TEAL

Titan Engineering and Automation Limited (TEAL) is a subsidiary of Titan Company Limited, a TATA enterprise. Dedicated to component designing and manufacturing, TEAL boasts of world class assembly and testing solutions. By solving complex engineering problems for our customers, TEAL strives to provide innovation, excellence and superior quality products and services. https://www.titanteal.com/

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What is a battery management system in EVs?

Electric Vehicles (EVs) are revolutionizing transportation, offering sustainable alternatives to traditional fossil-fuel-powered vehicles. At the heart of this transformation lies the Battery Management System (BMS), a critical component that ensures the safety, efficiency, and longevity of EV batteries.

Introduction to Battery Management Systems (BMS)

A Battery Management System (BMS) is an electronic system designed to monitor and control the operation of rechargeable batteries. Whether for small consumer electronics or large EV battery packs, a BMS ensures the battery operates within safe and efficient parameters.

Why Battery Management Systems are Vital in EVs

Without a robust BMS, electric vehicle batteries could face numerous challenges, such as overheating, overcharging, or uneven energy distribution. Here’s why BMS is indispensable:

Monitoring Battery Parameters

The BMS keeps track of voltage, current, temperature, and state of charge (SoC) for individual cells and the entire battery pack.

Ensuring Battery Safety

Safety mechanisms like thermal runaway prevention, fault detection, and protection from overvoltage/undervoltage are key BMS functions.

Maximizing Battery Efficiency

By balancing energy flow and preventing energy waste, a BMS ensures the battery performs optimally throughout its lifecycle.

Key Components of a Battery Management System

A BMS is a sophisticated system comprising several essential components:

Battery Control Unit (BCU)

The BCU acts as the brain, processing data and making real-time decisions for optimal battery operation.

Cell Monitoring Units

These units collect granular data from individual battery cells, ensuring precise monitoring and control.

Communication Interfaces

These interfaces enable seamless communication between the BMS and other vehicle systems, such as the energy management system (EMS) and motor controller.

Types of Battery Management Systems

EV manufacturers can choose from three types of BMS designs based on complexity, scalability, and cost.

Centralized Systems

All control functions are located in a single unit, making it cost-effective but less scalable.

Modular Systems

Divided into smaller modules, this system offers greater flexibility and is ideal for large battery packs.

Distributed Systems

A highly scalable system with control distributed across various units, suitable for high-performance EVs.

Importance of BMS in Electric Vehicles

A BMS ensures that EV batteries are safe, durable, and efficient.

Enhancing Battery Lifespan

By preventing overcharging and over-discharging, a BMS extends the usable life of EV batteries.

Improving Performance and Efficiency

It optimizes energy use, ensuring that the vehicle operates at peak performance.

Enabling Scalability and Compatibility

Modern BMS designs allow easy integration into diverse EV platforms, improving manufacturing efficiency.

Titan Engineering and Automation Limited (TEAL) and BMS Solutions

One of the leaders in BMS innovation is Titan Engineering and Automation Limited (TEAL). The company is renowned for its cutting-edge solutions tailored to the evolving needs of the EV market.

TEAL’s Contribution to Advanced BMS Technologies

TEAL develops state-of-the-art BMS systems with a focus on efficiency, safety, and scalability. Their solutions integrate smart algorithms for precise control and monitoring.

Innovations by TEAL in EV Battery Management

From thermal management innovations to real-time data processing enhancements, TEAL’s BMS designs stand out in the competitive EV landscape.

Challenges in Battery Management System Design

Designing a BMS is no small feat, given the following challenges:

Thermal Management

Maintaining optimal temperatures in high-energy-density batteries is critical for performance and safety.

Cost vs. Performance Trade-offs

Balancing affordability with advanced features can be challenging for manufacturers.

Real-Time Data Processing

The need for instant analysis and control demands highly sophisticated processing capabilities.

Future of Battery Management Systems in EVs

The future of BMS technology is bright, with innovations driving the industry forward.

Integration with AI and IoT

Advanced BMS solutions are leveraging AI for predictive analytics and IoT for enhanced connectivity.

Advancements in Solid-State Batteries

Next-generation batteries will require equally advanced BMS designs to unlock their full potential.

Standardization Across EV Platforms

Harmonizing BMS designs across manufacturers can reduce costs and improve compatibility.

