24 Sep
Tech Services

Excloosiv Launches Bhoonk, Restaurant POS and Billing Software

Manage your restaurant inventory from anywhere

A simple 3-click restaurant billing process ensures that even your most untrained staff can start printing bills in no time.

  • Works on any PC, laptop, phone & printer
  • Keyboard and Touchscreen Views
  • Multiple KOT printer/ KDS Configuration
  • Customizable bill format with QR-code for payment

Multiple Outlets, one centralised Software

Have Multiple Restaurant Outlets? Maintain every outlets with a single Software. Get Multiple Organised User Panels.

Reduce food wastage

Tracking food waste is crucial for accurate ordering and forecasting. It provides managers with insights as to where more training might be required

  • Identify which recipes tend to produce the most waste and inventory variance across all restaurant locations
  • Monitor product usage to gain insights into sitting inventory, stock levels, and variances in projected costs
  • Easily determine which restaurant locations may require additional training to improve efficiencies
  • Track all of your data around sales, restocks, re-counts, and variances to help identify the best ways to reduce operating costs

Integrated Food Ordering App for your restaurant

Get an app for your for taking online order or for a take away service. Customers can easily place order by scanning a QR Code and order is easily triggered against the particular table number.

Customers can also opt for Take Away or Delivery Option.

Timer based KOT

No more delay in delivering the order to customer to their table anymore as BHOONK has got a timer based KOT, which automatically gets displayed in the kitchen as soon as the order is punched. Now you can easily check, which order is getting late and immediate action should be taken.

During the rush hours, easily track orders according to the chronology and fulfill the order in the First Come First Serve Basis.

Offer your Customers Digital Food Menu

Forget the old Traditional method of offering menu to your customers. Now ith BHOONK offer your customers a cool digital menu on each table of your restaurant. Generate QR code for every table with our Software and let your customers scan and order their food easily. Its time to save papers and go Digital.

Easy Notification System for Waiters and Chef

Real Time Notification in the Kitchen as soon as an order is placed.The restaurant waiter also gets notified as soon as the order is ready, so that the waiter can collect the order and serve it to the customers.The entire process is happening in the real time, thus automating the entire Order and Delivery System.

24 Sep
Tech Services

Structural Health Monitoring

Abstract

Advances in sensors and information technologies have brought structural health monitoring (SHM) as a data-driven remedy for civil infrastructure safety. Smart and mobile sensor systems have taken SHM discipline to a new era in the past two decades. Smartphones, in parallel, have paved the milestones of innovative SHM applications empowered by smart, distributed, wireless, mobile, and participatory sensor networks. This chapter introduces the advent of smartphones as an SHM technology and describes crowd/citizen engagement into an SHM framework. In contrast with the traditional monitoring approaches, there is a lack of control in sensor operation in terms of time, location, duration, and coupling conditions. These discrepancies are formulated as citizen-induced uncertainties, and smartphone-centric multisensory solutions are proposed. Smartphone-based SHM can characterize cyberphysical civil infrastructure systems, e.g., updating numerical bridge models with crowdsourced modal identification results in an automated manner. The chapter concludes with the state-of-the-art vision for smartphone usage in SHM, near future trends, and finally long-term research directions.

Bridge Monitoring

Abstract

Structural health monitoring (SHM) has the potential to transform the bridge engineering industry by providing stakeholders with additional information to inform decisions about the design, operation, and management of bridges throughout the structures’ lifespans. This chapter gives guidance on SHM for engineers who design, build, operate, and maintain bridges. There remain numerous technical challenges to overcome when deploying SHM systems; however the most important issues to consider are how to decide what information is required, and then how to develop a strategy to deliver this information in a form that is easy to interpret and can inform decision making. This chapter gives an introduction to the uses and current capabilities of SHM. Directions for future research and management of bridge SHM systems are also discussed.

