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Know-how Machine Vision is disrupting Smart Camera Technology

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As technology continues to grow and evolve with time it is becoming more important to work on futuristic technologies and give birth to innovative smart gadgets which would make our lives easier. Today, smart devices assure you that your home is protected and safe from unwanted risks. Starting from smartphones, smartwatches, and other smart devices you can configure your preferred settings and make your life hassle-free.

Smart cameras are nothing but typical wireless cameras that do more than more than just recording footage or capturing images. They have other additional functions which would help them monitor the status of your homes and even when you are hundred miles away from your home.

Introduction to Smart Cameras

Advanced camera technologies today provide multiple observations which are not only confined to recognizing objects or human motions. But, it also provides deep insights into various situations and behaviors in day-to-day life. When smart camera technologies are combined with computer vision models, camera technology becomes more advanced for providing data that can help you solve various problems effectively.

For instance, now farmers could easily monitor their livestock via optical sensors. As camera manufacturers get computer vision models into their services, customer demands are also becoming more sophisticated.

Know what Smart Cameras can do?

Smart cameras easily track the happenings in your house with the help of a Wi-Fi connection and transmit the video to your smartphone or cloud storage for your archive. You can connect to a free app that you can easily download on your mobile. You can review the footage as well as change the settings as per your desire. These devices are typically login & play which means you can use them right after you download the app. With just following few instructions given by the provider you can easily install your smart cameras in each nook and corner of your house. In this way, you could be sure that there aren’t any blind spots available that might expose you to any unforeseen risks.

Machine Vision is the new trend in camera technology

In the last few years, cameras have seen drastic evolution and now Machine Vision has changed the game. Machine Vision is the new trend in camera technology which is now an integral part of various industrial sectors starting from logistics to manufacturing, smart devices, and more. According to Bloomberg, the global Machine Vision market has reached more than is projected to reach over 18 billion U.S dollars by end of 2025.

Modern-day Machine Vision systems include devices that could scan products at high speed and which have become more affordable to laymen. There is a long list of applications that would easily take away the pain of the uses on various industrial verticals.

Few of the eminent Machine Vision applications are

  • Absence and presence detection,
  • Barcode reading, 
  • Detection of defects,
  • Color verification,
  • Optical character recognition pattern,
  • Matching vision-guided robots and more.

Now with Smart Camera technologies manufacturers easily train, build and deploy computer vision models according to their customers’ need for detailed actionable and valuable data insights. Brands who want to recognize the place as a risk-free environment could easily take the help of smart camera technologies which could detect the proximity of the worker and hazardous materials or any suspicious activities inside the office premises. It could also monitor multiple activities going on in various parts of their offices or manufacturing plants.

About Us:

Data Labeler is a human-powered service provider that specializes in offering conveniently customized and accurate quality-labeled data for any kind of Machine Learning and Artificial Intelligence projects.

Hence, if you are looking for role-based labeling or highly accurate labeled datasets with constant quality checks and flexibility, don’t hesitate to contact us.

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Computer Vision

Computer Vision Model is shaping the future of the Olympics

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As the Tokyo 2020 Olympic Games were successfully completed in August. 2021, we all witnessed amazing performances throughout. Japan being the pioneer in Robotics and smart city advancements exhibited a wonderful show of innovative technologies in this extravagant Olympics sports event. Computer vision is changing the way experts and coaches understand the games.

Let’s dive deep into how Computer Vision can be used in sports events

The Olympic games depended heavily on live broadcasting as audiences around the world were engaged in the competitions. Videos played a crucial role in the Olympic Games when it came to broadcasting, recording or judging and more…

Here’s how Tokyo Olympics combined camera and computer vision:

  • 3D Athlete Tracking

It is a technology that is applied mainly for sprint events. One can view the statistics of the athletes’ running speed that are acquired with the 3DAT technology. Sophisticated cameras are installed around the stadium and capture the movements of sprint runners.

Computing systems are highly effective, OBS can obtain and deliver the analyzed data for generating real-time overlay visualizations. For instance, during ongoing replays, the track will be colored as the sprinter’s run that represents the speed levels and demonstrates the fast speed.

