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Presentation on Technology Integration in Tourist Policing in the Era of 4IR By Md Shaifullar Rabbi
The document discusses technology integration in tourist policing amidst the Fourth Industrial Revolution (4IR), emphasizing how modern technologies like AI, big data, and IoT enhance safety and operational efficiency in tourism. It outlines various technological advancements, such as drones and biometric systems, that contribute to improved security measures and the overall tourist experience. Additionally, it highlights global examples of tech-enabled policing, future trends, and the potential benefits and challenges of implementing these technologies in the tourism sector.
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Presentation on Technology Integration in Tourist Policing in the Era of 4IR By Md Shaifullar Rabbi
- 1. Presentation on Technology Integration inTourist Policing in the Era of 4IR
- 2. Md Shaifullar Rabbi AssistantManager Customer Support and Training Department Sabre Travel Network Bangladesh Limited BBA & MBA Major in Tourism and Hospitality Management Faculty of Business Studies University of Dhaka
- 3. Topic 1 Introduction to4IR and its Impact on Tourist Policing
- 4. Fourth Industrial Revolution (4IR) The Fourth IndustrialRevolution (4IR) describes how modern technologies like artificial intelligence, big data, robotics, virtual reality, and 3D printing bridge the gap between the human experience and its digital counterpart. It’s a dramatic leap in manufacturing and productivity, changing the way we work, live, and interact with one another in real time through software, analytics, connectivity, and human-machine interaction. In 2011, 4IR was first introduced by a team of scientists developing advanced technology for the German government. Klaus Schwab, founder of the World Economic Forum, brought the term into wider circulation with his 2015 Foreign Affairs article titled “The Fourth Industrial Revolution” and further the following year after publishing his book of the same title. In the same way the First Industrial Revolution revolutionized production with steam and mechanical power, the Second Industrial Revolution harnessed mass production through electricity, and the Third Industrial Revolution used electronics and information technology to automate production, 4IR is characterized by a fusion of technologies blurring the boundaries between the physical, digital, and biological.
- 5. What Technologies are Driving 4IR? 1. FasterComputer Processing: Modern processors now possess capabilities several orders of magnitude greater than their predecessors, such as machine learning and natural language processing (NLP).This leap in technological innovation has enabled process automation and the development of Everything-as-a-Service (XaaS), whereby customers access highly scalable software, services, and data through subscription-based platforms. 2. Big Data Analytics: The ability to manage, process, and analyze large volumes of data — often in real-time — has allowed businesses to extract valuable insights and make informed decisions. In the financial services industry, for instance, faster processing capabilities have given birth to high- frequency trading, where millisecond differences in processing times can translate to significant competitive advantages. Machine-learning algorithms, driven by advanced processors, now analyze market trends, make predictions, and execute trades at lightning-fast speeds, redefining the landscape of global finance.
- 6. What Technologies are Driving 4IR? 3. ArtificialIntelligence (AI): AI, another offshoot of the processing boom, has disrupted traditional business models across various sectors. Deep learning algorithms, once computationally prohibitive, can now be trained on large datasets in a feasible timeframe, leading to innovations like IBM Watson and Google’s DeepMind, which can exhibit human-like decision-making capabilities. 4. Robotics: Robotics stands as one of the clearest testaments to 4IR — it has gone from machines executing simple production tasks to sophisticated systems performing intricate operations. And now, it is not only revolutionizing industries but also enhancing the quality of human life. Human safety is in the hands of robotics at some of its critical moments, such as in aerospace, mining, and surgical operations. In others, like B2B manufacturing and warehouse automation, robots eliminate certain safety risks altogether. 5. 3D Printing: An industry set to grow 21% each year, 3D printing adds a physical element to computer-aided design (CAD), allowing manufacturers to create prototypes and one-of-a-kind items quickly and cost-effectively.
