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Future Tech: What is Machine Vision?



Businesses across the globe are dealing with daily financial and political uncertainty, set against a backdrop of pandemic recovery. Optimizing processes and systems with advanced automation has the potential to improve efficiencies and support companies as they look to not just survive but thrive in a volatile environment.

Machine learning (ML), artificial intelligence (AI), and robotic process automation (RPA) are all terms we frequently hear when discussing the value of advanced automation. Machine vision, however, is a key part of unleashing the full potential of these technologies – yet it is rarely included in the automation conversation. Operational managers need to be aware of the role it plays in automation to get the best of out of automating their front and back-office processes.

Its value in automation lies in its ability to capture and process large quantities of documents, images, and video quickly and efficiently in quantities and speeds far in excess of human capability. Machine vision usually works with other advanced technologies, including natural language processing, RPA, AI, and machine learning, to deliver automation’s impact on business operations.

Machine vision is the eyes of automation, AI and machine learning are the brains and RPA is the backbone you hang these technologies onto to leverage them in automation.

Capitalizing on business opportunities

Automation adoption has accelerated in recent years, becoming essential for businesses to remain competitive across industries. While organizations are prioritizing these investments, they are also facing increasing cost pressures, with the aftershocks of the pandemic, supply chain disruptions, and geopolitical events all spiking the prices for essential materials, products, and services.

Documents, images, and computer screen-based information are ubiquitous elements of the work organizations need to do. Because of this, the use of computer vision has exploded because a significant parentage of front and back-office processes involves dealing with visual information whether that be documents, videos, or objects like text boxes, scroll bars or buttons on screens. In many businesses, if you want to automate at scale, you will probably have to process image data of one form or another at scale as well.

One of the most common uses of machine vision in automation is in document processing. Machine vision combined with machine learning are the active ingredients of what is referred to as intelligent document processing (IDP): automatically processing and classifying documents, extracting printed or handwritten data, and then deciphering the content for further automated processing.

IDP is particularly useful when automating document qualities at scale. For example, the technology is transforming traditionally paper-heavy and process-driven sectors, like the financial services industry – by minimizing the need for people to be involved in certain processes that might typically have required extracting data from large numbers of documents.

Even during the peak of the pandemic in 2020, when most were relying on screens and working from home, an estimated 2.8 trillion pages of paper were printed. Companies are also collectively spending billions on annual wages for data entry.

Machine vision automation is not just about scale, though – it’s about accuracy and improving the work humans do as well. The tedious repetitiveness of these tasks contributes to significant error rates and leads to low satisfaction and high levels of turnover, particularly when dealing with handwritten documents which are processable with IDP.

Insurance administrators need no longer devote their days to manually digitizing paper applications; banking clerks don’t have to manually enter customer information or spreadsheet data into databases; brokers can avoid the additional work that arises from the errors that can occur when processing high volumes of transactions under strict daily deadlines.

By filtering machine vision extracted data inputs through machine learning and AI-based technologies, the speed, accuracy, and organization of processing needed to embrace automation technologies can be realized.

The sophistication of how computer vision is applied in autonomation is not limited to document processing. Video-based facial recognition in security processes, checkout-less supermarkets, and remote equipment identification via drones for inventory management are examples of how computer vision is being leveraged in automation.

Machine vision-based technologies are even becoming central to the creation of automations themselves.

For example, instead of relying on human workers to describe processes that are being automated when designing automations, recordings of the process to be automated are created and then machine vision software, combined with other technologies, is used to capture the process end-to-end and then provide the input to automating a lot of the work needed to program the digital workers (bots).

Ensuring accuracy and leaving collaboration with humans in the loop

Standards of accuracy and bias are a concern cited by organizations when it comes to relying on artificial solutions to undertake certain processes. This is why it’s important to have the right processes in place for each application to ensure the best outcome.

For automated document processing measures that loop in human workers when uncertainties arise are common. Just like some oversight is needed for humans undertaking processes, that diligence should be applied to digital workers as well.

Conversely, machine vision and AI have also been used to QA human-based processes. In healthcare, automated second opinions of radiology-based diagnoses are increasing in use.

This is partly because it reduces the time and cost it takes to process second opinions but also because, in a growing number of areas, machine vision/AI-based processing of radiology images is more accurate than humans.

Human in the loop (or automation in the loop) avoids the issue of relying solely on technology or humans in areas with critical consequences, whilst allowing humans to utilize the statistically more efficient and accurate capacities of automation technologies. Human healthcare workers are then able to effectively attend more resources to more patients by reaping the benefits of human-digital collaboration.