The Future of EVs: How BMS and TEAL are Driving Sustainable Innovation

A Battery Management System (BMS) is the cornerstone of any EV, ensuring its battery operates safely, efficiently, and reliably. Companies like Titan Engineering and Automation Limited (TEAL) are in charge of developing innovative BMS solutions that address the growing needs of the EV industry. With advancements in technology and the integration of AI and IoT, the future of BMS looks promising, paving the way for more efficient and sustainable electric vehicles.

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What is the benefit of automation?

Automation, the technology by which a process or procedure is performed with minimal human assistance, is transforming industries worldwide. The benefits of automation extend far beyond mere efficiency and cost reduction; they touch on aspects of quality, safety, consistency, and even sustainability. As industries evolve and the demand for higher productivity increases, adopting automation becomes an option and a necessity for staying competitive in the market.

Key Benefits of Automation

1. Increased productivity: Automation significantly boosts productivity by enabling machines and systems to operate continuously without breaking or downtime. This 24/7 operation capability allows businesses to maximize output, meet higher demand, and reduce product lead time to reach the market. By automating repetitive and labor-intensive tasks, companies can achieve higher throughput and use their workforce better by reallocating them to more strategic roles.

2. Enhanced quality and consistency: One of the most compelling advantages of automation is the consistent quality it brings to production processes. Automated systems are designed to perform tasks precisely, reducing the variability often introduced by human error. This leads to products consistently meeting quality standards, resulting in fewer defects, lower rejection rates, and higher customer satisfaction.

3. Cost efficiency: While the initial investment in automation technology can be significant, the long-term cost savings are substantial. Automation reduces the need for manual labor, which lowers labor costs and minimizes the potential for human error, which can be costly. Additionally, automated systems are designed to optimize materials and resources, further driving down operational costs. Over time, these savings contribute to a higher return on investment (ROI) for automated processes.

4. Improved safety: Automation plays a crucial role in enhancing workplace safety by taking over hazardous or physically demanding tasks. By removing human workers from dangerous environments and repetitive tasks, the risk of accidents and injuries is significantly reduced. Automated safety systems can also monitor and respond to unsafe conditions in real-time, preventing incidents before they occur.

5. Scalability and flexibility: Modern automation solutions are highly scalable and adaptable to changing business needs. As demand fluctuates or new products are introduced, automated systems can be easily adjusted or expanded without requiring major overhauls. This flexibility allows businesses to stay agile and responsive to market trends, maintaining competitiveness in a rapidly changing environment.

6. Data-driven decision-making: Automation systems often have data collection and analysis capabilities. By gathering real-time data from various points in the production process, companies can gain valuable insights into their operations. This data can be used to optimize processes, improve efficiency, and make informed decisions that drive business growth.

TEAL: Leading the Automation Revolution

Titan Engineering and Automation Limited (TEAL), a subsidiary of Titan Company Limited, is a pioneer in providing advanced automation solutions tailored to the unique needs of various industries. TEAL’s expertise in precision engineering and cutting-edge technology enables it to deliver automation solutions that enhance productivity and align with clients' specific goals.

TEAL’s approach to automation is centered around maximizing efficiency while maintaining flexibility. Their solutions are designed to be scalable, allowing clients to easily adjust to market demands without compromising on quality or productivity. Whether in the automotive, medical devices, or electronics sectors, TEAL’s automation systems are built to easily handle complex processes, ensuring consistent quality and high output.

In addition to improving operational efficiency, TEAL also focuses on sustainability. Their automation solutions are engineered to optimize energy usage, reduce waste, and minimize the environmental impact of industrial operations. This commitment to sustainability and its innovative automation technology makes TEAL a preferred partner for companies looking to future-proof their operations in a competitive market.

Embracing Automation for a Competitive Edge

The benefits of automation are profound and wide-ranging, from increasing productivity and quality to enhancing safety and enabling data-driven decision-making. Companies that embrace automation position themselves to thrive in an increasingly automated world. TEAL exemplifies the power of automation by delivering solutions that meet today’s needs and anticipate the challenges of tomorrow, helping businesses stay ahead in a rapidly evolving industrial landscape.

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Automated Assembly Lines have revolutionized production processes 

An ‘Automated Assembly Line’ is, as the name suggests, the use of several automated systems, each working in tandem with the other to complete the assembly of a specific product. Characterized by the use of control systems, automated modules, feeders, automated guided vehicles, and collaborative robots, the automated assembly line has transformed several production processes on the factory floor, improving efficiency levels, and markedly enhancing the efficacy of quality assurance processes.  

