. The airline industry has been keeping a tab on this information for long but it needs big data to help them analyze it and make it useful for the customer. Airport Analytics (AA+) Modules. Object recognition is widely used for face recognition, number plate recognition, and handwriting recognition. and also discussed how these can be applied in real-world use cases. If you implement the above reference architecture with WSO2’s technology capabilities it can be mapped as follows (Figure 2). Big Data case study: 5 relevant examples from the airline industry. 2016 9th International Congress on Image and Signal Processing, BioMedical User movement and behaviors are logged into the log database and real-time analysis results are forwarded to the user via analytics dashboard. Back in 2016, Edinburgh Airport, the busiest airport in Scotland, partnered with BlipTrack to use sensors and give its travellers visibility of … A video processing system that has the capability of surveillance can be easily implemented using the above reference architecture. Vladimir Matic, Bart Vanrumste, Gunnar Naulaers, Sabine Van Huffel, and Maarten De The video processing engine processes the video frames, detects the available faces, and cross checks the features with the available user database. In tracking, object detection is used to construct an initial input and the detected object will be tracked throughout the video. The video image sequence captured from CCTV cameras are analyzed using a point detection and tracking methodology, such as Harris-Stephen Corner interest point detector [13], SIFT detector [14], etc. Object recognition is an extended version of object detection that uses object detection in the initial stage, then maps the detected image into a known related sample dataset to match the features and try to recognize a unique object. Every person traveling on a flight has a nightmare of losing his/her baggage. There are many approaches for video processing. The introduction of analytics into the aviation industry will result in cost reductions in case of baggage loss. A simple booking of one airline ticket gives enough information about you that can be used in ways that are useful. Tensorflow, on the other hand, is an open source machine learning library developed by Google that’s capable of doing object detection with a high accuracy [3]. The airport also shares these insights with the police and security teams to help them improve the service and security in the long term. Object tracking can be considered as a complex process due to several reasons. Video feeds from traffic cameras can be used as inputs to the system. So, AI technologies are useful for various aspects of airline operation management. Cameras are relatively inexpensive and widely deployed. The approach used in this case study is generic and can be used in any software project. Save my name, email, and website in this browser for the next time I comment. Government Administration. [6] Henning Schulzrinne, RTSP:Real-Time Streaming Protocol (RTSP). Available. Then the extracted data is sent to WSO2 Stream Processor to be processed. [15] Jeong Lee (2014), CCTV-Aided Accident Detection System on Four Lane Highway with Learn more about how IT operational analytics works by reading some case studies below: Case … Vehicle Traffic Detection is one of the key example use cases of video-based transport monitoring. He has a condition called COPD which is a progressive disease. Big Data Analytics in Airline Industry strengthen customer value. Videos obtained from CCTV cameras can be used to detect road accidents, vehicle breakdowns, bad road conditions, etc. One model has the ability to detect the objects from multiple classes and multiple objects in the frame. Back Office ( Finance, Human Resources, Procurement) Data analytics helps agencies identify: least cost vendor with highest … There are several image processing libraries and here we'll consider two of them: OpenCV is an open source computer vision and machine learning library that was specially developed for this kind of image processing and video processing tasks [2]. monitoring system," 2010 7th International Symposium on Communication Systems, Video processing can be recognized as a combination of three main tasks: The human eye can differentiate a bird and a plane at a glance; likewise, machines can be trained to do that using object detection models, such as Tensorflow models and OpenCV cascades. Then the finalized data gets stored in a database for future needs and the real-time data are presented through the Plane Detection Dashboard. During an aerial journey, tons of data are generated every hour. Engineering and Informatics (CISP-BMEI), Datong, 2016, pp. As discussed in the above case study, this can be used to monitor public transport services like bus services, train services, and cab services as well. We list down three concrete use cases of transport monitoring conducted via video processing below. A client of theirs chalked out a marketing plan around some abandoned carts and personalized emails were sent to the customers. [1] developed an airline’s integrated recovery approach by … The first component is the Video Feed Output from a CCTV Server. In the real world, most of the scenarios can be understood by determining a particular object’s identity and by monitoring the movements of that object. NASA along with machine learning algorithms has an automated system that analyses huge volumes of data and finds out inconsistencies leading to any accidents. According to ACI, the world's busiest airports have around 5 movements per minute during peak hours. of Fourth Alvey Vision Conference, pp.147-151. In this paper, we will focus only on the main approach, i.e. A plane detection scenario was implemented as a sample solution for video processing. As humans can see the world, computers also do so through cameras. The user interface and dashboard layer outputs the final results in a readable and understandable manner. In video processing, a video will be read frame by frame, and for each frame, image processing will be applied to extract the features from that frame. Figure 4: Deployment diagram of the plane detection application, Figure 5: State of the plane with respect to the frame ID. quality contents, thanks, Your email address will not be published. For example, recently United Airlines made a switch from the age-old ‘collect and analyze’ method to a smarter ‘collect, detect act’ approach. In fact, it has embraced big data in more ways than one. [19] H. Chen, D. Chen and X. Wang, "Intrusion detection of specific area based on video," The status of the plane is identified by tracking the movement and size of the detected plane. Furthermore, we presented a real-world application of plane detection that we developed as a proof of concept of the methodologies discussed in this paper. And even though the Internet of Things (IoT) boasts a promising future, it is at best five years away. On FlightAware you can search by flight or airport … After a plane lands, the location of the plane should be monitored in order to control ground traffic in the airport. The second step of the process initializes the cascade and then processes the video feed to detect the planes. Started as a hobby, the site now has become so important in tracking thousands of flights around the world many airports and airlines use FlightAware to help process and analyze their own data they are providing to the FAA. No doubt, people are in awe of Southwest Airlines for its impeccable customer service. The grabbed data are forwarded to the video processing layer to conduct the processing. 2015. Yet, the world is sparingly instrumented. With limited resources, … This application was developed to detect the status of a plane that lands at an airport. Nowadays, since the cost of data storage and processing has come down, in spite of tons of data being collected, it is getting easier to process and channelize it properly. This topic is currently very popular in the research community. While many forces are at work, a major reason for the business analytics By using the trained cascade, an application was developed with the ability to detect planes and point out the exact location of the plane in the frame by drawing a box around the plane. We generalized the these categories and developed a reference architecture to manipulate the generalized case. The marketing department uses historical weather information, and begin a plan to target stranded airport passengers. A real-life system that employs image processing, such as a surveillance system, will need to do much more than image processing. Thanks to big data, of late, airlines are able to utilize big data techniques in order to strengthen the customer value and relationship and thus increase customer loyalty. The Asian airport addressed the problem by employing cognitive analytics -- part of OpenText's Magellan platform -- to analyze data captured from around the facility and make real-time … If you are looking for such datasets for analysis to provide better customer service, you can contact the team at PromptCloud. If this data is inspected and analyzed, it goes a long way in improving the safety of the flight. Area then that particular object is identified as an initiative for solving this problem by bridging gaps! Architecture, we may also consider audio data associated with each and video!, tons of data are forwarded to the computer vision field object recognition is widely for. Sent straight to your purchases and priorities on this data and come with! Needs and the extracted data is sent to the customers of it in. News, updates, and handwriting recognition engine processes the data and determines the plane dashboard! 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