This is the real driver of automation in healthcare – the realization that every cost saved in administration and clinical processes is a cost that can be allocated to improving patient care. It goes without saying that healthcare is one of the most enthusiastic adopters of automation today.

The future of work is agile and machine vision facilitates this, adding more intelligence to intelligent automation. This technology allows digital workers to interact with screens, documents and video like humans do, which is a big breakthrough. Ultimately, a more fulfilled and satisfied workforce, along with a more competitive and profitable business, are achieved.

Endless possibilities and opportunities

Machine vision is integral to maximizing the impact of advanced automation technologies on business operations and paving the way for increased capabilities in the automation space. Self-driving cars are not too far off and demonstrate how machine vision is being pushed to it furthest capabilities.

We speak a lot about empowering employees to do more fulfilling work; as we move forward, it’s going to be about giving people the opportunity to live more fulfilling lives in and outside work. Not only can machine vision unlock more opportunities for people to thrive, but it can also enable businesses to successfully navigate an evolving landscape, reduce costs and increase efficiencies – no matter what challenges and uncertainties lie ahead.

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4 Important Tips for Having a Vacation Abroad



4 Important Tips for Having a Vacation Abroad

Are you planning to go abroad but still don’t know what to prepare? People dream of going abroad, especially to countries like America and Europe. If this is your first time going abroad, you should check the following tips!

Prepare All Important Documents

The first thing you need to do is prepare important documents. For example, passports, ID cards, visas, and international driving licenses if you are going to drive abroad. Make sure you know whether the country you are going to visit is visa-free or not. For Southeast Asian countries, the Maldives and Turkey are visa-free, so you only have to have a passport. But a visa is still needed if you want to go to South Korea, Europe, or America. Make sure to scan your document and save it in the cloud like Google Drive or iCloud. Oh, yes, remember to check your vaccination status. Because every country needs your health information.

Make Itineraries

Itinerary is important for those who want to travel abroad. The reason is holidays abroad cost a lot of money, so when you can, take advantage of it with a well-planned schedule. Research in detail the tourist destinations you want to visit. For example, what is unique in it, ticket prices, transportation to get there, to the distance from the inn you’re staying. Remember to include places to eat that you want to try. Make sure the place to eat is according to your preferences, such as halal or free of certain food allergies.

Book Tickets in Advance

When you know how long you will be on vacation with the itinerary that has been prepared, it’s time to book plane tickets and lodging. Find cheap tickets by:

  1. Using promos and discounts on travel agent applications.
  2. Comparing which price is lower and what kind of facilities you will get.
  3. Choosing accommodation that fits your budget but is still comfortable.

Oh yes, also remember to check how the pandemic situation is in the country you are going to visit. Do you have to quarantine or not? Because it will affect your itinerary and accommodation. Due to the pandemic conditions that have not fully recovered, check whether there is still Indonesia quarantine after returning from vacation.

Exchange Money and Check Your ATM Cards

Exchange your currency into the destination country’s currency, for example, yen, euros, dollars, won, and others. But remember, don’t carry too much cash because it’s also prone to theft, besides being wasteful. For the rest, you can do cashless transactions. Check your bank’s ATM card to see if it has Visa, MasterCard, or Cirrus logos. This row of stamps indicates that your bank is working with banks abroad. Or you can also use a credit card to make your transaction easier.

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Down 43%, Is This Tech Stock Worth Buying Right Now?



Down 43%, Is This Tech Stock Worth Buying Right Now?

Skyworks Solutions (NASDAQ: SWKS) announced its fiscal 2022 fourth-quarter results (for the three months ended September 30) on November 3, and the supplier Apple’s stock price has risen 11% since then.

Skyworks beat expectations and showed solid growth at a time when smartphone sales were declining, but forecasts show the chipmaker is about to hit a bump. With that said, let’s take a closer look at the latest results from the chipmaker. Let’s take a closer look at whether the stock can sustain new momentum after losing 43% of its value in 2022.

Skyworks solutions deliver reliable results for non-mobile businesses
Skyworks’ fourth-quarter revenue increased 7% year-over-year to a record $1.4 billion. The company also reported non-GAAP (adjusted) earnings of $3.02 per share, up 15% year-over-year. Skyworks easily justified analyst estimates of $2.91 per share. For the year, the company’s revenue increased 7% to $5.5 billion and earnings rose similarly to $11.24 per share.

The strong growth of chipmakers in the fourth quarter was the result of successful diversification into new markets such as Internet of Things (IoT) and automotive, as well as relationships with major smartphone original equipment manufacturers (OEMs). Yes, it helped make up for it. Weakness in the smartphone market. space. However, it was the non-mobile business that put a lot of effort into Skyworks last quarter.
As CFO Chris Sennesael noted in the report, the company generated $500 million in revenue from broad market segments (counting chip sales for non-mobile applications like IoT), up 30% from the previous year. Last earnings conference call. Broad market companies contributed 36% of Skyworks’ revenue last quarter, up from 29% in the same period last year.