Although an automated assembly line can, when viewed comprehensively appear to be a single cohesive functional unit, it is actually a series of separate operational modules connected to each other by a conveyor belt. While at one end of the conveyor belt, raw materials required for production are fed into the assembly line, the assembled or finished product, is ejected, as it were, out of the belt at the other end. Each of these modules or workstations, as they are called, is assigned the task of completing a specific task as part of the production process.  

The control system is the nerve center of the automated assembly line, responsible for a large number of supervisory decisions. Among the decisions that the control system is tasked with making are finalizing the sequence of operations, assigning priority to each task, besides documenting and monitoring the progress of the assembly process. An automated assembly line allows for easier integration of many quality assurance processes including the revolutionary ‘Predictive Maintenance’ model.  

Notwithstanding the many apparent benefits of an automated assembly line, not all enterprises use fully automated systems opting instead to automate only a few select processes. A fully-automated assembly line involves extensive use of robots, wherein they are deployed for many hazardous tasks such as unloading of machinery, packaging, and transportation of goods and raw materials on the factory floor. A semi-automated assembly line, on the other hand, is characterized by human intervention for various intricate processes that require spontaneous judgment and flexible limbs.  

There are various automation models that enterprises can adopt depending on their requirements. The lean automated assembly line model is among the preferred models since it can more readily be integrated into existing production systems, and is also cost-effective. This approach to automating the assembly line involves use of robots, and other automation tools, only where their application can help add value to the product being assembled. At the other end of the spectrum is the ‘Hard Automated Assembly Line’, which is designed and developed for the assembly of a specific product. The obvious drawback of this system is its lack of flexibility. Since it is developed for performing a very specific set of production processes and for the assembly of a particular product, repurposing it for the assembly of another product, or even making alterations to individual workstations to make corresponding modifications to the final product would require either a partial revamp of the assembly line or a complete overhaul.  

Several manufacturing enterprises where the production processes involve the use of heavy machinery have particularly benefitted from the use of automated general vehicles, which can ensure that delicate yet heavy mechanical components are safely lifted and transported along the factory floor. These machines can be programmed to very precise specifications enabling enterprises to put workers out of harm’s way.  

Extensive use of a wide range of sensors for measurement of environmental conditions such as temperature, pressure, and other physical parameters such as speed, torque, etc., has also helped enterprises put into practice the ‘Predictive Maintenance’ model. Automated assembly lines can run self-diagnostic tests, during which, data collected from the sensors serve as inputs, offering comprehensive information on the condition of individual machines. Based on the results of these tests, technicians can pre-empt further damage to the machinery by suspending operations till the problem is located, and fixed.  

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How remote testing can save time without compromising on procedural integrity

Recent advances in cloud technology have not only revolutionised the software and electronics industry, but hold a lot of promise in transforming the manufacturing sector as well. For instance, advances in cloud computing have enabled companies to test machine components and finished products remotely. On the other hand, advances made in Artificial Intelligence and Machine Learning have further enhanced the efficiency of remote testing procedures. In the aftermath of the Covid-induced crisis, which imposed restrictions on presence of personnel on the manufacturing floor, companies were forced to revisit and reassess conventional testing methods. Consequently, the feasibility and viability of remote testing methods offered companies a solution to limit the number of employees on the manufacturing floor while ensuring that there was no compromise where testing was concerned.

The use of cyber-physical systems wherein either a device or an entire network of devices can be connected to the internet has helped expand the scope of remote testing systems. Cyber-Physical systems, which can be integrated with automated systems that, in turn, use Internet of Things (IoT) devices and smart sensors, allow for detailed analysis and evaluation of either the components that are a part of the assembly line or the finished product. For instance, information collected by an IoT device, and subsequently fed as an input to a device that is part of a cyber-physical system can help technicians run advanced simulations, without having to be present at the manufacturing site. On the other hand, cloud manufacturing systems allow companies to procure data directly from the manufacturing floor, which can then be subjected to detailed analysis – this can be expanded to include analysis using Big Data tools – on cloud-based systems.

Although running a full-fledged factory acceptance test (FAT) entirely remotely is not without its attendant risks, it can be achieved by greatly reducing the number of required personnel on the site. Factory acceptance test is the term used for the set of procedures performed to verify the accuracy and efficiency of operations performed by the machinery before, during, and after the assembly. These procedures help companies to ensure that the finished product meets all the requirements specified by their respective clients.

