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Additive Manufacturing (AM) has tremendous applications in this decade, which speeding up various design, engineering, and manufacturing processes. AM encompasses 3D Printing, 3D Scanning, and software support for designing, printing, and post-processing. It is helpful to the specific stages of the product development cycle by allowing manufacturers to produce better sustainable products than those previously limited by the limitations of traditional production techniques. This technological platform enables engineers and scientists to develop more robust and lighter functional geometries. It triggers an innovative surge in design. AM allows firms to produce complicated components that could not be produced through conventional technologies. 3D printers speed up tool cycles, improve measures and tests, and deliver customised solutions in every element of the development process. 3D printing lays the material in several layers until the product is manufactured per the requirements. This study provides a quick overview of AM, its substantial benefits, and the various types of AM that have been researched. Materials from the three polymers, ceramics, and metals classes have been utilised in all AM processes. This study also discussed the latest developments, featured AM-based process classes, and identified materials used in AM technologies. The authors have identified and discussed seventeen significant potentials of AM and finally discussed AM's potential for Sustainability. 3D printing offers incredible design flexibility, enabling us to build passageways that enhance performance, giving customers and operations great value. The benefits of AM for sustainability are evident in the manufacturing environment today. Readers should be able to access the knowledge structure of the subject through this study, which will assist them in recognising past research, the most active research clusters, and the strength of research relationships.

With the rising human population, travelling on static roads is insufficient to meet modern mobility demands. The global economy loses hundreds of billions of dollars yearly due to traffic inefficiencies, including accidents, pollution etc. We undertake an idea engineering exercise to propose a new concept of travelator roads for future sustainable transportation which has been unexplored for vehicular mobility and is thus the novelty of this work.The proposal offers a paradigm shift from static roads and provides a more generic solution than other advanced transportation technologies. It caters to various United Nations Sustainable Development Goals and provides a safer, self-sustainable, energy-efficient & environment-friendly solution for overcoming traffic violations, jams, road accidents etc. Travelator roads offer easy & quick installation for transportation in rugged terrains & congested areas thereby finding applications in diverse setups like defence, urban & smart cities.Design model and possible calculations are provided to evaluate it as a solution addressing various transportation-related issues. The research methodology in this work entails a review of the literature on current and contemporary transport technologies, followed by an idea engineering exercise to construct a new concept of Travelator roads from an interdisciplinary viewpoint. Further, we propose the application of Additive Manufacturing (AM) for adapting this concept into reality. An AM technology-based prototype for a travelator road can be manufactured to provide a better idea for its effective adaptation in transportation system because AM offers flexibility in design, the opportunity for shape optimization, simplicity in making modifications, shortened time to market, cheap capital needs. Due to material-efficient designs, less waste, and a decreased requirement for production tools, moulds, and dies, AM is projected to result in a significant reduction of raw materials and overall cost involved in actually realizing the concept of travelator roads for future sustainable transportation. Although, there are a number of potential technical issues with AM-based technologies, such as the durability of materials generated by AM for roads, the amount of time required to build sizable amounts of roads, and the upkeep and repair of these roads, which must be addressed.

The purpose of this paper is to highlight the importance of the effective utilisation of internet-based technologies in Additive Manufacturing (AM) through its practical implications in various areas. The key technologies that comprise the Industry 4.0 paradigm and have been previously implemented into the AM process possess immense potential to bring about miraculous manufacturing changes. The ongoing pandemic situation, too, has pushed the industries into the deployment of advanced technologies to deal effectively with the major challenges that followed COVID-19 and to keep up with customers' expectations. Therefore, manufacturing industries need to adopt the latest internet-based technologies into AM, especially for lean and optimised manufacturing and perceived proficiency of advanced printing technologies. This paper identifies goals of sustainable manufacturing that can be accomplished as a result of implementation of Internet of Things (IoT) in 3D printing technology. Also, since the Internet of Things-enabled AM process is an entirely new concept, limited sources are available in this field. Pubmed, Scopus, and Google Scholar databases are used to conduct literature reviews. The study conducted is the most up-to-date information on Internet of Things-enabled AM and is rigorously analyzed to identify prospective application areas. Thus, IoT-enabled AM helps in producing sustainable solutions for humanity and in meeting customers' demands in the stipulated period, thereby contributing to mass personalisation, which is the ultimate goal of Industry 4.0.