A novel approach for implementing structural health monitoring systems for aerospace structures

SHM can be defined as automated methods for determining adverse changes in the integrity of mechanical systems. The objective of an SHM system is to provide an automated and real-time assessment of a structure’s ability to serve its intended purpose. The need for and the benefits of SHM systems for civil, military, and aerospace applications have been documented by many researchers. A typical SHM system consists of a diagnosis component (low level), which includes the levels of detection, localization, and assessment of any damage, and a prognosis component (high level), which involves the generation of information regarding the consequences of the diagnosed damage. Fig. 2.1 illustrates a notional SHM system. The current diagnostic component approach is to process sensory data using pattern recognition methods for classification of structural states. Training data is used to design a classifier, and the resulting classifier performance is evaluated by scoring the classification results from data not utilized during the design or training phases. Although information provided by the low levels of SHM could reduce inspection time and cost, low-level approaches have achieved only limited success to date [10]. This is primarily due to the fact that these approaches require training data from all anticipated damage states and operational environments to be effective. Most research has focused on the low levels of SHM and very little attention has been given to the high levels in SHM. Information provided by the two higher levels of SHM relates to quantifying the degree of damage and ultimately provides an assessment of the consequences of damage in terms that are the most meaningful to maintainers, operators, and commanders for improvements in operation. Exploiting the full operational benefits of SHM requires a new methodology for information processing. CASE is well suited for this application and is discussed in the next section.

Recent advances and trends in structural health monitoring

Challenges for structural health monitoring

SHM is an efficient way to safeguard national property. Although SHM has various advantages, like maintaining only when required, which reduces capital expenditures and increases the life span and improves public safety, there are certain limitations of structural health monitoring. Limitations of SHM are that when neglected this can cause great damage to the structures as well as to public around it.

State that the failure of civil infrastructure systems to perform at their expected level might decrease the national gross domestic product by almost 1%. However, improved structural health monitoring of civil infrastructures can help in improving the performance ratio. Differences in the shapes and sizes of the structures and also the age of the structures influence the SHM technique involved. The differences make it difficult for establishing a standard method for all the structures, which could further save time and efforts. The type of SHM system applied on any structure is based on several factors like shape and size of the structure. The structural health monitoring of a bridge like Tsing Ma Bridge in Hong Kong and a building like Shanghai Tower in the same city will be different. The Tsing Ma Bridge is the longest suspension bridge in the city with the main span of 1377 m, and the Shanghai Tower is 632 m tall. The structural differences in these two buildings thus demand different types of SHM techniques to be used. The Tsing Ma is equipped with a wind and structural health monitoring system. The entire SHM system is comprised of 6 anemometers, 110 strain gauges, 115 temperature sensors, 3 data acquisition outstations, 2 displacement transducers, 19 accelerometers, 10 level sensing stations, 7 weigh-in-motion stations, and 14 GPS rover stations. The Shanghai Tower is monitored by a system comprised of 400 sensors of 11 types like the strain sensors, together with 11 substations.

Similarly, an old structure like Steccata church in Parma, Italy, and a new building constructed in the same city with similar environmental conditions will have different types of health monitoring systems involved. The church is monitored with a laser Doppler vibrometer technique, a noncontact detection technique providing data with great reliability and accuracy; in contrast, a recently constructed building will be installed with embedded sensors to measure the data.

The variations in the structures demand unique monitoring techniques to be employed with each structure. It becomes difficult when there is a lot of construction. Analyzing each structure individually is an enormous task and is prone to defects. Thus standard policies for employment of monitoring methods can save time and capital expenditures as well as reduce the errors involved in collection of measurement data.

Bridge monitoring

Structural health monitoring (SHM) has the potential to transform the bridge engineering industry by providing stakeholders with additional information to inform decisions about the design, operation, and management of bridges throughout their life. This chapter gives guidance on SHM for engineers who design, build, operate and maintain bridges. There remain numerous technical challenges to overcome when deploying SHM systems, but the most important issues to be considered are how to decide what information is required and then how to develop a strategy to deliver this information in a form that is easy to interpret so as to inform decision making. This chapter presents a series of case studies to show how SHM systems can be used in practice to obtain valuable data and to explore the challenges faced during such projects. Future directions for emerging technologies and approaches for future research and management of bridge SHM systems are also discussed.

24 Sep
Tech Services

Advantages and Disadvantages of Artificial Intelligence

With all the hype around Artificial Intelligence – robots, self-driving cars, etc. – it can be easy to assume that AI doesn’t impact our everyday lives. In reality, most of us encounter Artificial Intelligence in some way or the other almost every single day. From the moment you wake up to check your smartphone to watching another Netflix recommended movie, AI has quickly made its way into our everyday lives. According to a study by Statista, the global AI market is set to grow up to 54 percent every single year. But what exactly is AI? Will it really serve good to mankind in the future?