- 7. What Technologies are Driving 4IR? 6. Blockchain:Blockchain technology is the backbone of cryptocurrencies like Bitcoin. But it has many applications beyond that, including: ▪ Smart contracts — immutable, automated agreements between parties that can execute transactions without human intervention ▪ Decentralized autonomous organizations (DAOs) — a digital representation of a business, community, or microeconomy that can self-execute operations and manage assets without the need for a centralized authority ▪ Tokenization — the process of converting real-world assets into digital tokens that can be bought, sold, or traded using blockchain technology (e.g., NTFs). ▪ Secure data storage and transfer — offering a layer of security against cyberattacks ▪ Distributed ledger technology (DLT) — used for distributed, verifiable, and immutable record-keeping
- 8. What Technologies are Driving 4IR? 6. Connectivity,Internet of Things (IoT), and 5G: The Internet of Things (IoT) describes the increasing communication between objects, facilitated by computing and connectivity technologies. The way computers were first used to connect people, they now help objects “think” and “talk” to one another. 7. Virtual Reality (VR) and Augmented Reality (AR): VR and AR are two related technologies that allow users to interact with digital content in a simulated environment. VR offers an immersive experience, allowing people to explore virtual worlds and interact with objects as if they were real. It’s already been used in various industries, including gaming, entertainment, healthcare, education, manufacturing, and business. 8. Drone: Drones are used for surveillance in many contexts, including military, law enforcement, and security. They can provide real-time data and video footage from areas that are difficult or dangerous to access.
- 9. Understanding theneedfor technology integrationin touristsafety Technology is essentialfor tourist safety because it can help protect travelers and their personal information. It can also streamline travel processes and improve the overall experience. Benefits of technology for tourist safety: • Biometric identification: Facial recognition and fingerprint scanning can speed up airport security and border control. • Smart surveillance: Advanced surveillance systems can help keep travelers safe. • Blockchain: Blockchain technology can increase transparency, security, and efficiency. • Internet of Things (IoT): Smart devices like wearable devices, smart suitcases, and connected hotel rooms can improve convenience and personalization. • Big data analytics: Travel companies can use data from social media, booking platforms, and customer feedback to better understand their customers.
- 10. keybenefitsof integrating technologyinto touristSafety services? ▪ enhances touristexperience ▪ increases operational efficiency ▪ provides personalized services ▪ It enables real-time data access for informed decision-making and improves communication and connectivity ▪ Technology also supports marketing efforts and helps meet sustainability goals through digital processes and resource optimization.
- 11. Global examplesof tech-enabled tourist policing Technology is transformingpolice work in the 21st century — introducing new tools to fight crime and new categories of crime to fight. For example, while more and more police departments across the country are deploying drones as eyes in the sky, the FBI reports they are also being used for criminal activities. When this post was first written in 2016, these technologies were just rolling out across agencies. Now, with the rapid pace of technological developments, agencies are finding new and innovative ways to leverage these tools to enhance public safety, catch criminals and save lives.
- 12. Innovative Police Technology ▪ Digital ForensicSoftware: This type of software is used to find, recover and preserve digital evidence that’s often associated with electronic crimes, such as credit card fraud or child pornography. But many non-electronic crimes also include digital evidence, such as bank account information, phone numbers, emails, text messages and social media posts. ▪ Information Sharing Technology : Communication among law enforcement agencies has always been a challenge, but certain types of technology are helping to bridge the gap so that everyone is on the same page. ▪ Virtual Reality Training: Virtual reality (VR) training for law enforcement provides a safe, immersive experience that simulates real-life behavior and scenarios as much as possible. It also demonstrates to potential officers that a department or agency is serious about the latest innovations and educational tools, which can help with recruiting. ▪ E-Citations and Mobile Printers: Advances in technology now make it possible for law enforcement officers to issue citations without spending precious minutes filling out paperwork by hand. Here’s how the process works: The officer uses a device to scan the barcode on the driver’s license. The information populates a citation, which the officer prints using a mobile printer. The officer can also send the citation to the courthouse digitally, all of which saves time, increases efficiency and reduces errors.
- 13. Innovative Police Technology ▪ Biometrics: Policehave been using fingerprints to identify people for more than a century. Now, in addition to facial recognition and DNA, there is an ever-expanding array of biometric (and behavioral) characteristics being utilized by law enforcement and the intelligence community. These include voice recognition, palmprints, wrist veins, iris recognition, gait analysis and even heartbeats. ▪ Voice Technology: An officer’s patrol car is like a mobile command center, meaning there are numerous computers and tools that an officer can use while on the road. But because there are so many different features, safely multitasking can be difficult. One of the latest innovations being incorporated into police cars is a new voice command technology that empowers officers to control many functions in their vehicle while driving and performing other patrol duties. ▪ Robots: Many law enforcement agencies are now using next- generation robotic cameras to deliver visual and audio surveillance of potential crime scenes that may be too dangerous or too hard for officers to reach. Some of these devices are even “throwable” (up to 120 feet and capable of withstanding repeated 30-foot drops) — powered by an electric motor and equipped with high-tech wheels that enable them to move, climb and explore even the most challenging spaces while being operated wirelessly by a trained officer.