For instance, domain experts, instead of being present on the manufacturing site to test the equipment, can have a worker in the factory wear a high-resolution camera either on their body or on the helmet, relaying the images in real-time to the expert seated perhaps thousands of kilometres away. In fact, connecting this camera with voice-recognition robots can even enable the expert to run tests without involving the worker in question. While the worker wearing the camera gives the expert a tour of the equipment, the latter can simultaneously communicate with a robot on the manufacturing floor, to have any additional tests performed on the machinery.

In fact, several firms have taken to completing machine vision inspection tests using advanced digital tools remotely. While stakeholders in the manufacturing sector may have been apprehensive about the efficiency of remote visual inspection, the many benefits that it offers appear to have convinced many of them to embrace it wholeheartedly. To begin with, remote visual inspection tests allow for the participation of not one but multiple experts, as long as a reliable cloud tool is used. Consequently, participation of multiple experts enables companies to obtain as many perspectives and as many eyes on the component or product being tested, thereby adding another layer to the whole procedure.

Companies have come to appreciate the value in remote testing procedures since it has not only proven to be cost-effective but also enabled them to save precious time otherwise lost in documentation, and redundant verification processes.  

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How use of IoT and IIoT can augment overall productivity on factory floors

So, just what is Internet of Things (IoT)?

 As the name indicates, the IoT is an advanced technology wherein any entity or object with an in-built software or hardware capability can communicate with other devices in a network. The IoT technology enables constant flow of data in real-time without requiring human intervention. The application of this technology has had a transformative impact in the manufacturing sector, where a number of repetitive and routine tasks are automated. IoT has also enabled the evolution of a revolutionary approach to machine diagnostics. ‘Predictive Maintenance’ is a concept wherein systems run diagnostic tests by themselves, detecting any glitch to prevent disruption of key processes.

What is Industrial Internet of Things (IIoT)?

IIoT is the core technological concept around which the fourth industrial revolution dubbed ‘Industry 4.0’ revolves. Strategic application of IIoT technology can pave the way to not just an automated but an autonomous assembly line. These ideas are being constantly evaluated, and their application assessed, to design and build assembly lines that are flexible and can seamlessly adapt to changes in operations and functionality in keeping with the increasing complexity of the products.

Demand for customization driving IoT, IIoT application

One of the problems that manufacturers of highly sophisticated machines or products – be they mechanical, electrical or electronic – face with automated assembly lines is their lack of adaptability. When manufacturers are forced to redesign products in response to changing market dynamics or customer requirements, the conventional automated set-up has to be reconfigured, thereby delaying production, and shrinking profit margins. However, use of IIoT technology can enable manufacturers to put in place an assembly line capable of switching functionality as and when changes are to be made to an existing product, or for the production of a new machine altogether.

Complexity of products is constantly increasing, and conventional automation systems, and manual assembly lines, are struggling to ensure optimal levels of efficiency in the manufacturing process. In particular, the electronics industry remains heavily reliant on the abilities of its human workforce. This is largely because changes to the design of electronic gadgets is a lot more frequent than for other industries. Siemens dubs a fully automated or autonomous assembly system a ‘holy grail’ for all manufacturers.

‘Factories of Tomorrow’

The extensive use of automation systems and IoT devices such as smart sensors has already hinted at the scope for the use of robotic solutions on the manufacturing floor. That being said, there is still vast scope for the application of advanced technologies such as IIoT. In fact, the next iteration of automation in the manufacturing sector will largely revolve around a shift from automation to not merely autonomy of machines but also strategic collaboration between human workers and robots.

Tasks assigned to machines

A number of dangerous but routine and essential tasks that robots are already performing on the manufacturing floor today, largely owing to the advances in IoT and IIoT capabilities include:

Loading and unloading materials

Autonomous packing, picking, and palletizing

Autonomous transportation of materials on the factory floor

Quality inspection

Mounting of components across multiple points

IoT and healthcare

It may sound strange but the healthcare sector is one industry where the IoT technology has found extensive application. The use of IoT devices enables doctors and diagnosticians to collect data in real-time on some of the key values that help indicate the condition of the body. These include blood pressure, heart rate, and even oxygen saturation. Furthermore, the use of IoT devices in diagnostic machinery such as MRI can enable administrators to adopt a more proactive approach to their maintenance, preventing patients from having to endure a long wait often necessitated by repair. IoT devices installed in diagnostic machinery can help technicians derive a more comprehensive view of their condition, and identify snags likely to go undetected in more conventional procedures.