Cloud computing is one of the significant facilitators of the health information revolution in the healthcare business. The global exchange of records in the health sector through electronic media is facilitated by cloud computing. In healthcare, this technology increases safety and creates innovation. Communication with the health matrix throughout the world makes feasible by the application of this technology. Cloud computing has been utilised in health care for many years and has evolved in conjunction with developments in business. This technology establishes standard accessible hardware for diverse healthcare applications via a network connection. Cloud computing and processing ensure safe communication, and the cloud servers secure all essential data. Doctors can counsel their individuals on their health and broadcast their patient's daily health regimes, typically keeping their minds and bodies healthy. Psychologists and psychiatrists can use videoconferencing that makes patients comfortable with their patients. This paper discusses cloud computing and its need for healthcare. Major key advantages, barriers, and challenges of Cloud computing for the healthcare industry are identified. Finally, it discusses the significant applications of cloud computing for healthcare. Today more and more healthcare suppliers are providing Internet of Things (IoT) enabled gadgets to patients, and patient data are instantly communicated to their doctors by linking such devices to the cloud system of hospitals. As a result, cloud computing, in conjunction with fast-expanding technologies such as Big Data analytics, artificial intelligence, and the internet of medical things, improves efficiencies and expands the number of ways to streamline healthcare delivery. It improves resource availability, improves interoperability, and reduces costs.

A 3D scanner is a non-contact, non-destructive digital device that uses a light line/laser to accurately capture the shape of a physical object into Computer-Aided Design (CAD) data. It generates a point cloud or a set of data points in a coordinate system that accurately depicts a physical object's size and shape. The urge of human beings to build and recreate 3D objects is an essential requirement in the context of Industry 4.0. In Industry 4.0, 3D scanners are helpful for designing, assessing the minor features of any product, capturing freeform, and providing precise point clouds for complicated geometry and curved surfaces. Today advanced technologies are being introduced in industries, and 3D scanning technology is one of the latest emerging technologies. The situation has progressed significantly, and the ever-emerging world of 3D technology still disrupts a variety of sectors. This paper discusses 3D Scanning, its working process, and its adoption for reverse engineering and Industry 4.0 culture. Finally, this paper covers essential features, traits, and applications of 3D Scanning for Industry 4.0. Using different methods, 3D Scanning can collect information about an item, about an object's highness, breadth, and depth. 3D scanners are available on the market from high-end possibilities. They have different resolutions, and now they provide details of the scan to superimpose colour on an object, but the industry wants them to be developed for other quality attributes.

Industry 4.0 is a new stage in the organisation and control of the industrial value chain, interchangeably with the fourth industrial revolution. It has a broad vision with well-defined frameworks and reference designs, focusing on bridging physical infrastructure and digital technology in so-called cyber-physical systems. Apart from the other essential technologies, Holography is considered a new innovative technology that can completely transform the vision of Industry 4.0. In industrial applications, holographic technology is used for quality control in manufacturing and fracture testing, such as holographic nondestructive testing. Holography has a wide range of applications in medicine, the military, weather forecasting, virtual reality, digital art, and security. The fourth industrial revolution aims to provide automated asset monitoring, decision-making for corporate operations, and real-time network connectivity. This paper explores holography and its significant benefits through various development processes, features, and applications, where the focus is on ‘holography for Industry 4.0'. Hologram technology is a new industry trend and can impact multiple domains of Industry 4.0. Furthermore, the adoption of holographic technologies may improve the efficiency of existing products and services in other technology sectors such as architecture, 3D modelling, mechatronics, robotics, and healthcare and medical engineering.