What is Artificial Intelligence?

Before we jump on to the advantages and disadvantages of Artificial Intelligence, let us understand what is AI in the first place. From a birds eye view, AI provides a computer program the ability to think and learn on its own. It is a simulation of human intelligence (hence, artificial) into machines to do things that we would normally rely on humans. There are three main types of AI based on its capabilities – weak AI, strong AI, and super AI.

  • Weak AI – Focuses on one task and cannot perform beyond its limitations (common in our daily lives)
  • Strong AI – Can understand and learn any intellectual task that a human being can (researchers are striving to reach strong AI)
  • Super AI – Surpasses human intelligence and can perform any task better than a human (still a concept)

Advantages of Artificial Intelligence

1. Reduction in Human Error

One of the biggest advantages of Artificial Intelligence is that it can significantly reduce errors and increase accuracy and precision. The decisions taken by AI in every step is decided by information previously gathered and a certain set of algorithms. When programmed properly, these errors can be reduced to null. 

2. Zero Risks

Another big advantage of AI is that humans can overcome many risks by letting AI robots do them for us. Whether it be defusing a bomb, going to space, exploring the deepest parts of oceans, machines with metal bodies are resistant in nature and can survive unfriendly atmospheres. Moreover, they can provide accurate work with greater responsibility and not wear out easily.

3. 24×7 Availability

There are many studies that show humans are productive only about 3 to 4 hours in a day. Humans also need breaks and time offs to balance their work life and personal life. But AI can work endlessly without breaks. They think much faster than humans and perform multiple tasks at a time with accurate results. They can even handle tedious repetitive jobs easily with the help of AI algorithms. 

4. Digital Assistance

Some of the most technologically advanced companies engage with users using digital assistants, which eliminates the need for human personnel. Many websites utilize digital assistants to deliver user-requested content. We can discuss our search with them in conversation. Some chatbots are built in a way that makes it difficult to tell whether we are conversing with a human or a chatbot.

We all know that businesses have a customer service crew that must address the doubts and concerns of the patrons. Businesses can create a chatbot or voice bot that can answer all of their clients’ questions using AI.

5. New Inventions

In practically every field, AI is the driving force behind numerous innovations that will aid humans in resolving the majority of challenging issues.

For instance, recent advances in AI-based technologies have allowed doctors to detect breast cancer in a woman at an earlier stage.

6. Unbiased Decisions

Human beings are driven by emotions, whether we like it or not. AI on the other hand, is devoid of emotions and highly practical and rational in its approach. A huge advantage of Artificial Intelligence is that it doesn’t have any biased views, which ensures more accurate decision-making.

7. Perform Repetitive Jobs

We will be doing a lot of repetitive tasks as part of our daily work, such as checking documents for flaws and mailing thank-you notes, among other things. We may use artificial intelligence to efficiently automate these menial chores and even eliminate “boring” tasks for people, allowing them to focus on being more creative.

Example: In banks, it’s common to see multiple document checks to obtain a loan, which is a time-consuming task for the bank’s owner. The owner can expedite the document verification process for the advantage of both the clients and the owner by using AI Cognitive Automation.

8. Daily Applications

Today, our everyday lives are entirely dependent on mobile devices and the internet. We utilize a variety of apps, including Google Maps, Alexa, Siri, Cortana on Windows, OK Google, taking selfies, making calls, responding to emails, etc. With the use of various AI-based techniques, we can also anticipate today’s weather and the days ahead.

Example: About 20 years ago, you must have asked someone who had already been there for instructions when you were planning a trip. All you need to do now is ask Google where Bangalore is. The best route between you and Bangalore will be displayed, along with Bangalore’s location, on a Google map.

9. AI in Risky Situations

One of the main benefits of artificial intelligence is this. By creating an AI robot that can perform perilous tasks on our behalf, we can get beyond many of the dangerous restrictions that humans face. It can be utilized effectively in any type of natural or man-made calamity, whether it be going to Mars, defusing a bomb, exploring the deepest regions of the oceans, or mining for coal and oil.

For instance, the explosion at the Chernobyl nuclear power facility in Ukraine. As any person who came close to the core would have perished in a matter of minutes, at the time, there were no AI-powered robots that could assist us in reducing the effects of radiation by controlling the fire in its early phases.