Benefits of IoT

Uptick in efficiency: Firstly, IoT devices can greatly enhance the capabilities of automated systems thereby enabling improved functionality of robots assigned to perform routine and repetitive tasks. Secondly, they can help reduce maintenance costs by identifying snags in very specific parts of a large system, and alerting technicians to the problem so as to pre-empt de-assembly of the entire set-up.

Ability to work with Big Data tools: IoT devices can be seamlessly integrated into systems and can work in tandem with Big Data tools, enabling deriving data-driven insights, which can, in turn, be used to draw a more comprehensive picture of the system’s performance. Furthermore, the use of IoT devices along with Big Data can enable companies to derive real-time data on the performance metrics of multiple components.

IIoT advantages

In addition to its ability to better customize automated systems to meet the bespoke requirements of customers, the significant value that IIoT technology adds to an existing industrial set-up is its potential to reduce waste, which can have a positive impact on the bottomline.

What is more, IIoT devices, in comparison with their IoT counterparts, come with a guarantee of greater security. The cybersecurity protocol built into the IIoT devices makes them considerably safer to integrate into a manufacturing set-up, with industries not having to fear breach of their database management systems.

In view of the many recent advancements in technologies such as ‘Edge Computing’, which enables processing of data close to the source, the possibility of a ‘Smart’ factory, powered by an entire suite of IoT and IIoT devices is now closer than ever. Going ahead, advanced robotic systems will work in tandem, collaborating actively, with human workers, with the prospect of an autonomous assembly line seeming more viable and feasible then before.

TEAL is at the forefront of pioneering IoT and IIoT-powered automation solutions, with a thrust on efficiency and productivity. From vision-based inspection systems to developing automated assembly lines, TEAL’s expertise is spread across a vast functional area, with each product being built to meet the specific requirements of the enterprise in question, and the industry concerned.

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Empowering Tomorrow: Unveiling the Future Scope of Electric Vehicle Batteries 

In the dynamic landscape of automotive technology, electric vehicles (EVs) have emerged as the trailblazers of a cleaner, more sustainable future. EVs offer a number of advantages over traditional gasoline-powered vehicles, including lower emissions, reduced operating costs, and improved performance. At the heart of this revolution lies the key to their success - electric vehicle batteries. EV batteries have come a long way in recent years, becoming more efficient, affordable, and durable. However, there is still room for improvement. Researchers and manufacturers are working on developing new battery technologies that can further enhance the performance and affordability of EVs. 

In this article, we are going to delve into the evolving world of EV batteries, exploring the current state of technology, future advancements, and the instrumental role played by TEAL in shaping the future scope of electric vehicle batteries. 

The Current Landscape of EV Batteries 

As the world transitions towards a greener transportation model, electric vehicle batteries have become the linchpin of this transformative journey. The current scenario is dominated by lithium-ion batteries, renowned for their energy density, efficiency, and longevity. These batteries power the majority of today's electric vehicles, providing a reliable and viable solution for zero-emission mobility. 

Advancements in Battery Chemistry 

The future scope of electric vehicle batteries is marked by continuous advancements in battery chemistry. Researchers and engineers are exploring alternatives to traditional lithium-ion batteries, such as solid-state batteries and lithium-sulphur batteries. Solid-state batteries, in particular, hold the promise of higher energy density, faster charging times, and increased safety, paving the way for more accessible and efficient electric vehicles. 

Increasing Energy Density 

A key focus in the future of EV batteries is enhancing energy density. Higher energy density translates to increased driving range and improved overall performance of electric vehicles. As technological advancements progress, battery systems are expected to deliver more energy in a smaller and lighter package, addressing one of the primary concerns of electric vehicle adoption. 

Fast-Charging Technology 

The future of electric vehicles is intertwined with the ability to charge quickly and conveniently. Fast-charging technologies are a focal point in the development of electric vehicle batteries, offering the promise of significantly reducing charging times. TEAL actively explores and implements solutions that support fast-charging capabilities, making electric vehicles more practical and accessible for consumers. 

Lower EV Costs 

Lower battery costs will make EVs more affordable. This will make EVs more accessible to a wider range of consumers. 