The term ''collaborative robot'' is commonly known as Cobot, which refers to a partnership between a robot and a human. Aside from providing physical contact between a robot and a person on the same production line simultaneously, the Cobot is designed as user-friendly. They enable operators to respond immediately to work done by the robot based on the company's urgent needs. This paper aims to explore the potential of Cobots in manufacturing. Cobots are widely employed in various industries such as life science, automotive, manufacturing, electronics, aerospace, packaging, plastics, and healthcare. For many of these businesses, the capacity to maintain a lucrative man-machine shared workplace can provide a considerable competitive edge. Cobots are simple to use while being dependable, safe, and precise. A literature review was carried out from the database from ScienceDirect, Scopus, Google Scholar, ResearchGate and other research platforms on the keyword “Cobots” or “Collaborative robots” for manufacturing. The Paper briefly discusses and provides the capabilities of this technology in manufacturing. Cobots are programmed to do crucial things such as handling poisonous substances, from putting screws on a vehicle body to cooking a meal, etc. Human operators can readily control this technology remotely and perform dangerous jobs. This paper's overview of Cobots and how it is differentiated from Robot is briefly described. The typical Features, Capabilities, Collaboration & Industrial Scenarios with Cobots are also discussed briefly. Further, the study identified and discussed the significant applications of Cobots for manufacturing. Cobots are utilised in several methods and a wide range of application areas. These elevate manufacturing and other operations to new heights. They also collaborate with humans to balance the demand for safety and the need for flexibility and efficiency.

Internet of Things (IoT) is a modern paradigm with broad applications in various industries, including healthcare and its associated fields. The full implementation of this technology in the healthcare field is a shared goal, as it enables medical services to operate more efficiently and patients to receive quality care. There are various IoT technology-based healthcare system applications for improving the efficacy and quality of diagnosis & treatments. Globally, the healthcare sector is in a peculiar state. The global population is ageing, and the number of lifestyle and chronic diseases is increasing, whereas individual aspirations are increasing, whereas healthcare is getting expensive. Technological interventions can help to solve this problem. One aspect of problem-solving can be bringing health checkups from the hospital to the patients. This paper aims to study the IoT and its implementation in healthcare. Smart Features, Supportive Enablers, and Operative Work-Process Flow of IoT in the Healthcare Domain are discussed diagrammatically. In this paper, we identified and studied the significant applications of IoT for Healthcare. Various barriers and future challenges in adopting IoT in Healthcare services are also discussed. IoT in healthcare is beneficial at various stages of the patient healthcare-system relationship. Thus, Healthcare providers can obtain necessary health data via real-time monitoring of a patient's condition through intelligent medical devices linked to a mobile application. A physician can assess the patient's condition to develop a better treatment process. In healthcare, this technology can result in significant advancements in patient care management.

Machine Learning (ML) applications are making a considerable impact on healthcare. ML is a subtype of Artificial Intelligence (AI) technology that aims to improve the speed and accuracy of physicians' work. Countries are currently dealing with an overburdened healthcare system with a shortage of skilled physicians, where AI provides a big hope. The healthcare data can be used gainfully to identify the optimal trial sample, collect more data points, assess ongoing data from trial participants, and eliminate data-based errors. ML-based techniques assist in detecting early indicators of an epidemic or pandemic. This algorithm examines satellite data, news and social media reports, and even video sources to determine whether the sickness will become out of control. Using ML for healthcare can open up a world of possibilities in this field. It frees up healthcare providers' time to focus on patient care rather than searching or entering information. This paper studies ML and its need in healthcare, and then it discusses the associated features and appropriate pillars of ML for healthcare structure. Finally, it identified and discussed the significant applications of ML for healthcare. The applications of this technology in healthcare operations can be tremendously advantageous to the organisation. ML-based tools are used to provide various treatment alternatives and individualised treatments and improve the overall efficiency of hospitals and healthcare systems while lowering the cost of care. Shortly, ML will impact both physicians and hospitals. It will be crucial in developing clinical decision support, illness detection, and personalised treatment approaches to provide the best potential outcomes.