- 14. Innovative Police Technology ▪ Video Doorbells:Video doorbells have been installed by thousands of homeowners as a way to enhance home security and give them peace of mind. It turns out, though, that these surveillance systems are also helping law enforcement when it comes to criminal investigations. ▪ ShotSpotter: “Shots fired!” is not an uncommon dispatch from witnesses or officers on patrol, but pinpointing the exact location of the gunfire takes up precious time when every moment counts. Today, more and more cities are implementing ShotSpotter technology that uses sensors to detect gunfire and analysts to track the data and instantly relay it to police, enabling them to arrive on the scene more quickly than ever before. ▪ Thermal Imaging: Thermal imaging has become an important police technology tool that is especially helpful in dark conditions. Thermal image cameras, some available as small hand-held units, utilize infrared imaging to detect heat emitted by such objects as humans and animals, and to deliver a “heat picture” or “heat map” of the environment in question.
- 15. Innovative Police Technology ▪ Artificial Intelligence:The ongoing expansion of the Internet of Things (IoT) means more data is being generated, collected and analyzed than ever before — much of which can be incredibly valuable in a law enforcement context. But the process of deriving actionable insights from immense amounts of data is so incredibly time-consuming that it is not remotely cost- effective when performed by humans. ▪ Smarter Cruisers: Innovation in modern police cruisers (and those of the future) has brought about such upgrades as fingertip access to Wi-Fi connected laptops, tablets, and in-dash computers, giving officers the benefit of instant access to vital information, communication systems, and more. ▪ Automatic License Plate Recognition (ALPR): The same technology that enables toll collectors to automatically scan and collect the registration numbers and letters on your license plate to charge you a fee is now being used by police for a variety of law enforcement purposes, from identifying stolen cars to catching up with people who have active warrants or monitoring “Amber Alerts.”
- 16. Innovative Police Technology ▪ Enhanced Body-WornCameras: Video of police officers doing their jobs in challenging situations used to be rare; today it is ubiquitous, as seen in a number of high-profile incidents that have drawn intense public and media scrutiny. As more cities and communities choose to equip police departments with body-worn cameras, the ability of law enforcement supervisors, as well as the public, to gain a street- level view of on-duty police work has expanded dramatically — setting in motion an ongoing debate around the importance and the impact of this technology. ▪ Drones: Also called unmanned aerial vehicles (UAVs), drones are increasingly being used by police to gain aerial vantage points for crime scene work, search and rescue efforts, accident reconstruction, crowd monitoring and more. Some of the more sophisticated models can be equipped with thermal imaging or 3D mapping software to offer GPS-enhanced precision to the areas being surveyed.
- 17. Topic 2 IoT forSmart Policing in Tourist Zones
- 18. The Internet of Things (IoT) ▪The Internet of Things (IoT) offers extensive applications in tourism security by interconnecting devices and systems. IoT sensors collect and share data to ensure seamless communication between security systems, thereby enhancing situational awareness. • Connected Devices: Devices like smart locks and sensors provide real-time data about tourist sites. • Data Collection: IoT enables continuous environmental monitoring and data gathering. • Resource Management: Efficient management of energy and utilities at tourist facilities.
- 19. Applications of IoT devices intourist safety • Surveillance Systems: Use of cameras and monitoring technologies to observe and record activities at tourist sites. • Access Control: Electronic systems that regulate who can enter certain areas, ensuring only authorized access. • Biometric Technologies: Tools that use individual biological data for identity verification, such as fingerprint scanners and facial recognition. • Cybersecurity Solutions: Measures to protect digital information related to travel bookings, personal data, and payment systems. • Emergency Response Systems: Integrated technologies to coordinate fast and effective responses during emergencies.
- 20. Real-timedata collection and response mechanisms 1. Sensor-basedData Collection: One of the most common strategies for capturing real-time data is through the use of sensors. Sensors can be used to capture data on a wide range of variables, such as temperature, humidity, pressure, and more. 2. Web Scraping: Another strategy for capturing real- time data is through web scraping. This involves automatically collecting data from websites and other online sources in real-time. 3. Mobile App Data Collection: With the rise of smartphones, mobile app data collection has become an increasingly popular strategy for capturing real-time data. Mobile apps can be used to collect data on a wide range of variables, from location data to user behavior. 4. Data Collection from Rapid-API: Rapid API is a platform that allows developers to access hundreds of APIs with a single account. Many of these APIs provide real-time data that can be used for machine learning projects.