Reduced Environmental Impact 

EVs with longer ranges and faster charging times will be more attractive to consumers. This will lead to increased EV adoption, which will help to reduce greenhouse gas emissions and improve air quality. 

The Role of Artificial Intelligence 

Artificial Intelligence (AI) is becoming increasingly integral to the future of electric vehicle batteries. AI algorithms can optimize charging and discharging cycles, extend battery life, and enhance overall performance. TEAL leverages AI in its automation solutions, contributing to the development of smarter, more efficient electric vehicle batteries. 

In addition to the benefits mentioned above, new EV battery technologies can also help to improve the safety and reliability of EVs. For example, solid-state batteries are less flammable than traditional lithium-ion batteries, making them safer for use in EVs. 

TEAL's Role in the Future of EV Batteries 

TEAL (Titan Engineering and Automation Limited) is a leading provider of engineering and automation solutions for the battery industry. TEAL offers a wide range of products and services, including: 

Battery cell assembly lines: TEAL designs and manufactures a variety of assembly lines for battery cell manufacturing. 

Battery pack assembly lines: TEAL also designs and manufactures assembly lines for battery pack assembly. 

Battery testing equipment: TEAL offers a variety of equipment for battery testing solutions. 

TEAL is at the forefront of developing new technologies for battery manufacturing and assembly. The company is committed to helping its customers produce high-quality, affordable EV batteries. 

TEAL's Vision for an Electrifying Tomorrow 

In conclusion, the future scope of electric vehicle batteries is a landscape of innovation and promise. TEAL, with its unwavering commitment to technological excellence and sustainability, stands as a driving force in shaping this future. From advancements in battery chemistry to the integration of green initiatives, TEAL envisions an electrifying tomorrow where electric vehicles are not just a mode of transportation but a beacon of sustainability. As the world accelerates towards an electric future, TEAL's contributions continue to illuminate the path towards a cleaner, greener, and more sustainable tomorrow. 

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Clock Buffer Market Forecast to 2028 - COVID-19 Impact and Global Analysis

In recent years, the demand for cloud computing has been rising significantly, which surged the penetration of the internet. Therefore, many FDIs are investing a massive capital in North America, which positively impacts cloud computing adoption. In addition, the rising security concerns have forced many organizations to adopt cloud computing to secure their business operations and run their business smoothly and efficiently. Many US-based companies have maintained a strong presence in the global clock buffer market to expand their business. Thus, cloud service companies are partnering together to become strong in the clock buffer market. More than 90% of Canadians have access to the internet. The Canadian government’s preference for storing data in-country due to strict data policies is forcing international companies to establish operations and data centers in Canada.

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The visible and UV laser diode market size is projected to reach $4.49 billion by 2028 from $ 3.12 billion in 2021; it is expected to grow at a CAGR of...

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Passive Terahertz Scanning Technology Helping Improve Transportation Security

Terahertz body scanners have a few advantages such as noionizing radiation, extremely high image acquisition rates of up to 5,000frames per second, easy integration into industrial processes, and low cost.Also, a new sub-terahertz security body scanner has been developed to respondto the urgent demand for efficient, safe, and speedy imaging in remote securityscreening applications. The integration of innovative THz sensing technique and advanced signal-generating technology based on IMPATT dioderesulted in a cost-effective cutting-edge system capable of real-timevisualization of the threats hidden under people's clothes.

Moreover, theexisting full-body scanners are used at most of the US airports' bouncemillimeter waves off passengers to spot objects hidden under their clothes.However, there are a few market players offering innovative body scanners thatare safe and widely adopted. For example, Thruvisions device uses a passiveterahertz technology that reads a person's emitted energy, similar to thethermal imaging used in night vision goggles. Thruvision has promoted itsscanning devices as being capable of screening up to 2,000 people in an hourand detecting a concealed weapon up to 25 feet.

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The GNSS Chip Market Size is projected to reach $8.32 Bn by 2028 from $5.66 Bn in 2021; it is expected to grow at a CAGR of 5.6% from 2021 to 2028....

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The railway connector market size is expected to grow from $803.50 million in 2021 to $1,150.21 million by 2028; it is estimated to grow at a CAGR of 5.3%...

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The advanced packaging market to grow at a CAGR of 8% to reach $55 billion by 2028 from ~$30 billion in 2020. The advanced packaging market growth is...