Additive manufacturing (AM) produces a complex shaped product from its data, layer by layer, with high precision and much less material wastage. As compared to the conventional manufacturing process, there are many positive environmental advantages of additive manufacturing technologies. Most importantly, there is less waste of raw material and the use of new and smart materials. It appears to concentrate on the output of a component on lesser material waste, energy usage, and machine emissions. There is a need to study the environmental sustainability of additive manufacturing technologies and their applications. As more businesses aim to strengthen their eco-footprint, sustainability in AM is gaining momentum. Visionary leaders of the industry are continually challenging their employees to find new ways to reduce waste, improving their workforce's manufacturing environment, and find innovative ways to use new materials to become more sustainable. The growth in value-added components, goods, and services has resulted from these initiatives. This paper discusses the significant benefit of additive manufacturing to create a sustainable production system. Finally, the paper identifies twelve major applications of AM for sustainability. Although additive manufacturing and technological dominance are being established with crucial industries, their sustainability advantages are visible in the current manufacturing scenario. The main goal is to identify the environmental benefits of additive manufacturing technologies over conventional manufacturing. Industries can now decide on suitable technologies to meet environmental goals.

According to the history of vaccine development, no vaccine for infectious disease has ever been developed in a shorter time than COVID-19. With the enabling scientific efforts and governments support, few vaccines for the COVID-19 have been developed across the globe. Using the keywords COVID-19 or coronavirus and vaccine supply chain management, and review of the literature are conducted on the databases of PubMed, Scopus, and Google Scholar. Study, collected the most up-to-date information on the COVID-19 vaccine supply chain, and then assessed it to find potential challenges and opportunities. Our prior understanding of the structure and function of the coronavirus family has also contributed to the quick development of several vaccination technologies. However, there is still a long way to go in terms of actually getting the vaccinations to people, as well as others that are on the way. In 2021 and beyond, the complicated logistics of controlling the vaccine cold chain, combined with limited government funding to assist distribution, will make mass immunization difficult. We have identified various challenges and opportunities related to the supply chain and logistics for COVID-19 vaccines. The solution to these challenges would play a crucial role to enhance the health quality infrastructure across the world. The present study discusses the various aspects of the COVID-19 vaccine supply chain and logistics that make its biggest challenges. The scale and short time required for global vaccination will teach lessons not only to researchers and manufacturers but also to supply chain managers. Scientists, researchers, and diverse sectors have all also benefited from the influx of opportunities.

The COVID-19 pandemic has created a heartbreaking situation across the globe. It is affecting the human population both in terms of health issues and food safety concerns. Most of the countries are struggling to save their economies during the lock-down conditions. The fight against the COVID-19 is very tough; either one can save the economy or save his country's human population. It seems COVID-19 have all the negative impact across the world. However, there is also some positive impact of this pandemic, where we observe much reduced environmental pollution. There has been significant improvement in the air quality at almost all the places where lock-down is implemented. Air pollution directly affects our health and hence the quality of life. In India, air quality has improved much beyond our expectations during the lock-down. This paper studies the positive impact of the COVID-19 pandemic on air pollution in major Indian cities. In the air quality rating, the paper considers types of air pollutants like Particulate Matters and Gaseous Components as benchmarks. Authors have also used available literature to study the ongoing pollution measurements, impact, and change over time. The study analysed available air quality data of four metros, i.e., Delhi, Kolkata, Mumbai, and Chennai, over the four months (National Lockdown). Two particulate matters (PM-2.5 and PM-10) pollution levels are compared with last year's values to identify the significant variations. Moreover, Gaseous components are used to analyse their impact on the country's human health and food ecosystem. The study analyses the effect of COVID-19 on air pollution, and the general recommendations are given. Paper identifies that there is a very good or positive impact of closing polluting units and vehicular movements.