- 21. IOT benefits for law enforcement •Improved crime prevention: IoT devices can be used to monitor areas for suspicious activity, which can help to prevent crimes from happening in the first place. • Increased efficiency: IoT devices can help law enforcement agencies be more efficient by automating tasks and providing real-time data. • Enhanced public safety: IoT devices can help improve public safety by providing early warning of potential threats and by helping to coordinate emergency response. • Reduced costs: IoT devices can help to reduce costs by automating tasks and by providing real- time data that can be used to make better decisions.
- 22. Challengesin IoT implementatio n in policing •Data security: IoT devices collect a lot of data, and this data needs to be kept secure. If the data is compromised, it could be used by criminals to commit crimes or to harm law enforcement officers. • Privacy: IoT devices collect data about people’s movements and activities, and this data could be used to violate people’s privacy. It is important to ensure that people’s privacy is protected when using IoT devices for law enforcement. • Cost: IoT devices can be expensive, and it can be difficult to get funding for their purchase and use.
- 23. Topic 3 Future Trendsin Technology Integration for Tourist Policing
- 24. Emerging technologies on thehorizon ▪ Drones:Drones have been a growth area in law enforcement for over a decade. Agencies around the country now recognize drones’ capability as a force multiplier, such as in gathering intel, search and rescue, tactical support, as a first responder, and more. ▪ AI for Officer Development: While AI may seem like it should top this list, concerns about privacy, bias, and the reliability of large language and machine learning models have slowed its adoption in police training technology. However, 2025 could be the year AI matures into a more reliable tool. ▪ Real-Time Analytics: At I/ITSEC 2024, VirTra announced the integration of APEX analytics within its simulators. APEX is a data analytics and training intelligence platform that enables instructors and decision-makers with little or no data analytics experience to quickly and easily gain actionable insights from their training data. ▪ Wearable Devices in Police Training: This new generation of wearables synthesizes data to provide real-time stress and biofeedback monitoring, giving a highly granular snapshot of an officer’s physical and mental state during training. ▪ Effective VR Platforms: For years, VR solutions have always had drawbacks. Early adopters were starved for options. Compact headsets offered convenience but often featured disorienting user experience, low-fidelity visuals, and low-resolution displays.
- 25. Envisioning thefutureof touristsafety in a tech- drivenworld 1.AI-Powered Personalization 2. Predictive Analytics for Travel 3. Blockchain on Travel and Tourism 4. Biometric Technology 5. Augmented Reality and Virtual Reality in Travel 6. Drones and Surveillance 7. Internet of Things (IoT) in Travel
- 26. Security implicationsand managementof Singaporein T&TIndustry AI-Powered Surveillanceand Analytics: Singapore employs AI for monitoring public spaces, leveraging machine learning to identify potential security threats in real-time. Smart Sensors and IoT: Smart city technologies, such as IoT-connected sensors, are deployed in public areas to monitor environmental conditions, crowd density, and unusual activities. Digital Platforms for Crisis Management: The Tourism Information and Services Hub (TIH) and Singapore Tourism Analytics Network (STAN) provide data integration and visualization tools for tracking security and visitor trends. The use of generative AI for multilingual chatbots and automated scheduling supports communication and safety for diverse international visitors. Biometric Innovations: Biometric screening, including iris and fingerprint scanning, enhances secure and efficient immigration processes at airports and checkpoints.
- 27. Security implicationsand managementof DubaiinT&T Industry AI-Powered Platforms:The "Digital Twin for Tourist Police" system leverages artificial intelligence to handle tourist inquiries and complaints efficiently. This system operates 24/7, offering real-time support and improving responsiveness to security and service needs Smart Surveillance Systems: Advanced AI and machine learning are being used to analyze and monitor security footage in real-time. These systems can predict potential threats and automate responses, significantly enhancing preventive measures Integrated Security Measures: Dubai's approach includes biometric authentication, drone surveillance, and robust monitoring of critical infrastructures like airports, ports, and public attractions. Collaboration with Law Enforcement: The city fosters partnerships between private security firms and law enforcement agencies, ensuring rapid responses to incidents and efficient resource allocation. Event Security: With Dubai hosting major global events, stringent security protocols have been developed, including comprehensive plans to protect visitors, venues, and the city's image as a safe destination.
- 28. Interactive brainstorming: Designingan innovative policingsolution ▪ Empathy atEvery Level: Building Trust in Every Interaction ▪ Defining Problems from the Ground Up ▪ Collaborative Ideation: Generating Solutions Together ▪ Rapid Prototyping and Testing: Getting Real-Time Feedback ▪ Iterative Improvements for a Sustainable Impact ▪ Improving Officer Well-Being and Professional Growth
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