  • Multi-camera Replay System

To make sure that the audiences who are at home must have a better understanding of the competition, the Olympic Broadcasting Services team (OBS) adopts a multi-camera replay system for capturing the real-time movements and situations of the sportsperson from multiple perspectives.

True View technology collaborated with INTEL and utilized football and basketball events. Tiny cameras are installed around the ceiling of the stadium for recording different volumetric data. High-performance server and computer vision recognize the height, depth and width for recognizing the volumetric data to turn it into accurate volumetric videos which are 360 degrees. These can be replayed to generate amazing freeze frames for a detailed explanation of the game.

  • Hawkeye Judging System

The Hawk-eye judging system played a crucial role in this Olympics for the Taiwanese. Lin-Yang duo can win a gold medal for Taiwan in the men’s double badminton tournament just in the last round of the competition where the judges check the surveillance system for identifying if the ball was inbounds or not.

The result and the screen capture went viral in Taiwan. There were more than 10 high-speed cameras installed around the venue combining technologies of artificial intelligence, computer vision and time recording where the Hawk-eye can recognize the shape of the ball following its movement and estimate its landing point. And there must be some deviations from the actual result which is 3.6 mm according to the latest data which is accurate enough for the judgement. Hence, the Hawkeye system has boosted the games to another level.

  • Free Throw robot

The Japanese obsession with robots is unstoppable and you can find robots almost everywhere in Japan that are designed with artificial intelligence technology. The Olympic games are not an exception. CUE is a free throw robot created by Toyota which is designed for free throws and it can be seen in the halftime show in the Olympic Basketball matches.

With all-new sophisticated cameras installed on a space and a set of computer vision systems inside, CUE can identify the goal on the net and then calculate the distance between itself and the goal and eventually come up with the best angle and strength to throw the ball inside the basket. Although CUE is under development, its calculation is very accurate and shots are mostly successful and three-pointers.

From the above real-life examples,

Computer Vision has successfully made sure that it is one of the cutting edge technologies which could be a great helping hand to humans in the future and in the field of sports. And it is not hard to see how we can make the best use of robots with more advanced technologies to assist with training and other events. With so many advanced technologies demonstrated in the 2020 Tokyo Olympic games, we must agree that Japan has done a good job in building smart city advancements.

About Us:

Data-labeler also plays a great role in providing the best quality label datasets for any kind of artificial intelligence or machine learning projects at that level up with highly accurate level data labelling, labelling instructions and sophisticated workforce management software.

For more information, feel free to contact us.

Categories
Machine Learning

7 Best Reasons Why Brands needs Machine Learning in their Business

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Machine learning is one of the most interesting new development in the field of technology. Most importantly machine learning and artificial intelligence systems train themselves on their own. It might sound like the beginning of a sci-fi horror story however; it seems quite promising for almost all in the industrial sector today.

Machine learning empowers business owners and entrepreneurs to do more in less time and helps to focus on the market for better results. Not sure how ML can benefit?

Check out why most business leaders are enthusiastic about adopting Artificial Intelligence and Machine Learning as one of their primary plans:

  1. Automates your task

Machine learning can be useful for you and effectively fill in for an IT team member. Amazing right? Machine learning can easily take up your routine works such as auditing, security, monitoring, classification, and discovery, reporting data, and more. Hence, your team would be able to focus on various other strategical tasks and help grow your business seamlessly.

2. Help in attaining maximum efficiency

you can begin with looking at your organization and identify areas where you have massive data set and where you can apply machine learning for tracking information and help your business attain maximum efficiency. There you can remove the unwanted touchpoint and other manual works. This could also help your team with better decision-making with the effective utilization of machine learning.

3. Help you to do more with less

Machine Learning could easily help business owners by allowing them to change their operational models via cheap predictions.ML enables you to drive down their cost of prediction that is deep-rooted in almost all kinds of business decisions. Also, the previous revenue growth might have the variable cost associated as more decisions are required. And ML could be applied for helping the businesses grow.

4. Enhances your personalization game

Starting from Google to Facebook, machine learning and AI are allowing business owners to spend their ad budgets wisely. At present, AI-driven targeting and insights sideline the guesswork and enable the marketers with the best audience enrichment reports ever. AI strategies help them reach their best with effective data in place.