Blockchain is an emerging technology being applied for creating innovative solutions in various sectors, including healthcare. A Blockchain network is used in the healthcare system to preserve and exchange patient data through hospitals, diagnostic laboratories, pharmacy firms, and physicians. Blockchain applications can accurately identify severe mistakes and even dangerous ones in the medical field. Thus, it can improve the performance, security, and transparency of sharing medical data in the health care system. This technology is helpful to medical institutions to gain insight and enhance the analysis of medical records. In this paper, we studied Blockchain technology and its significant benefits in healthcare. Various Capabilities, Enablers, and Unified Work-Flow Process of Blockchain Technology to support healthcare globally are discussed diagrammatically. Finally, the paper identifies and debates fourteen significant applications of Blockchain for healthcare. Blockchain plays a decisive part in handling deception in clinical trials; here, the potential of this technology offer is to improve data efficiency for healthcare. It can help avoid the fear of data manipulation in healthcare and supports a unique data storage pattern at the highest level of security. It provides versatility, interconnection, accountability, and authentication for data access. For different purposes, health records must be kept safe and confidential. Blockchain helps for the decentralised protection of data in healthcare and avoids specific threats.

Civilizations have witnessed a long list of diseases that have made a devastating impact on humankind's working in almost all aspects of life. At the start, COVID-19 bought the world to a standstill. Today lakhs have lost their lives, many are still struggling on the death bed, and large numbers have lost their jobs. The world's conventional education system seems to come to a halt with the physical closure of all schools and institutions. Understanding the losses that occurred due to several diseases, the present world has to prepare a backup strategy to reduce the economic and human losses. The paper aims to identify the measures required for minimizing the losses caused by COVID-19 to human evolution. Further, this study proposes a working mechanism for several affected sectors during the disease. The paper also discusses the current challenges from the COVID-19 pandemic crisis and possible make-over in the working platform. With the help of this sustainable working platform, the affected sectors from COVID-19 can be helped. Further, we can reset specific sectors and sustainably reshape the world.

Machine Vision (MV), like other digital technologies, is a critical component of Industry 4.0. The high volume of data accessible by visual equipment can well quickly detect & flag faulty goods while recognising their defects, thereby allowing rapid and efficient intervention in industry 4.0. The versions of MV are essential for efficient production on a scale with applications in quality assurance, enforcement, and inventory management. The removal of human error simultaneously minimises the probability of a mistake. This paper briefly discusses MV and how it helps Industry 4.0. Various collaborative features and smart technologies of MV for Industry 4.0 are diagrammatically presented. Further, the authors have identified and discussed twenty significant applications of MV for Industry 4.0. In Industry 4.0 and associated digital industry transition, every step in the process, including manufacturing, inventory control of the supply chain, and more, involves a different and innovative approach. One of the aims is to develop MV capable of seeing, communicating, and working with more accuracy better than human beings. Enabling robots to perceive and help people in dynamic systems provides the way for many opportunities. In the smart plant of the future, MV plays a significant role, in which automated production lines will adapt themselves to optimise productivity, performance, and profitability.

