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3 Ways IoT Tech Is Making Construction Safety amp More Efficient In 2018

For those who are part of the construction industry, you are probably familiar with the term, “Internet of Things,” or better known as IoT technology. For the past few months, it has been making a lot of waves, and analysts believe that it would have a significant impact on the construction world later on.

On the other hand, for those who are not quite familiar with the term, allow us to give you a brief overview. The IoT technology is the latest innovation that helps in improving not only the efficiency but safety in some industries.

For instance, in homes utilizing smart home technology enjoys the privilege of being able to remotely lock their door and have access to their home’s security cameras with the use of a smartphone. Likewise, it’s also capable of regulating the temperature even if you’re not physical present within the building.

On a bigger scale, the Internet of Things continues to improve the productivity of the workers, while ensuring their safety at the same time.

So, without further ado, allow us to give you an idea of how the Internet of Things has been improving the safety within the workplace as we discuss the top 3 ways it’s going to affect the construction world.

1. GPUs Embedded in Heavy Machinery

With the help of IoT technology, it has become possible to embed GPUs in construction machinery and equipment. Nvidia even announced a partnership with Japan’s Komatsu Ltd., which is one of the largest makers of construction and mining equipment. The idea is to equip construction equipment with GPU that would improve the safety, as well as the productivity within the construction site as well.

This would make things more convenient, as one of the most significant issues often faced in the construction world is the use of large equipment– they are one of the leading causes of construction accidents every year.

To support that, the Bureau of Labor and Statistics reported that there are more than 10,000 injuries caused by machinery and vehicle accidents. Not only does it lead to a million-dollar lost in the industry, but it also costs the lives of the workers.

The Japan Construction Occupational Safety and Health Association also file a report stating that there have been more than 300 deaths and 15,000 injuries that happened since last year.

With IoT, together with AI, construction vehicles will gain a better awareness of their surroundings, and this would lessen the occurrence of injuries. This impact can also be experienced with autonomous vehicles.

Numerous amounts of data will be combined with machine learning, allowing vehicles to easily differentiate trees from other vehicles and humans– thus, accidents will be prevented. Similarly, outfitting heaving machinery with AI platform would make it more aware of its surroundings. Machines will be able to see almost everything, allowing them to avoid danger.

2. Modular Construction

In 2018, we can expect more modular construction in safer, hassle-free construction sites will be carried out. Additionally, there will also be more evaluation of safety on construction site, and the Internet of Things makes this accurate, as conventional equipment will be embedded with trackers– this includes their safety vests, helmets, and so on.

Workers can continuously be monitored to ensure that they are following the safety regulations. Through this, the case of theft, absenteeism, and accidents can be prevented.

3. Machine Learning

The main goal of machine learning-based IoT is to encourage brands to gather massive amounts of data. This data would be analyzed to discover the best methods and strategies to improve efficiency, as well as customer experience. Probably one of the most popular examples of Machine Learning would be the Tay Al bot of Microsoft.

Its main purpose was to learn how 18-24-year-olds act in social media and they will try to copy this behavior. This experiment was a success. Through unsupervised learning, machines work in a way where they discover the most common behaviors in the workplace, and they rank this based on the importance, as well as how it possibly influences the workers. Which also means that supervised learning is possible and it can be enjoyed through a series of data, careful analyzation, memorizing, and so on.

Author Bio:

Chris provides national brands with freelance copywriting, PPC Management Services, and SEO strategies as a Digital Media Strategy Consultant at StrategyBeam.  He is also passionate about emerging technologies and traffic safety issues.

About Erica McCloskey

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