It’s also worth noting that Skyworks earned $2 billion in revenue from this segment for the entire fiscal year. That’s almost 43% more than the $1.4 billion in revenue last fiscal year. The good news is that the company’s business in a wide range of markets can maintain its momentum. This is because, as Skyworks showed in its earnings report, it is attracting new customers in high-growth niches like IoT.

“In IoT, we continue to win new customers and expand our content. We have partnered with Vodafone to launch the UK’s first WiFi 6E platform. We have launched a solution for Fi 6 hotspots.”

Skyworks also enables the deployment of O-RAN (Open Radio Access Network) and delivers record quarterly results in the high-growth automotive business niche. For example, the O-RAN market is expected to grow at an annual rate of 42% until 2030. Meanwhile, according to Mordor Intelligence, the demand for connected cars will grow by 19% per year until 2027.

These catalysts explain why Skyworks expects its broad commercial segment of the market “to be a major driver in FY23 and beyond.”

The mobile business was not in its best last quarter
Skyworks’ mobile business generated approximately $907 million in revenue last quarter (this is total revenue minus $500 million from the broader market business). By comparison, 71% of Skyworks’ $1.31 billion in revenue last year came from its mobile business, worth nearly $931 million.

Thus, the company’s mobile business, which generates most of its revenue, declined year-over-year in the most recent quarter. This is not surprising given that smartphone sales have been declining for the past five quarters. Skyworks considers Apple its biggest client, with the smartphone giant generating 58% of its revenue last year.

Last quarter, Apple shipped 48.5 million smartphones, 6.4% more than last year. However, the overall smartphone market was down 9% year-over-year. And now things could get even worse for Skyworks.

All of this explains why Skyworks management is targeting a sharp drop in sales and profits. The chipmaker expects revenue of $1.3 billion to $1.35 billion and adjusted earnings of $2.59 per share in the first quarter of fiscal 2023. These numbers show double-digit declines in both revenue and earnings compared to the last year.

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Tech Shares May Weigh On Taiwan Stock Market



Tech Shares May Weigh On Taiwan Stock Market

(RTTNews) – The Taiwanese stock market fell nearly 230 points (1.7%) on Tuesday after falling for two days. The Taiwan Stock Exchange is currently just above the 14,700 plateau, but selling pressure is likely to resume on Wednesday.

The global outlook for Asian markets is mixed, with little change ahead of major economic events that could affect the interest rate outlook. European and US markets were mixed and flat, followed by Asian equities.

The Tokyo Stock Exchange closed sharply higher on Tuesday after gains in financial, technology and cement stocks.

The index closed at 14,709.64, up 152.77 points (1.05%) after trading between 14,449.05 and 14,716.58.
Among assets, Cathay Financial was up 3.45%, Mega Financial was up 1.78%, CTBC Financial was up 2.93%, Fubon Financial was up 2.94%, First Financial was up 1.35%, E Sun Financial rose 1.66%, Taiwanese semiconductor company rose 1.35% and United Microelectronics rose 1.35%. Corporation and Catcher Technology rose 0.56%, Largan Precision shed 0.22%, MediaTek rose 1.42%, Delta Electronics rose 1.71%, Novatek Microelectronics rose 0.51%, China Steel rose 0.51%. 2.87%, Formosa Plastics shed 0.22%, Nan Ya Plastics rose 0.92%, Asia cement rose 1.48%, Taiwanese cement rose 1.67%, and Hon Hai Precision remained unchanged.

Wall Street’s lead indicates a slight negative bias as the leading average rose, then fell in the middle of the session, but then rose to end the mix almost unchanged.

The Dow rose 3.07 points (0.01%) to close at 33,852.53, while the NASDAQ fell 65.72 points (0.59%) to close at 10,983.78, and The S&P 500 fell 6.31 points (0.16%) to 3957.63.

Volatile trading on Wall Street comes amid continued uncertainty about the situation in China following widespread outcry over the country’s Covid restrictions.

Traders may also have been reluctant to make any significant moves ahead of comments from Federal Reserve Chairman Jerome Powell today that could provide further clues about the rate outlook. Unemployment data continues to be released on Friday.

In terms of economic news, the Conference Board released a report showing a moderate decline in US consumer confidence in November.

Crude oil futures ended higher on Tuesday, extending gains from the previous session on hopes that OPEC could cut production to support prices later this week. West Texas intermediate oil futures rose $0.96, or 1.2%, to $78.20 a barrel in January.

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