Research sciences and medical societies have recently shifted into using cost-effective biosensors to test food & water contaminants, control human biologic processes, assess precise health diagnosis, and more. Researchers and medical practitioners need safe and cheaper means of performing their research, ensuring public safety, and delivering customised health options to patients. One such solution can be easily carried out by using biosensors. In the new medical field, biomedical studies of diagnosis are of growing significance. Biosensors' applications are for screening infectious to early detection, chronic disease treatment, health management, and well-being surveillance. Improved biosensors technology qualities allow the ability to detect disease and track the body's response to care. Sensor technology is integral to numerous, low-cost, and improved-form factors feasible in modern medical devices. Biosensors have good potential, as it is easy, scalable and effective in manufacturing processes. This paper discusses biosensors and their significant benefits in the medical field. Distinctive capabilities of biosensors in healthcare services and for cardiovascular disease are provided and shown diagrammatically. The paper also discusses various diagnostic biosensors for cardiovascular diseases and provides novel aspects of biosensors for clinical and allied services. Thereby paper provides significant advancements in biosensors in the medical field. Finally, fourteen major applications of biosensors in the medical field are identified and discussed. Biosensors' intelligent wearable properties now allow older people to control their health with lesser interference, and it directly exchanges their medical-related information with healthcare providers, thereby reducing hospital visits. Thus, biosensors have countless prospects for consumer and commercial uses in wellness, fitness, athletics, etc. Linked biomedical devices, apps, firmware, and sophisticated algorithms will do a lot, including allowing major new medical therapies and informing users about health reform, providing solutions and advice informed by real-time evidence.

Internet of Behaviours (IoB) aims to discuss how data are better understood and used to construct and promote new products from the view point of human psychology. The IoB can be used in a multitude of ways by public or private entities. This technology will become a compelling new marketing and distribution platform for companies and organisations worldwide. IoB platform allows developing an in-depth understanding of clients that every company needs. For example, IoB connects all cell phones in the app and can then see their errors and get visual recommendations on strengthening their swing and stroke. The interconnection of devices produces many new data points and extends from the Internet of things (IoT). Businesses collect information from customers through ‘sharing’ between connected devices, monitored through a single computer in real life. This paper is brief about the IoB and its role to fulfil customer requirements. This study also identifies and discusses IoB applications for better customer services. The aggregation of use and information from IoB devices gives helpful insight into consumers' comportments, desires, and tastes, something coined as a computer network. It encompasses many devices from phones to vehicles, exercise reloads, credit cards, to everything else literally connected to the Internet. Thus, The IoB's goal is to record, analyse, comprehend, and respond to all forms of human behaviour in a way that allows people to be tracked and interpreted using developing technology advancements and advances in machine learning algorithms.

Sensors play a crucial role in factory automation in making the system intellectual. Different types of sensors are available as per the suitability and applications; some of them are produced in mass and available in the market at affordable costs. The standard sensor types available are position sensors, pressure sensors, flow sensors, temperature sensors, and force sensors. They are used in many sectors, such as motorsport, medical, industry, aerospace, agriculture, and daily life. The objective of Industry 4.0 is to increase efficiency through automation. Sensors are vital components of Industry 4.0, allowing several transitions such as changes in positions, length, height, external and dislocations in industrial production facilities to be detected, measured, analysed, and processed. Smart factories will also enhance sustainability by tracking real-time output, and automated control systems will minimise potential factory maintenance costs. It can also be seen that digitalisation can improve production mobility, which gives advanced manufacturing firms a competitive advantage. This paper discusses sensors and their various types, along with significant capabilities for manufacturing. The step-by-step working Blocks and Quality Services of Sensors during implementation in Industry 4.0 are elaborated diagrammatically. Finally, we identified thirteen significant applications of sensors for Industry 4.0. Industry 4.0 provides an excellent opportunity for the development of the sensor market across the globe. In Industry 4.0, sensors will enjoy higher acceptance rates and benefit from a fully enabled connecting and data exchange and logistics integration. In the coming years, sensor installations may grow in process management, automated production lines, and digital supply chains.