5. Effective customer engagement

Machine learning is one of the smarter ways to engage your potential clients that helps in saving your employees time and helps you collect valuable data. Brands could easily collect valuable data and use it for sending relevant offers and messages for saving time as well as ad budget.

6. Helps you predict the future market

When AI is deployed to a business, it can be used for predicting the market which is constantly fluctuating. AI could be probably utilized by potential key partners for strengthening your positions and allows you to identify new threats. From an IP point of view, machine learning could also be used for recommending IP to license or defend your position and attack the competition.

7. Detect the latest trends

One of the best Machine Learning benefits is allowing the brands to identify the trends in massive data that are hardly visible. For instance, multiple companies talk about trying to reduce bias in their recruiting processes. Hence feeding all kinds of hiring data into an ML algorithm could throw a perfect picture of the level of biasedness in the process.  

Conclusion:

Today Machine Learning and Artificial Intelligence has become a way of life for most of the prominent sectors. However, all businesses are not able to make the most use of it due to limited resources, unavailability of technological advances, and more.

Data Labeler helps you with accurate, convenient, personalized, and quality-labeled datasets for your various Machine Learning and Artificial Intelligence initiatives or projects. So, you could focus on your core areas seamlessly. Contact us now for more information – sales@datalabeler.com

Categories
Artificial Intelligence

Artificial Intelligence is responsible for reviving the job market

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As Robotics and Artificial Intelligence industries are thriving, people are worried about how many jobs might be automated in the process. However, people have hardly noticed that how artificial intelligence is reviving the job market and creating more jobs in the industrial sectors. AI is creating millions of jobs on a large scale today. Artificial intelligence is responsible for creating various kinds of jobs around the world and AI brands are finding ways to employ people in lesser developed countries to create a positive social impact as well as creating profit at the same time.

You must be thinking how is that possible well it is very much possible with providing a significant number of remote jobs around the globe.

Here’s how AI creating millions of jobs around the world:

There are always two sides to every case, isn’t it? Over here one side is the fear of Artificial Intelligence cutting the jobs and the other is the crucial development of AI through Data Creation and Data Annotation. The ability of Artificial Intelligence comes from data.

For example: identifying cars from an image or understand a human speech is something that the technology learns from the data. Typically, artificial intelligence technologies are built for mimicking a human. Hence, AI should learn from humans which are known as automated data. The data is often referred to as training data.

This data helps the AI algorithms to learn and to perform relevantly. For instance, a chatbot can be trained with the customer service email histories or an autonomous vehicle to be trained from the ground realities of the traffic images, traffic lights, vehicles, pedestrians, etc. The task of labeling audio, images, text, or other forms of data is generally done by humans. A human should have a good look at each piece of the data and label it according to the need of the project. In this way, massive job demands are rising in the artificial intelligence sector.

When we think about Annotating data, it’s not just about a few hundred images or words, an AI algorithm requires millions of data to perform and generalize proportionately. Hence, it means millions of cats need to be labeled in order to be transcribed.

As a result, as more annotation projects and AI brands are coming up it requires a whole lot of contributors too.

Next, you might be wondering where you can find these jobs?

Today many tech companies are looking for people to take off a load of their annotation task. And this is how a complete market of aI training data has taken birth. There are various Data Annotation Companies around the globe that caters to a variety of services and annotation tools. And the best part of this data annotation job is that these tasks could be easily completed remotely. With just a decent internet connection and a computer.

And if you are also looking for a job in Data Annotation, few companies are open for upcoming talents to join them:

  • Data Labeler
  • Lionbridge AI
  • Appen
  • CloudFactory
  • Figure Eight and more

The Data Annotation Market continues to grow and new technologies continue to burgeon we might also see various other new markets in your future.

About Us:

We at Data Labeler believe in providing jobs to underserved communities and make them financially independent. We are on a mission to help them earn a living through the major changes brought by AI and empowering businesses all over the world.

Increase your competitive advantage with unlimited support and exponential growth through our Data Annotation Services.

Contact us at sales@datalabeler.com