Hyperautomation is a true digital transformation with the help of advanced techniques such as Robotic Process Automation (RPA), Machine Learning (ML), and Artificial Intelligence (AI). It automates complicated business processes, even where topic specialists were formerly needed. This is an expansion to the processes of traditional business-process automation. Hyperautomation allows automation to do virtual tasks performed by business people by merging AI technologies with RPA. This takes to the next level for detecting and generating automation processes dynamically. It allows companies to combine business intelligence systems, undertake complex needs, and increase human expertise and automation experience. This paper briefly discusses Hyperautomation and its need in the current scenario. Then it elaborates the significant roles of sensors to enhance Hyperautomation. Various versatile Technologies, such as dedicated workflow processes, specific domains of Solicitations associated with Hyperautomation, are also discussed diagrammatically. Then this study further identifies and discusses the capabilities of hyper-automation for industries. Hyperautomation is being utilised to increase the efficiency and human enhancement of automated operations substantially. It comprises several automated tools, including analytics, discovery, design, measurement, monitoring, and complex automation components. Thus, it ideally utilises to integrate state-of-the-art tools and develop new methods of working.

Sensor technologies have improved the everyday life of human beings through their applications in almost all fields. Sensors are devices that detect changes in the source/environment and collect signals, and accordingly, the reaction is designed. There is a range of sources, including light, temperature, movements, and pressure etc., which may be used. A wide range of applications is utilised using innovative sensor technologies in lifestyle, healthcare, fitness, manufacturing, and daily life. In the medical field, the difficulty to take medicine is eased by drug donors fitted with sensors. It reminds them to take medicine via a signal and also supply the necessary medicine at the specified moment. In health care, older individuals, athletes, and risk patients benefit from modern sensor technology. The current industrial trends driving innovation include ultrasound, radar, and non-contact optoelectronic solutions and laser technology. The paper gives a brief overview of the numerous types of sensors that are utilised in everyday life. Various capabilities of sensors for day-to-day healthcare are discussed. Various features, associated nomenclature, and measures for sensors in day-to-day routine life are discussed diagrammatically and finally, the paper identifies and discusses twenty-two significant applications of sensors for daily life. Sensors also produce vital information and exchange data with other connected devices and administration systems when linked to a network. Thus, for the effective running of many companies, sensors are critical. Various types of sensors are used in our daily life, which is more accurate and makes quicker analysis.

Nanosensors are now being used to detect and monitor physical characteristics such as the temperature at nanoscale, with chemical species and nanoparticles. It is nanoscale devices that monitor and transform physical quantities into signals that are detectable and analysable. Nanosensors are used in medical, pollutant control, pathogens detection, monitoring processes of manufacturing and transportation systems. This technology can identify specific cells at the molecular level to deliver medicine and monitor the development of particular places in the body by measuring physical characteristics such as volume, concentration, movement and speed, gravitational, electric, magnetic forces, pressure, temperature, etc. This paper briefly discusses nanosensors and their associated varieties and their sensing techniques, along with advancements. Taxonomy of nanosensors for industrial perspectives and associated recognition elements are discussed diagrammatically. Furthermore, ten significant potentials of nanosensors are identified and discussed. Therefore, the present review work may be a basis for future research work to find a consolidated report on the potential of various nanosensors.

Now a day's manufacturing has become more intelligent and data-driven. A smart production unit can be thought of as a powerful connected industrial system with materials, parts, equipment, tools, inventory, and logistics that can transmit data and communicate with one another in the age of the Industrial Internet of Things (IIoT). This IIoT refers to linked devices, sensors, and other equipment that may be networked in the industrial environment to provide remote access, effective monitoring, better data collecting, analysis, & exchange etc. In Industry 4.0, IIoT is fundamental to transforming cyber-physical systems and production processes through big data and analytics. This paper provides an overview of the IIoT and the technologies that underpin it. The primary benefits and features of IIoT in manufacturing are discussed in detail. Smart Transformations made into the manufacturing field through IIoT Culture are discussed diagrammatically. Finally, twenty-nine significant applications of IIoT in the field of manufacturing are identified and discussed. IIoT can monitor the transport, supply of the goods, consult details on things in warehouses, and check the conditions related to product storage and delivery and allow all dispersed and outsourced operations to be monitored. Therefore, the industry is being revolutionised by IIoT, altering the way industrial enterprises function daily to improve efficiency and performance levels.